{ "count" : 150024, "data" : [ { "id" : "6a3091f3f292fd229c0c0f46", "title" : "Managing Director, Marketing", "company" : "Sia", "industry" : "Management Consulting", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-16T12:59:29.917", "fingerprint" : "2b63cc314f99ae0b02428688ccd977644fddbd075c630e7d5e693842b23318bb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sia/744000132231147-managing-director-marketing-ai", "externalId" : "744000132231147", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "coreResponsibilities" : "Develop and execute marketing strategies, Drive customer acquisition and retention, Manage marketing campaigns across channels, Analyze marketing data and campaign performance, Optimize marketing spend for ROI, Develop and manage brand strategy, Track and report on growth metrics", "domainKnowledge" : "Marketing strategy; Customer acquisition; Campaign management; Growth metrics; Brand strategy", "domainList" : [ "marketing-strategy", "customer-acquisition", "campaign-management", "growth-metrics", "brand-strategy" ], "domainSpecificKnowledge" : [ "Marketing strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Brand strategy" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. About Sia Experience-Marketing Advisory Sia Experience is the end-to-end marketing and customer experience arm of Sia. Agile and collaborative, our Marketing Advisory Business Line is recognized for delivering high-impact, growth-focused solutions by blending marketing, CX, creative, AI, and deep industry expertise. As strategic partners, The Marketing Advisory team empowers clients across technology, luxury, consumer goods, finance, energy, and more to scale operational excellence and drive brand-led growth through AI- and data-driven strategies. Our teams lead full-funnel marketing transformations—from strategy and go-to-market execution to experience design, performance measurement, and sustainable impact. We are looking for a Managing Director who thrives at the intersection of strategy and action — equally energized by opening a new relationship as by shaping the work that follows. You have spent your career in consulting, built a network that enterprise technology and SaaS leaders trust, and carry a point of view that earns you a seat at the table. This role sits at the center of Sia's Marketing Advisory practice, focused on selling, leading, and scaling consulting engagements that help enterprise tech and SaaS firms transform their marketing operations and strategy. You will originate engagements, lead senior client relationships, and build the practice; bringing thought leadership that shapes how the market thinks about marketing transformation and AI. Thought Leadership & Market Presence * Develop and champion a distinctive point of view on AI, marketing transformation, and enterprise marketing trends across client conversations and practice strategy. * Design scalable operating models and delivery frameworks that maintain quality as the practice grows * Represent Sia externally through speaking engagements, panel moderation, industry associations, and executive-level forums * Demonstrate an established market presence, including membership in recognized advisory councils or industry organizations Business Development & Client Growth * Originate and expand marketing advisory engagements with enterprise clients operating at the CMO and C-suite level, where enterprise marketing transformation decisions are made. * Meet and exceed revenue targets through your established network within enterprise technology and SaaS companies. Bring a track record of developing new business, deepening existing relationships, and converting opportunities into long-term engagements. * Serve as executive sponsor and trusted advisor for strategic client relationships, ensuring delivery excellence and measurable outcomes * Own the financial performance of your portfolio, managing engagement economics with discipline * Lead the work at a strategic level; Setting direction, aligning stakeholders, and ensuring quality all while empowering your team to execute. People & Team * Build and lead a high-performing consulting team through coaching, mentorship, and clear expectations * Foster a culture that develops future leaders and creates advancement opportunities How Success is Measured * Revenue growth: New logos originated and existing accounts expanded against defined targets. * Client impact: Measurable outcomes delivered and long-term relationships retained * Practice scale: Growth of the Marketing Advisory offering, team, and market presence * Thought leadership: External visibility and Sia's reputation in the enterprise marketing and AI space * Team development: Retention, advancement, and readiness of consulting talent Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation * Annual Base Salary Range: $200,000 - $250,000, commensurate with experience and qualifications * Personal Sales Bonus (uncapped) * Individual Performance Bonus (appraisal) Benefits * Comprehensive Health Coverage & Wellness Programs: Medical, Dental, Vision, Life, AD&D, and Voluntary insurance options * Retirement & Tax-Advantaged Accounts: 401K with 4% match (100% vested immediately), HSA, and FSA * Paid Parental Leave * Time Off: Generous PTO, 9 company holidays plus 1 floating holiday * College savings and student loan repayment assistance * Monthly cell phone stipend * Employee Assistance Program at no cost ## Qualifications * Based in the San Francisco Bay Area * 15+ years in management consulting or a comparable Marketing advisory environment, with a track record of growing client relationships and driving revenue at a senior level * A network and presence within enterprise technology and/or SaaS (preferably within Marketing operations) with the ability to access and build relationships at organizations with significant marketing budgets and organizational complexity * Demonstrated experience leading and selling consulting engagements, not just delivering them * Deep expertise in enterprise marketing and a strong understanding of how AI is reshaping marketing organizations, operating models, and customer engagement * Strong commercial instincts comfortable with P&L accountability, pricing, and the economics of a consulting engagement * Exceptional communicator and presenter, with the executive presence to lead conversations at the most senior levels of a client organization * Highly organized and capable of managing a complex, multi-client portfolio without losing precision * Experience in GTM ecosystems of large tech and SaaS companies, performance marketing, product marketing, marketing operations, analytics * Experience building or scaling a practice, team, or business unit * Bachelor's or Master's degree; MBA a plus ## Additional Information Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our [website](https://www.sia-partners.com/en/diversity-equity-inclusion-belonging) for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines At Sia, we embrace a flexible workplace model that supports both client needs and employee well-being. For our senior leadership team, we place a strong emphasis on in-person presence as a driver of our firm’s growth, culture, and client impact. As a member of this leadership group, you will be expected to be in the office at least three days per week, spending meaningful time with our teams and clients. This presence enables you to lead from the front, build strong relationships, and foster the high-performance environment that defines our success. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc).", "summaryDescription" : "Managing Director, Marketing at Sia. Develop and execute marketing strategies. Drive customer acquisition and retention", "postedDate" : "2026-06-15T15:18:58.000", "createdAt" : "2026-06-16T03:33:28.548", "lastUpdated" : "2026-06-16T12:59:29.917", "ingestTimestamp" : "2026-06-16T03:33:28.548", "mongoId" : "6a3091f3f292fd229c0c0f46", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Marketing strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Brand strategy" ], "skillCount" : 5, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.98 }, { "id" : "6a30587ff292fd229cf42822", "title" : "Managing Director, Marketing", "company" : "Sia", "industry" : "Management Consulting", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "timestamp" : "2026-06-16T08:06:59.519", "fingerprint" : "74e62ce4932a562aa5a31d0802f3ebe8b175377bebb99d3104ab2dfc1782c571", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sia/744000132231147-managing-director-marketing-ai", "externalId" : "744000132231147", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "coreResponsibilities" : "Develop and execute marketing strategies, Drive customer acquisition and retention, Manage marketing campaigns across channels, Analyze marketing data and campaign performance, Optimize marketing spend for ROI, Develop and manage brand strategy, Track and report on growth metrics", "domainKnowledge" : "Brand strategy; Customer acquisition; Campaign management; Growth metrics", "domainList" : [ "brand-strategy", "customer-acquisition", "campaign-management", "growth-metrics" ], "domainSpecificKnowledge" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. About Sia Experience-Marketing Advisory Sia Experience is the end-to-end marketing and customer experience arm of Sia. Agile and collaborative, our Marketing Advisory Business Line is recognized for delivering high-impact, growth-focused solutions by blending marketing, CX, creative, AI, and deep industry expertise. As strategic partners, The Marketing Advisory team empowers clients across technology, luxury, consumer goods, finance, energy, and more to scale operational excellence and drive brand-led growth through AI- and data-driven strategies. Our teams lead full-funnel marketing transformations—from strategy and go-to-market execution to experience design, performance measurement, and sustainable impact. We are looking for a Managing Director who thrives at the intersection of strategy and action — equally energized by opening a new relationship as by shaping the work that follows. You have spent your career in consulting, built a network that enterprise technology and SaaS leaders trust, and carry a point of view that earns you a seat at the table. This role sits at the center of Sia's Marketing Advisory practice, focused on selling, leading, and scaling consulting engagements that help enterprise tech and SaaS firms transform their marketing operations and strategy. You will originate engagements, lead senior client relationships, and build the practice; bringing thought leadership that shapes how the market thinks about marketing transformation and AI. Thought Leadership & Market Presence * Develop and champion a distinctive point of view on AI, marketing transformation, and enterprise marketing trends across client conversations and practice strategy. * Design scalable operating models and delivery frameworks that maintain quality as the practice grows * Represent Sia externally through speaking engagements, panel moderation, industry associations, and executive-level forums * Demonstrate an established market presence, including membership in recognized advisory councils or industry organizations Business Development & Client Growth * Originate and expand marketing advisory engagements with enterprise clients operating at the CMO and C-suite level, where enterprise marketing transformation decisions are made. * Meet and exceed revenue targets through your established network within enterprise technology and SaaS companies. Bring a track record of developing new business, deepening existing relationships, and converting opportunities into long-term engagements. * Serve as executive sponsor and trusted advisor for strategic client relationships, ensuring delivery excellence and measurable outcomes * Own the financial performance of your portfolio, managing engagement economics with discipline * Lead the work at a strategic level; Setting direction, aligning stakeholders, and ensuring quality all while empowering your team to execute. People & Team * Build and lead a high-performing consulting team through coaching, mentorship, and clear expectations * Foster a culture that develops future leaders and creates advancement opportunities How Success is Measured * Revenue growth: New logos originated and existing accounts expanded against defined targets. * Client impact: Measurable outcomes delivered and long-term relationships retained * Practice scale: Growth of the Marketing Advisory offering, team, and market presence * Thought leadership: External visibility and Sia's reputation in the enterprise marketing and AI space * Team development: Retention, advancement, and readiness of consulting talent Compensation & Benefits We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation * Annual Base Salary Range: $200,000 - $250,000, commensurate with experience and qualifications * Personal Sales Bonus (uncapped) * Individual Performance Bonus (appraisal) Benefits * Comprehensive Health Coverage & Wellness Programs: Medical, Dental, Vision, Life, AD&D, and Voluntary insurance options * Retirement & Tax-Advantaged Accounts: 401K with 4% match (100% vested immediately), HSA, and FSA * Paid Parental Leave * Time Off: Generous PTO, 9 company holidays plus 1 floating holiday * College savings and student loan repayment assistance * Monthly cell phone stipend * Employee Assistance Program at no cost ## Qualifications * Based in the San Francisco Bay Area * 15+ years in management consulting or a comparable Marketing advisory environment, with a track record of growing client relationships and driving revenue at a senior level * A network and presence within enterprise technology and/or SaaS (preferably within Marketing operations) with the ability to access and build relationships at organizations with significant marketing budgets and organizational complexity * Demonstrated experience leading and selling consulting engagements, not just delivering them * Deep expertise in enterprise marketing and a strong understanding of how AI is reshaping marketing organizations, operating models, and customer engagement * Strong commercial instincts comfortable with P&L accountability, pricing, and the economics of a consulting engagement * Exceptional communicator and presenter, with the executive presence to lead conversations at the most senior levels of a client organization * Highly organized and capable of managing a complex, multi-client portfolio without losing precision * Experience in GTM ecosystems of large tech and SaaS companies, performance marketing, product marketing, marketing operations, analytics * Experience building or scaling a practice, team, or business unit * Bachelor's or Master's degree; MBA a plus ## Additional Information Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our [website](https://www.sia-partners.com/en/diversity-equity-inclusion-belonging) for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines At Sia, we embrace a flexible workplace model that supports both client needs and employee well-being. For our senior leadership team, we place a strong emphasis on in-person presence as a driver of our firm’s growth, culture, and client impact. As a member of this leadership group, you will be expected to be in the office at least three days per week, spending meaningful time with our teams and clients. This presence enables you to lead from the front, build strong relationships, and foster the high-performance environment that defines our success. Work Authorization & Sponsorship At this time, Sia does not intend to employ any applicant who will require, either now or in the future, employment visa sponsorship or sponsorship for work authorization (i.e., H1-B visa, F-1/OPT) or STEM OPT, TN, etc).", "summaryDescription" : "Managing Director, Marketing at Sia. Develop and execute marketing strategies. Drive customer acquisition and retention", "postedDate" : "2026-06-15T15:18:58.000", "createdAt" : "2026-06-15T23:41:12.993", "lastUpdated" : "2026-06-16T08:06:59.519", "ingestTimestamp" : "2026-06-15T23:41:12.993", "mongoId" : "6a30587ff292fd229cf42822", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d024e74d8ee00a0abbc9d", "title" : "Data and AI Marketing Intern", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data and AI Marketing Intern in Alexandria, United States, adjusted for the technology industry." }, "location" : "Alexandria, VA", "locations" : [ "Alexandria, VA" ], "timestamp" : "2026-06-16T06:12:07.063", "fingerprint" : "4f4c4efce6ad0b5bd7f08cf27db19dffaac43726855640ef3a2b30d36e1a76f1", "source" : "jazzhr", "language" : "en", "externalId" : "5wjRGUZ0z4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8051095,-77.0470229" } ], "locationText" : "Alexandria, Virginia, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "summaryDescription" : "Data and AI Marketing Intern", "createdAt" : "2026-06-14T19:12:31.506", "lastUpdated" : "2026-06-16T06:12:07.063", "ingestTimestamp" : "2026-06-14T19:12:31.506", "mongoId" : "6a2d024e74d8ee00a0abbc9d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058aff292fd229cf43b48", "title" : "Managing Attorney, Programs and Subcontract Administration (PSA)", "industry" : "Legal", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager level attorney in Santa Ana, California, adjusted for the legal industry and typical company size." }, "location" : "Santa Ana, CA", "locations" : [ "Santa Ana, CA" ], "timestamp" : "2026-06-16T09:12:04.498", "fingerprint" : "5cef5fb3f40c1bc89f6e2c55296990359413276720df04cd7b44dcffaade4544", "source" : "jazzhr", "language" : "en", "externalId" : "STtP3MFcOu", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Ana", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7494951,-117.8732210" } ], "locationText" : "Santa Ana, California, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Managing Attorney, Programs and Subcontract Administration (PSA)", "createdAt" : "2026-06-15T22:16:32.042", "lastUpdated" : "2026-06-16T09:12:04.498", "ingestTimestamp" : "2026-06-15T22:16:32.042", "mongoId" : "6a3058aff292fd229cf43b48", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Manager", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706987fc9a711f0f6fde6", "title" : "Marketing Manager and PM", "company" : "Servicios Comerciales Amazon Mexico S. de R.L. de C.V.", "industry" : "Project/Program/Product Management--Non-Tech, Marketing, Retail", "salary" : { "min" : 600000.0, "max" : 950000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Marketing Manager and PM in E-Commerce in Mexico City, Mexico, adjusted for seniority and industry." }, "location" : "Mexico City, Mexico City, MEX", "locations" : [ "Mexico City, Mexico City, MEX" ], "timestamp" : "2026-06-15T08:14:56.427", "fingerprint" : "ef769b11a4611dfe2a375ca2c82916739101a27173046e0c4a48d3186cc60069", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052883/apply", "externalId" : "5aaee135-0145-4aad-b73b-a3baed6a78d6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceLevel" : "Manager", "technicalSkills" : "Excel, Tableau, Marketo, Salesforce", "professionalSkills" : [ "Customer acquisition", "Conversion rate optimization", "Customer experience", "Performance tracking", "Merchandising activities", "Marketing campaigns", "Business judgment", "Analytical capabilities" ], "hardSkillsList" : [ "Data manipulation", "Data analysis", "Performance metrics" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Customer acquisition, Conversion rate optimization, Customer experience, Marketing campaigns", "majorSkillsList" : [ "Customer acquisition", "Conversion rate optimization", "Customer experience", "Marketing campaigns" ], "coreResponsibilities" : "Develop merchandising activities, Execute merchandising activities, Support promotional events, Support marketing campaigns, Design enhancement projects, Lead enhancement projects, Implement enhancement projects, Create performance metrics, Analyze performance metrics, Drive business decisions, Partner with teams, Build supporting automation, Define strategic roadmap, Improve Customer Experience, Influence program roadmaps, Influence technical teams, Manage key stakeholders", "teamCollaboration" : "Cross-functional collaboration; Technical teams; Business teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Customer experience; Demand generation", "domainList" : [ "customer-experience", "demand-generation" ], "domainSpecificKnowledge" : [ "Customer experience", "Demand generation" ], "toolProficiency" : [ "Excel", "Tableau", "Marketo", "Salesforce" ], "continuousLearning" : "Knowledge sharing; Mentorship", "innovationCreativity" : "Innovative programs; New ideas", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Propel business forward", "qualificationsBasic" : "4+ years marketing experience, Experience using data, Experience with Excel, Experience building programs, English proficiency", "qualificationsPreferred" : "Experience using customer research, Experience utilizing systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you geared towards building relationships and marketing projects that continuously delight your customers? Are you excited about making history and driving significant impact? Amazon hires the world's brightest minds and offers them an environment in which they can invent world class solutions to improve customer experience. In this pivotal role, you will be responsible for customer acquisition, conversion rate optimization, and enhancing the customer experience through innovative programs and features. Leveraging data and performance tracking, you will identify growth opportunities and implement new ideas to propel the business forward. Key areas of focus for this role include: Marketing Develop and execute merchandising activities to support promotional events and marketing campaigns. Design, lead and implement customer experience enhancement/improvement projects. Create and analyze performance metrics and drive business decisions about future direction. Partner with various technical and business teams to build supporting automation. Project Management Define the strategic roadmap to improve Customer Experience. Influence program roadmaps and technical teams and manage key stakeholders worldwide. The ideal candidate will possess strong business judgment, experience in marketing, a track record of delivering results through cross-functional collaboration, and excellent analytical capabilities. About the team At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional. Inclusive team culture At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work Life Balance We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional. Basic Qualifications: - 4+ years of professional non-internship marketing experience - Experience using data and metrics to drive improvements - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - Experience using Microsoft Excel to manipulate and analyze data - Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion - English proficiency. Preferred Qualifications: - Experience using customer research, hard data and metrics to back up assumptions, generate forecasts, and assess the efficacy of marketing programs - Experience utilizing systems and tools involving email, web, analytics, and CRM (Marketo, Tableau, Salesforce, etc.) for targeting, segmentation, reporting for demand generation Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Marketing Manager and PM at Servicios Comerciales Amazon Mexico S. de R.L. de C.V.. Skills: Customer acquisition, Conversion rate optimization, Customer experience, Marketing campaigns. Develop merchandising activities. Execute merchandising activities", "postedDate" : "2026-06-13T15:29:37.159", "createdAt" : "2026-06-13T15:29:37.159", "lastUpdated" : "2026-06-15T08:14:56.427", "ingestTimestamp" : "2026-06-13T15:29:37.159", "mongoId" : "68b706987fc9a711f0f6fde6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052883/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Data analysis", "Performance metrics", "Leadership", "Customer acquisition", "Conversion rate optimization", "Customer experience", "Marketing campaigns", "Performance tracking", "Merchandising activities", "Business judgment", "Analytical capabilities", "Roadmap planning", "Demand generation", "Excel", "Tableau", "Marketo", "Salesforce" ], "skillCount" : 18, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f05f292fd229c0547e3", "title" : "Business and Marketing Data Scientist, Applied Machine Learning", "location" : "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "locations" : [ "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:24:18.072", "fingerprint" : "4717c1e42f2ee85eecbaba5636de439dd5a54f0f3c2bed2eb122a550784617bd", "source" : "google", "language" : "en", "externalId" : "128209708757459654", "industryFunction" : { }, "structuredLocations" : [ { "city" : "new york mills", "state" : "new york", "country" : "United States", "continent" : "north america", "source" : "locations-index", "workMode" : "onsite", "geo" : "43.10535,-75.29128" }, { "city" : "nubl", "state" : "aleppo", "country" : "Syria", "continent" : "asia", "source" : "locations-index", "workMode" : "onsite", "geo" : "36.37867,36.99294" }, { "country" : "united states", "source" : "country_code_strategy", "workMode" : "onsite", "geo" : "39.8283,-98.5795" }, { "city" : "mountain view", "state" : "oklahoma", "country" : "United States", "continent" : "north america", "source" : "locations-index", "workMode" : "onsite", "geo" : "35.09756,-98.74646" } ], "locationText" : "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]; [Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]", "technicalSkills" : "SQL, Python, R, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Applied Machine Learning, Data Science, Business Intelligence, Marketing Analytics", "majorSkillsList" : [ "Applied Machine Learning", "Data Science", "Business Intelligence", "Marketing Analytics" ], "coreResponsibilities" : "Develop and deploy machine learning models, Analyze marketing campaign performance, Build and maintain data pipelines, Create dashboards and reports, Collaborate with marketing and product teams, Communicate findings to stakeholders", "teamCollaboration" : "Marketing teams; Product teams; Cross-functional teams", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Marketing attribution", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "marketing-attribution" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Marketing attribution" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document models; Document pipelines", "problemSolvingSkills" : "Analytical thinking; Problem-solving", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Proficiency in Python or R", "qualificationsPreferred" : "PhD in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "summaryDescription" : "Business and Marketing Data Scientist, Applied Machine Learning. Skills: Applied Machine Learning, Data Science, Business Intelligence, Marketing Analytics. Develop and deploy machine learning models. Analyze marketing campaign performance", "postedDate" : "2026-06-16T01:48:48.533", "createdAt" : "2026-06-16T01:48:48.533", "lastUpdated" : "2026-06-16T11:24:18.072", "ingestTimestamp" : "2026-06-16T01:48:48.533", "mongoId" : "6a307f05f292fd229c0547e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Applied Machine Learning", "Data Science", "Business Intelligence", "Marketing Analytics", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Marketing analytics", "Customer segmentation", "Campaign optimization", "Marketing attribution", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.0 }, { "id" : "6a210e2074d8ee00a0af5d5b", "title" : "Data and AI Consultant", "industry" : "Consulting", "location" : "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]", "locations" : [ "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:43.961", "fingerprint" : "ce5f54c24f1d83855c92bcc25d7de6eb92fe29ce03d92b75ad978f7e88ee4e1a", "source" : "google", "language" : "en", "externalId" : "122332690157314758", "industryFunction" : { }, "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Analyze complex datasets, Provide insights and recommendations, Collaborate with stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Client presentations; Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Data and AI Consultant. Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "6a210e7f74d8ee00a0af7db5", "title" : "Marketing Manager, Global Agency and Partner Marketing", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Marketing Manager, Global Agency and Partner Marketing in Mountain View, United States, adjusted for industry and company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[San Francisco, CA, USA, [San Francisco, CA, USA], San Francisco, null, CA, US]" ], "timestamp" : "2026-06-16T10:47:59.666", "fingerprint" : "e001dd359d2ca0b5a15b83072167b2610ef6bceb4fdf5441241eeb7c3f07cf08", "source" : "google", "language" : "en", "externalId" : "87626021511013062", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Manager", "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "summaryDescription" : "Marketing Manager, Global Agency and Partner Marketing. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics", "postedDate" : "2026-06-16T01:51:20.990", "createdAt" : "2026-06-16T01:51:20.990", "lastUpdated" : "2026-06-16T10:47:59.666", "ingestTimestamp" : "2026-06-16T01:51:20.990", "mongoId" : "6a210e7f74d8ee00a0af7db5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3066fff292fd229cfb805a", "title" : "Manager, International Data and Strategy", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:06:39.308", "fingerprint" : "e94f06cfdc68def5c408265f1856d6fe9ae9b66f2e39878d1bcb2aa5fb6e5d61", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5263067008", "externalId" : "5263067008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AWS Redshift, Adobe Marketing Suite, AEP, AEM, AJO, Power BI, Tableau", "professionalSkills" : [ "Data strategy", "Product ownership", "Technical leadership" ], "hardSkillsList" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Influencing" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Influencing" } ], "majorSkills" : "Data strategy, Product ownership, Technical leadership", "majorSkillsList" : [ "Data strategy", "Product ownership", "Technical leadership" ], "coreResponsibilities" : "Develop data strategy, Own product roadmaps, Lead technical initiatives, Manage enterprise-scale data initiatives, Oversee cloud data platforms, Oversee data lakes, Oversee governance frameworks, Ensure privacy and compliance, Manage consent data, Engage senior leaders, Work with technical partners, Motivate teams", "teamCollaboration" : "Cross-functional teams; Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Manager, International Data and Strategy at The National Football League. Skills: Data strategy, Product ownership, Technical leadership. Develop data strategy. Own product roadmaps", "postedDate" : "2026-06-15T23:29:04.090", "createdAt" : "2026-06-15T23:29:04.090", "lastUpdated" : "2026-06-16T11:06:39.308", "ingestTimestamp" : "2026-06-15T23:29:04.090", "mongoId" : "6a3066fff292fd229cfb805a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Influencing", "Data strategy", "Product ownership", "Technical leadership", "Fan engagement", "Lifecycle marketing", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. Lead implementation of data solutions", "postedDate" : "2026-06-13T14:22:44.066", "createdAt" : "2026-06-13T14:22:44.066", "lastUpdated" : "2026-06-15T07:27:32.772", "ingestTimestamp" : "2026-06-13T14:22:44.066", "mongoId" : "69cf3f062beec4dd3d9340ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382143/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration", "Data architecture", "AWS data services", "Data platform design", "Analytics architecture", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration", "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30794df292fd229c031216", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 192000.0, "max" : 238810.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T15:07:30.375", "fingerprint" : "aaf0e33227ca131481be4962d98f3d416a3d9e7ac0a72837e11beccb51a05d5d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/791ccf38-f164-4521-b05d-6f35fa1e7245/application", "externalId" : "791ccf38-f164-4521-b05d-6f35fa1e7245", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. Lead cross-functional teams", "createdAt" : "2026-06-16T01:59:44.833", "lastUpdated" : "2026-06-16T15:07:30.375", "ingestTimestamp" : "2026-06-16T01:59:44.833", "mongoId" : "6a30794df292fd229c031216", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Leadership", "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence", "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks", "Agile", "B2B SaaS", "Cloud-native architecture", "GDPR", "SOC 2", "PIPEDA", "CCPA", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "skillCount" : 90, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d1a7a74d8ee00a0aef136", "title" : "Marketing and Events Analyst - (VN2861)", "company" : "Marex", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Marketing and Events Analyst in London, United Kingdom, within the Financial Services industry." }, "location" : "London, GB", "locations" : [ "London", "GB" ], "timestamp" : "2026-06-16T05:19:36.004", "fingerprint" : "89491d91e85528a30a7f028d3602bcbd6cac12b6313e70b9705a02ef10d70f15", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://marex.breezy.hr/p/3b57e801735c01-marketing-and-events-analyst-vn2861", "externalId" : "3b57e801735c01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "rawDescription" : "About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across", "summaryDescription" : "Marketing and Events Analyst - (VN2861) at Marex", "createdAt" : "2026-06-14T18:40:10.822", "lastUpdated" : "2026-06-16T05:19:36.004", "ingestTimestamp" : "2026-06-14T18:40:10.822", "mongoId" : "6a2d1a7a74d8ee00a0aef136", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e9374d8ee00a0af8489", "title" : "Strategy and Operations Manager, Global Ads and Commerce Marketing", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in New York, United States, adjusted for seniority and company size." }, "location" : "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "locations" : [ "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "timestamp" : "2026-06-16T10:54:22.520", "fingerprint" : "882d047c82a93ac6e9b84910d72110b24acccb8ac2354d7250825c0b9d58652a", "source" : "google", "language" : "en", "externalId" : "126906241917035206", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Manager", "summaryDescription" : "Strategy and Operations Manager, Global Ads and Commerce Marketing", "postedDate" : "2026-06-16T01:51:43.852", "createdAt" : "2026-06-16T01:51:43.852", "lastUpdated" : "2026-06-16T10:54:22.520", "ingestTimestamp" : "2026-06-16T01:51:43.852", "mongoId" : "6a210e9374d8ee00a0af8489", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305f9ef292fd229cf7eb15", "title" : "Head of Marketing Strategy and Operations", "company" : "Moonpig Group", "industry" : "Marketing, Cards & Customer (Moonpig)", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Head of Marketing Strategy and Operations in London, UK, adjusted for the e-commerce industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T12:47:09.368", "fingerprint" : "8a6f691fa832ce0a00ca536ee4f8d5f6f4d543fcc471ae66127818c0af95eb4a", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/moonpig/50b36346-1471-40f8-ae2c-07de7e4028c9/apply", "externalId" : "50b36346-1471-40f8-ae2c-07de7e4028c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Marketing strategy", "Marketing operations", "Marketing planning", "Performance measurement", "Budget management", "Forecasting", "Stakeholder management", "Project management", "Process creation", "Operating models" ], "hardSkillsList" : [ "Data analysis", "Performance reporting", "Campaign management" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" }, { "name" : "Campaign management", "level" : "intermediate" } ], "majorSkills" : "Marketing strategy, Marketing operations, Budget management, Performance visibility", "majorSkillsList" : [ "Marketing strategy", "Marketing operations", "Budget management", "Performance visibility" ], "coreResponsibilities" : "Lead annual UK marketing planning cycles, Lead quarterly UK marketing planning cycles, Align activity across marketing teams, Build UK marketing calendar, Maintain UK marketing calendar, Own UK marketing budget, Forecast marketing spend, Allocate marketing spend, Track marketing spend, Optimize marketing spend, Develop unified performance dashboards, Evolve attribution methodologies, Evolve incrementality methodologies, Evolve performance measurement methodologies, Lead post-campaign reviews, Translate insights into actions, Improve future planning, Improve creative effectiveness, Improve commercial performance, Present marketing performance updates, Own campaign workflows, Own briefing processes, Own approval frameworks, Own operating rhythms, Support effective campaign delivery, Drive collaboration across marketing functions, Drive collaboration with agency partners, Maintain Moonpig Marketing Playbook, Evolve Moonpig Marketing Playbook, Define campaign planning, Define peak trading execution, Manage marketing planning tools, Manage reporting tools, Manage project management tools, Manage performance tools, Support operational excellence", "teamCollaboration" : "Across Brand, Campaigns, PR, Social, Performance Marketing, CRM, Creative; Across internal marketing functions; With external agency partners; With Analytics and Research teams", "projectManagementSkills" : [ "Project management", "Process creation", "Operating models" ], "domainKnowledge" : "Multi-channel marketing; Ecommerce", "domainList" : [ "multi-channel-marketing", "ecommerce" ], "domainSpecificKnowledge" : [ "Multi-channel marketing", "Ecommerce" ], "toolProficiency" : [ "Marketing Playbook" ], "communicationSkills" : "Present performance updates", "documentationSkills" : "Marketing Playbook", "continuousLearning" : "Learning allowances; Coaching; Development programs", "problemSolvingSkills" : "Translate complex data into clear insights; Translate complex data into actionable recommendations", "outcomesObjectives" : "Deliver outstanding results; Improve future planning; Improve creative effectiveness; Improve commercial performance; Improve team effectiveness", "qualificationsBasic" : "Significant experience in marketing strategy, Significant experience in marketing operations, Significant experience in marketing planning, Significant experience in performance focused roles, Proven success in multi-channel marketing, Proven success in ecommerce environment, Experience managing budgets, Experience forecasting, Experience with Marketing investment decisions, Ability to translate complex data into clear insights, Ability to translate complex data into actionable recommendations, Experience building reporting frameworks, Experience building performance measurement approaches, Experience improving reporting frameworks, Experience improving performance measurement approaches, Excellent stakeholder management skills, Confidence to influence at all levels, Organisational capabilities, Project management capabilities, Demonstrated experience creating efficient processes, Demonstrated experience creating operating models, Demonstrated experience creating ways of working, Collaborative approach", "qualificationsPreferred" : "Experience with CRM, Experience with PR, Experience with Social Media Marketing, Experience with Performance Marketing, Experience with Brand Marketing", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## Description We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles. We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care. We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive. If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. \uD83C\uDF19\uD83D\uDC37 About the Role We're looking for a Head of Marketing Strategy & Operations to be the commercial and operational engine of the Moonpig UK Marketing team. This is a high impact leadership role responsible for connecting strategy to execution, ensuring our marketing organisation is focused, efficient, and set up to deliver outstanding results. You'll lead planning cycles, own the marketing budget, drive performance visibility, and build the systems, processes, and operating rhythms that enable best in class marketing across key seasonal moments and everyday campaigns. Working closely with teams across Brand, Campaigns, PR, Social, Performance Marketing, CRM, Creative, Analytics and Research, you'll help shape how marketing operates at scale while ensuring every decision is informed by insight, performance, and commercial impact. This role is based in our London Farringdon office, on a hybrid basis (2 days a week) ## Key Responsibilities Lead annual and quarterly UK marketing planning cycles, aligning activity across Brand, Campaigns, PR, Social, Performance Marketing, CRM and Creative teams. Build and maintain the full UK marketing calendar, including monthly campaigns, seasonal peaks, major events and product launches. Own the UK marketing budget, including forecasting, spend allocation, tracking and optimisation. Develop unified performance dashboards covering traffic, new customer acquisition, brand health and media efficiency. Partner with Analytics and Research teams to evolve attribution, incrementality and performance measurement methodologies. Lead post-campaign reviews, translating insights into actions that improve future planning, creative effectiveness and commercial performance. Present regular marketing performance updates to the UK Leadership Team and Group CMO. Own campaign workflows, briefing processes, approval frameworks and operating rhythms that support effective campaign delivery. Drive collaboration across internal marketing functions and external agency partners. Maintain and evolve the Moonpig Marketing Playbook, defining how major campaigns and peak trading moments are planned and executed. Manage marketing planning, reporting, project management and performance tools to support operational excellence across the function. ## About you Significant experience in marketing strategy, operations, planning or performance focused roles. Proven success operating within a multi-channel marketing or ecommerce environment. Strong commerciality with experience managing budgets, forecasting and Marketing investment decisions. Ability to translate complex data into clear insights and actionable recommendations. Experience building and improving reporting frameworks, dashboards and performance measurement approaches. Excellent stakeholder management skills with the confidence to influence at all levels of the organisation. Strong organisational and project management capabilities, balancing multiple priorities in a fast-paced environment. Demonstrated experience creating efficient processes, operating models and ways of working that improve team effectiveness. Collaborative approach with a passion for bringing teams together around shared goals. Comfortable navigating ambiguity and driving clarity, focus and accountability. ## Interview Process Recruiter Screening Call Competency Interview with Hiring Manager Task Presentation and Discussion with Hiring Manager and CMO Team and Culture chat with key team members Our process may vary depending on role and availability. We keep candidates informed of any changes. ## Additional Information What's in it for you? We believe in empowering our team to do their best work. Enjoy: \uD83D\uDCB0 Competitive Pay & Bonuses: Plus, generous pension plans & staff discounts. \uD83D\uDC86\uD83C\uDFFD Wellbeing First: Private healthcare (UK), mental health support & dog-friendly offices (London & NL). \uD83C\uDFD6️ Flexible Working & Time Off: Generous holidays, hybrid working (1-3 days in office, depending on role/team) & up to 20 days of international working. \uD83D\uDCC8 Career Growth: Learning allowances, coaching & development programs. Want to know more? Explore our full benefits package: here Our Ways of Working: We trust our colleagues to do what’s right and offer flexibility to support a balance between work and life. At the same time, face-to-face office time is an important and expected part of working at Moonpig Group. We believe regular in-person working supports collaboration, alignment, and effective decision-making. Candidates will have regular and ongoing time working from the office as part of their role, which will be discussed during the recruitment process. Moonpig Group's Commitment to Equality, Diversity, and Inclusivity: At Moonpig Group, we’re all about creating a workplace where everyone feels they truly belong. We celebrate what makes each of us unique, whether that’s our background, how we work best, or what matters most to us. From working parents who need flexible hours to neurodiverse colleagues with specific working styles, we’re here to support our people in ways that work for them. Because when you feel valued and included, you can thrive, and so can we. We’re proud to have a number of employee-led groups driving this forward, including our LGBTQ+, Gender Balance, Neurodiversity and EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) communities, plus our Group-wide EDI committee. These teams help make sure every voice is heard and every idea has a place. We know that diversity fuels creativity, innovation and connection, and that’s why we’ll keep pushing for progress. Together, we’re building a culture where everyone feels safe, supported, and free to be their brilliant, authentic selves. If you have a preferred name, please use it to apply and share your pronouns if you are comfortable to do so\uD83D\uDE0A - If you have any reasonable adjustment requests throughout the interview process please let us know on your application or speak to the Recruiter.", "summaryDescription" : "Head of Marketing Strategy and Operations at Moonpig Group. Skills: Marketing strategy, Marketing operations, Budget management, Performance visibility. Lead annual UK marketing planning cycles. Lead quarterly UK marketing planning cycles", "postedDate" : "2026-06-15T16:07:12.522", "createdAt" : "2026-06-15T16:07:12.522", "lastUpdated" : "2026-06-16T12:47:09.368", "ingestTimestamp" : "2026-06-16T03:23:09.926", "mongoId" : "6a305f9ef292fd229cf7eb15", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Performance reporting", "Campaign management", "Marketing strategy", "Marketing operations", "Budget management", "Performance visibility", "Marketing planning", "Performance measurement", "Forecasting", "Stakeholder management", "Project management", "Process creation", "Operating models", "Multi-channel marketing", "Ecommerce", "Marketing Playbook" ], "skillCount" : 17, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3050fbf292fd229cef7c14", "title" : "Marketing Event and Trade Show Manager", "company" : "CesiumAstro", "industry" : "Marketing", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Marketing Event and Trade Show Manager in Austin, United States, adjusted for the technology industry and company size." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T11:01:21.630", "fingerprint" : "4ef87cd50bdb8cca304be3e787bf929f0a540d265df8f0a5b268fc12aa3f008c", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/CesiumAstro/2d20f5df-f06b-4fa9-ae2e-f2becddf1d1d/apply", "externalId" : "2d20f5df-f06b-4fa9-ae2e-f2becddf1d1d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Marketing automation, CRM", "professionalSkills" : [ "Event planning", "Trade show management", "Budget management", "Vendor management", "Contract negotiation", "Project management", "Lead generation", "Campaign management", "Content creation", "Social media marketing", "Email marketing", "Analytics", "Reporting" ], "hardSkillsList" : [ "Event planning", "Trade show management", "Budget management", "Vendor management", "Contract negotiation", "Project management", "Lead generation", "Campaign management", "Content creation", "Social media marketing", "Email marketing", "Analytics", "Reporting" ], "hardSkills" : [ { "name" : "Event planning", "level" : "intermediate" }, { "name" : "Trade show management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Vendor management", "level" : "intermediate" }, { "name" : "Contract negotiation", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Lead generation", "level" : "intermediate" }, { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Social media marketing", "level" : "intermediate" }, { "name" : "Email marketing", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Event management, Trade show management, Marketing campaigns", "majorSkillsList" : [ "Event management", "Trade show management", "Marketing campaigns" ], "coreResponsibilities" : "Develop and execute marketing strategies, Plan and manage marketing events, Manage trade show participation, Develop and manage marketing budgets, Negotiate contracts with vendors, Manage vendor relationships, Oversee project management for marketing initiatives, Develop and implement lead generation strategies, Manage marketing campaigns across various channels, Create compelling marketing content, Manage social media marketing efforts, Develop and execute email marketing campaigns, Analyze marketing data and report on performance, Collaborate with sales and product teams, Stay up-to-date with industry trends", "teamCollaboration" : "Sales teams; Product teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "B2B marketing", "domainList" : [ "b2b-marketing" ], "domainSpecificKnowledge" : [ "B2B marketing" ], "qualificationsBasic" : "5+ years of experience in marketing, Experience in event planning, Experience in trade show management, Experience in budget management, Experience in vendor management, Experience in contract negotiation, Experience in project management, Experience in marketing automation, Experience in CRM, Experience in B2B marketing, Experience in lead generation, Experience in campaign management, Experience in content creation, Experience in social media marketing, Experience in email marketing, Experience in analytics and reporting, Bachelor's degree in Marketing or related field", "qualificationsPreferred" : "Master's degree in Marketing or related field, Experience in aerospace or defense industry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are looking to add a Marketing and Tradeshow Coordinator to our team. If you are passionate about marketing, thrive in a dynamic and challenging environment, and are interested in working with a company focused on satellites, spacecraft, and aerospace systems, we would like to hear from you. The ideal candidate will play a pivotal role in executing B2B marketing strategies and coordinating tradeshows, contributing to the overall success of our events, brand, and company. ## JOB DUTIES AND RESPONSIBILITIES Event Planning and Tradeshow Execution Lead the planning, coordination, execution, and continuous improvement of CesiumAstro’s tradeshow, conference, customer engagement, and event participation activities. Manage the company’s participation in major industry tradeshows, conferences, and customer-facing events, ensuring successful execution from initial planning through post-event follow-up and evaluation. Develop and maintain detailed project plans, timelines, logistics schedules, budgets, execution checklists, and risk mitigation plans to support successful event delivery. Coordinate all event operational requirements including booth reservations, vendor management, shipping logistics, installation and dismantle schedules, hotel accommodations, badge registrations, meeting space reservations, and event compliance requirements. Coordinate the delivery, setup, operation, and return of product hardware, demonstration equipment, marketing assets, and supporting materials required for customer engagements and industry events. Identify opportunities to improve event processes, execution efficiency, attendee engagement, and operational effectiveness, and implement approved improvements. Track event performance metrics and prepare post-event analyses, recommendations, and lessons learned to support future planning and continuous improvement efforts. Customer Engagement and Sponsorship Management Partner with Marketing Communications, Business Development, Product Management, and Engineering teams to develop event messaging, presentations, collateral, demonstrations, and engagement activities aligned with business objectives. Support executive meetings, customer dinners, hospitality events, networking opportunities, and strategic relationship-building activities associated with industry events and customer engagements. Ensure all customer-facing experiences reflect CesiumAstro’s brand standards, messaging, professionalism, and commitment to operational excellence. Collaborate with internal stakeholders to prepare and submit conference applications, speaking abstracts, sponsorship materials, award nominations, and event participation documentation. Maintain awareness of customer expectations, industry trends, competitor activities, and event best practices to support continuous improvement and maximize event effectiveness. Cross-Functional Collaboration and Operational Support Serve as a primary point of coordination between Marketing, Business Development, Product Management, Engineering, Operations, and Executive Leadership teams for event-related planning and execution activities. Facilitate event planning meetings, project reviews, execution updates, and post-event debrief sessions to ensure alignment and successful delivery of event objectives. Build and maintain effective working relationships with vendors, venues, contractors, industry organizations, and external service providers to support successful event execution. Provide recommendations regarding event logistics, sponsorship opportunities, process improvements, and customer engagement activities based on experience, analysis, and event outcomes. Anticipate operational challenges and proactively develop solutions and contingency plans to minimize disruptions and maintain execution quality. Provide guidance and support to less experienced team members on event planning processes, standards, and best practices when appropriate. Support employee engagement initiatives and internal company events as business needs require. Perform other duties and responsibilities as assigned in support of business objectives. ## JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS 5-8 of experience in events, customer engagement, or tradeshow logistics with BS/BA 3-6 years with MS/BA Advanced knowledge of tradeshow planning, event logistics, customer engagement practices, and event management best practices. Demonstrated ability to independently manage multiple projects and priorities while maintaining exceptional attention to detail and execution quality. Strong vendor management, contract coordination, budgeting, scheduling, and project management capabilities. Excellent written, verbal, presentation, and interpersonal communication skills. Strong organizational, analytical, problem-solving, and decision-making abilities. Ability to collaborate effectively across cross-functional teams and influence outcomes without direct authority. Working knowledge of branding, marketing communications, customer experience, and lead generation principles. Familiarity with aerospace, defense, technology, or manufacturing environments preferred. Working knowledge of compliance, security, and confidentiality requirements associated with customer and industry events preferred. Microsoft Office Suite, including advanced proficiency in Excel and PowerPoint. Ability to travel up to 25% domestically and occasionally internationally as business needs require. ## Additional Information CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package featuring health, dental, vision, HSA, FSA, life and retirement plans. CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members not through our approved vendor list or Talent Acquisition will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees. CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans. CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.", "summaryDescription" : "Marketing Event and Trade Show Manager at CesiumAstro. Skills: Event management, Trade show management, Marketing campaigns. Develop and execute marketing strategies. Plan and manage marketing events", "postedDate" : "2026-06-15T15:44:36.715", "createdAt" : "2026-06-15T15:44:36.715", "lastUpdated" : "2026-06-16T11:01:21.630", "ingestTimestamp" : "2026-06-16T03:20:30.691", "mongoId" : "6a3050fbf292fd229cef7c14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Event planning", "Trade show management", "Budget management", "Vendor management", "Contract negotiation", "Project management", "Lead generation", "Campaign management", "Content creation", "Social media marketing", "Email marketing", "Analytics", "Reporting", "Event management", "Marketing campaigns", "B2B marketing" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae6e870f0b99d589b3ac2", "title" : "Director of Marketing and Communications", "company" : "SMU", "industry" : "Education", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for a Director of Marketing and Communications in Dallas, TX, with adjustments for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "timestamp" : "2026-06-15T09:13:54.183", "fingerprint" : "1d4be0213df2b704932d575a826f9f02b4e2018bcd202078daae3cbd6dc978d8", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=73531", "externalId" : "73531", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Thought leadership", "Communications" ], "hardSkillsList" : [ "Lead generation", "Marketing plan development", "Budgetary operations" ], "softSkillsList" : [ "Interpersonal skills", "Verbal communication skills", "Written communication skills", "Problem-solving skills", "Organizational skills", "Planning skills", "Time management skills" ], "hardSkills" : [ { "name" : "Lead generation", "level" : "intermediate" }, { "name" : "Marketing plan development", "level" : "intermediate" }, { "name" : "Budgetary operations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Verbal communication skills" }, { "name" : "Written communication skills" }, { "name" : "Problem-solving skills" }, { "name" : "Organizational skills" }, { "name" : "Planning skills" }, { "name" : "Time management skills" } ], "majorSkills" : "Marketing strategies, Campaign execution, Brand management, Lead generation", "majorSkillsList" : [ "Marketing strategies", "Campaign execution", "Brand management", "Lead generation" ], "coreResponsibilities" : "Develop strategic communications plan, Implement strategic marketing plan, Promote programs, Promote degree offerings, Promote lead generations, Promote activities, Increase brand awareness, Manage school's brand, Integrate messaging, Generate leads, Forge relationships, Elevate narrative, Develop thought leadership, Develop communications, Engage with vendors, Engage with agencies, Identify prospective students, Yield prospective students, Collaborate on messaging, Promote faculty activities, Promote staff activities, Promote student activities, Create content, Distribute collateral, Support lead generation, Support interest, Create KPIs, Maintain KPIs, Track activities, Identify successful campaigns, Provide monthly reporting, Manage digital content, Manage social media, Manage websites, Supervise Marketing team, Supervise Communications team, Maintain budgetary operations, Handle special projects, Perform other duties", "teamCollaboration" : "Work with Deans; Work with leadership team; Work across campus; Work with student recruiting office", "domainKnowledge" : "Higher education marketing; Admissions strategies; Enrollment strategies", "domainList" : [ "higher-education-marketing", "admissions-strategies", "enrollment-strategies" ], "domainSpecificKnowledge" : [ "Higher education marketing", "Admissions strategies", "Enrollment strategies" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Professional development; Personal development; Tuition benefits", "problemSolvingSkills" : "Problem-solving; Identify problems; Analyze problems; Devise solutions", "specialRequirements" : "Occasional evening hours, Occasional weekend hours, Occasional travel", "outcomesObjectives" : "Increase brand awareness; Drive graduate enrollment; Drive undergraduate enrollment", "qualificationsBasic" : "Bachelor's degree required, Seven years of experience required", "qualificationsPreferred" : "Master's degree preferred, Degree in marketing preferred, Experience in higher education preferred, Experience in admissions strategies preferred, Experience in enrollment strategies preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Position: This role is an on-campus, in-person position. The Director of Marketing drives the bold positioning and visibility of Lyle’s pioneering programs and research by crafting and executing dynamic marketing strategies and campaigns that underscore innovation, impact, and excellence. This leader will assist in driving graduate and undergraduate enrollment by managing the school’s brand, integrates messaging across multimedia platforms, generate leads, and forges relationships with media and stakeholders to elevate Lyle’s narrative. Working with the Deans, the director develops powerful thought leadership and communications, ensuring Lyle’s voice is influential within higher education and industry, with a focus on reaching prospective students and partners. Essential Functions: Develop and implement a strategic communications and marketing plan to promote programs, degree offerings/products, lead generations, and activities of the Lyle School. The Director will work closely with the Dean’s leadership team to increase brand awareness with constituents, including prospective students, corporate partners, executive board members, and media outlets and publications. Engage with external vendors and agencies to identify and yield prospective undergraduate and graduate students. Work across campus to collaborate on SMU and Lyle messaging to internal and external audiences. Works closely with those in the Lyle School to promote activities taking place by faculty, staff and students on behalf of the school. The director will work closely with the student recruiting office to create and distribute content and collateral material to support lead generation and interest from prospective students. Create and maintain key performance indicators (KPIs) to track activities and identify successful marketing campaigns. Provide monthly reporting to the Dean on current marketing strategies and metrics. Responsible for all digital content including social media and websites. Supervises the Marketing and Communications team and maintains budgetary operations. Special projects and other duties as assigned. Occasional evening/weekend hours may be required. Occasional travel may be required. Education and Experience: A Bachelor’s degree is required. A Master's degree is preferred. A degree in marketing or related field is preferred. A minimum of seven (7) years of experience is required. Experience in higher education environments related to admissions and enrollment strategies is preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Candidate must be proficient in Microsoft Office. Candidate familiarity with Slate, PeopleSoft and other CRM systems is preferred. Physical and Environmental Demands: Sit for long periods of time Squat Kneel Deadline to Apply: Priority consideration may be given to submissions received by November 24, 2025. Position is open until filled. EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Marketing and Communications at SMU. Skills: Marketing strategies, Campaign execution, Brand management, Lead generation. Develop strategic communications plan. Implement strategic marketing plan", "createdAt" : "2026-06-14T01:53:49.921", "lastUpdated" : "2026-06-15T09:13:54.183", "ingestTimestamp" : "2026-06-14T01:53:49.921", "mongoId" : "694ae6e870f0b99d589b3ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Lead generation", "Marketing plan development", "Budgetary operations", "Interpersonal skills", "Verbal communication skills", "Written communication skills", "Problem-solving skills", "Organizational skills", "Planning skills", "Time management skills", "Marketing strategies", "Campaign execution", "Brand management", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Thought leadership", "Communications", "Higher education marketing", "Admissions strategies", "Enrollment strategies" ], "skillCount" : 22, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0de74d8ee00a09db551", "title" : "Senior Data and Platform Engineer", "company" : "Avantos", "industry" : "Engineering", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Senior Data and Platform Engineer in New York, United States, with adjustments for seniority, company size, and the FinTech industry." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T01:43:36.688", "fingerprint" : "791ee05e9a932c88a1a3dc229ccc6d96b88ddb4135d2238f2514febf83289574", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/avantos/4b2dc531-155c-4d8a-97b7-d89e27a59c12/application", "externalId" : "4b2dc531-155c-4d8a-97b7-d89e27a59c12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, SQL, Terraform, AWS, Python, Docker, Kubernetes, LLMs, RAG, Vector search", "professionalSkills" : [ "Backend system design", "API design", "Data modeling", "System design" ], "hardSkillsList" : [ "Data engineering", "Platform engineering", "Backend infrastructure" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Backend infrastructure", "level" : "intermediate" } ], "majorSkills" : "Data platform, AI systems, Infrastructure", "majorSkillsList" : [ "Data platform", "AI systems", "Infrastructure" ], "coreResponsibilities" : "Design backend systems, Implement backend systems, Design data platform, Build data platform, Create scalable systems, Design data models, Design APIs, Make decisions about schemas, Make decisions about indexes, Make decisions about migrations, Make decisions about performance, Own infrastructure for data workloads, Own infrastructure for AI workloads, Enable self-serve data workflows, Improve observability, Improve reliability, Improve performance, Support AI/ML systems, Build tooling for document processing, Build tooling for metadata, Build tooling for normalization", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "Fintech; Regulated systems", "domainList" : [ "fintech", "regulated-systems" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated systems" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "Kubernetes" ], "problemSolvingSkills" : "Performance; Reliability; Failure modes", "specialRequirements" : "Startup environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "SENIOR DATA & PLATFORM ENGINEER \uD83D\uDCCD NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY ABOUT AVANTOS Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making. We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. THE ROLE We’re looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems. This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably. WHAT YOU’LL DO - Design and implement core backend systems and integrations that power the product. - Design and build our data platform (orchestration, pipelines, developer workflows) - Create scalable systems for data ingestion, transformation, and access - Design data models and APIs that won’t collapse under growth. - Make sane decisions about schemas, indexes, migrations, and performance. - Own infrastructure for data + AI workloads (containers, orchestration, cloud services) - Enable self-serve data workflows for engineering and product teams - Improve observability, reliability, and performance across the data stack - Support AI/ML systems (embeddings, vector data, model pipelines) - Build tooling for document processing, metadata, and normalization WHAT WE’RE LOOKING FOR - 7+ years in data engineering, platform engineering, or backend infrastructure - A track record of shipping and owning production systems. - Strong systems thinking (not just pipelines — platform mindset) - Backend system design and API design - Data modeling and relational databases - Performance, reliability, and failure modes - Proficiency in Golang, SQL, Terraform, AWS - Comfort in a fast-moving startup environment BONUS - LLMs / RAG, vector search, fintech or regulated systems - Have startup or early-stage experience. WHY JOIN - Build the foundation layer of an AI-native product - High ownership + direct impact - Work where data, platform, and AI converge THE FIT You’re someone who doesn’t just move data — you build the systems that make data usable at scale.", "summaryDescription" : "Senior Data and Platform Engineer at Avantos. Skills: Data platform, AI systems, Infrastructure. Design backend systems. Implement backend systems", "createdAt" : "2026-06-14T20:21:52.028", "lastUpdated" : "2026-06-16T01:43:36.688", "ingestTimestamp" : "2026-06-14T20:21:52.028", "mongoId" : "6a2cb0de74d8ee00a09db551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Platform engineering", "Backend infrastructure", "Data platform", "AI systems", "Infrastructure", "Backend system design", "API design", "Data modeling", "System design", "Fintech", "Regulated systems", "Terraform", "AWS", "Docker", "Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce9c452beec4dd3d79d468", "title" : "Director of Marketing and Communications", "company" : "SMU", "industry" : "Education", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Marketing and Communications in Dallas, TX, adjusted for the education industry and full-time employment." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "timestamp" : "2026-06-15T04:52:04.537", "fingerprint" : "b71d03616b6abf52bb8f2d0bb1d3f37910fe192ace6a4b0002655829f1369817", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=76012", "externalId" : "76012", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "Microsoft Office Suite, Adobe Creative Suite, Social media platforms", "professionalSkills" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Brand management", "Public relations", "Media relations", "Content generation", "Audience engagement", "Revenue goals", "Expense forecasting", "Strategic planning", "Time management", "Project management", "Interpersonal communication", "Verbal communication", "Written communication", "Customer service", "Relationship building", "Stakeholder management" ], "hardSkillsList" : [ "Budgeting", "Marketing campaigns", "Public relations", "Social media", "Content creation" ], "softSkillsList" : [ "Leadership", "Judgment" ], "hardSkills" : [ { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Marketing campaigns", "level" : "intermediate" }, { "name" : "Public relations", "level" : "intermediate" }, { "name" : "Social media", "level" : "intermediate" }, { "name" : "Content creation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" } ], "majorSkills" : "Marketing strategy, Communications strategy, Brand management, Public relations", "majorSkillsList" : [ "Marketing strategy", "Communications strategy", "Brand management", "Public relations" ], "coreResponsibilities" : "Lead marketing and communications strategy, Amplify museum mission, Manage conceptualization, development, implementation of campaigns, Increase visibility, Build reputation, Develop and execute brand management, Develop and execute communications, Develop and execute social media, Devise and implement strategies to promote museum, Engage SMU and North TX community, Supervise marketing and communication positions, Manage one direct report, Develop annual marketing and communications plan, Report progress against goals, Lead creative direction, Develop and produce marketing campaigns, Create excitement about museum, Develop annual public relations campaign, Oversee PR strategy and team, Align PR efforts with goals, Establish and maintain relationships with journalists, Oversee local and international PR associates, Manage press visits, Manage photocalls, Manage film requests, Manage website, Manage social media channels, Ensure graphic identity consistency, Ensure messages and imagery are positive, Generate social media content, Develop traditional campaigns, Develop unconventional campaigns, Attract visitors, members, donors", "teamCollaboration" : "Work with colleagues; Work with stakeholders; Present to Board members; Present to donors; Present to media contacts; Present to external partners; Present to civic leaders", "projectManagementSkills" : [ "Organizational skills", "Planning skills", "Time management skills", "Project management" ], "domainKnowledge" : "Spanish art; Museum exhibitions; Museum collection; Public programs; Educational initiatives", "domainList" : [ "spanish-art", "museum-exhibitions", "museum-collection", "public-programs", "educational-initiatives" ], "domainSpecificKnowledge" : [ "Spanish art", "Museum exhibitions", "Museum collection", "Public programs", "Educational initiatives" ], "toolProficiency" : [ "Facebook", "Instagram", "X", "Constant Contact", "Altru", "WordPress" ], "communicationSkills" : "Interpersonal communication; Verbal communication; Written communication; Presenting information", "continuousLearning" : "Professional development; Personal development; Tuition benefits", "innovationCreativity" : "Innovative social media storytelling", "problemSolvingSkills" : "Problem-solving skills; Identify problems; Analyze problems; Devise solutions", "outcomesObjectives" : "Achieve strategic audience goals; Achieve revenue goals; Meet deliverable deadlines", "qualificationsBasic" : "Annual marketing and communications plan, Develop marketing campaigns, Develop PR strategy, Manage social media channels, Manage freelance designer", "qualificationsPreferred" : "Familiarity with mass mailing applications, Familiarity with CRM applications, Familiarity with WordPress, Familiarity with HTML", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: The Meadows Museum houses one of the largest and most comprehensive collections of Spanish art, with works dating from the tenth to the twenty-first century. It includes masterpieces by some of the world’s greatest painters: El Greco, Velázquez, Ribera, Murillo, Goya, Miró, Dalí, and Picasso. Highlights of the collection include Renaissance altarpieces, monumental Baroque canvases, exquisite Rococo oil sketches, polychromed wood sculptures, impressionistic landscapes, modernist abstractions, a comprehensive collection of the graphic works of Goya, and a select group of sculptures by major twentieth-century masters—Rodin, Maillol, Giacometti, Moore, Smith, and Oldenburg. About the Position: This role is an on-campus, in-person position. The Director of Marketing and Communications (DMC) leads the museum’s overall marketing and communications strategy, amplifying the museum’s mission, reputation, and identity. This position will focus on the big picture of the museum’s brand by managing the conceptualization, development, and implementation of marketing and PR campaigns to increase visibility and build upon the museum’s international reputation. It is responsible for the development and execution of brand management, communications, and social media. Under the direction of the Deputy Director, this position will devise and implement strategies to promote the museum, its exhibitions, collection, public programs, and educational initiatives, as well as engage SMU and North TX community. The DMC supervises any positions/internships, employed or contracted, that are directly involved with museum marketing and communication. This position will manage one direct report. Essential Functions: Develop an annual marketing and communications plan and budget with strategic audience and revenue goals, and report progress against goals, expense forecasts, and the success of specific campaigns throughout the year. Lead the creative direction, development, and production of all marketing campaigns and collateral, meeting all deliverable deadlines. Create excitement about the Meadows Museum in our community through effective messaging, compelling campaigns, and innovative, engaging social media storytelling. Develop an annual public relations and media campaign, oversee and manage the entire PR strategy and team, make strategic decisions and align PR efforts with the Museum’s overall goals. Establish and maintain relationships with relevant journalists, influencers, and media outlets locally, nationally and internationally; oversee local and international PR associates, in addition to press visits, photocalls and film requests. Responsible for the website and all social media channels, and is the “owner” of the Meadows Museum brand, ensuring that our graphic identity is consistently employed and that our messages and imagery are positive, consistent, and effective across all channels. Social media is a critical component to the museum’s marketing strategy. The DMC’s scope of responsibility includes social media and appropriate content generation. Work with colleagues and stakeholders across disciplines to develop both traditional and unconventional campaigns as effective means of attracting visitors, members, and donors to the museum. Responsible for working with an outside freelance designer to create all interior and exterior signage, advertising, and all other paid media, as well as museum and exhibition collateral. Develop, review, secure approval for, and manage contractual or other agreements/ relationships with outside designers, web service providers, technical experts or other talents with whom we work on a contractual basis. Ensure that marketing and PR functions are integrated and aligned, using media across channels to maximum effectiveness within the museum and across campus. Partner with and advise Membership on direct mail, eblasts, and all associated member outreaches. Along with other Museum departments, the DMC will lead in community outreach and partnership efforts with fellow cultural institutions, civic entities, non-profits and corporate partners to amplify the museum’s role within the culture activity of DFW. Develop and implement performance metrics to evaluate the effectiveness of marketing campaigns and initiatives. Provide regular reporting to the Deputy Director on strategy outcomes, key performance indicators (KPIs), and return on investment (ROI). Monitor and manage the marketing budget, track expenditures, and recommend annual budget adjustments based on performance data and strategic goals. The DMC oversees and partners with the Museum Marketing Partner. Special projects and other duties as assigned. Occasional evening/weekend hours may be required to attend museum opening and events. Education and Experience: A Bachelor’s degree is required. A Master's degree in marketing, communications, advertising, public relations, business, is preferred. A minimum of five (5) years of work experience in social media, digital and print communications, advertising, or marketing is required. Previous experience supporting marketing initiatives in the arts is strongly preferred. A minimum of one (1) year supervisory experience is required. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills and a strong customer service orientation. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Organizational and planning skills, project management, and attention to detail are essential. Candidate should be able to communicate sensitively and effectively to diverse audiences, fostering goodwill among the museum's many members and guests and generating excitement about the museum’s activities. Candidate ability to exhibit and lead with good judgment is necessary. Candidate must be comfortable presenting information to Board members, donors, media contacts, external partners, and the university's social, business and civic leaders. Candidate must be proficient in Microsoft Office Suite, Adobe Creative Suite, and top social media platforms (Facebook, Instagram, and X). Familiarity with mass mailing applications (such as Constant Contact), WordPress, HTML, and CRM applications (such as Altru) is a plus. Candidate ability to speak Spanish is highly preferred. Physical and Environmental Demands: Sit for long periods of time Bend, crawl, stand Reach above shoulders Carry/lift 25 lbs. Deadline to Apply: Priority consideration may be given to submissions received by April 24, 2026 Application deadline is May 15, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Marketing and Communications at SMU. Skills: Marketing strategy, Communications strategy, Brand management, Public relations. Lead marketing and communications strategy. Amplify museum mission", "createdAt" : "2026-06-14T00:43:45.538", "lastUpdated" : "2026-06-15T04:52:04.537", "ingestTimestamp" : "2026-06-14T00:43:45.538", "mongoId" : "69ce9c452beec4dd3d79d468", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Budgeting", "Marketing campaigns", "Public relations", "Social media", "Content creation", "Leadership", "Judgment", "Marketing strategy", "Communications strategy", "Brand management", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Media relations", "Content generation", "Audience engagement", "Revenue goals", "Expense forecasting", "Strategic planning", "Time management", "Project management", "Interpersonal communication", "Verbal communication", "Written communication", "Customer service", "Relationship building", "Stakeholder management", "Organizational skills", "Planning skills", "Time management skills", "Spanish art", "Museum exhibitions", "Museum collection", "Public programs", "Educational initiatives", "Facebook", "Instagram", "X", "Constant Contact", "Altru", "WordPress" ], "skillCount" : 42, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8274d8ee00a0975b19", "title" : "AVP, Sports And Talent Marketing", "industry" : "Marketing", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a VP-level executive in the technology industry in Boston, adjusted for company size and specific role responsibilities." }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T03:45:33.787", "fingerprint" : "4869a0a112766d7331483477c6654b98090e280021a91ce37aaf237f94c9cc61", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/ffdcb902-057b-4890-9318-b01915e56422/application", "externalId" : "ffdcb902-057b-4890-9318-b01915e56422", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Partnerships", "Business development", "Brand activation", "Experiential marketing", "Sponsorships", "Ecosystem building", "Portfolio strategy", "Investment decisions", "Partnership negotiation", "Roster strategy", "Creator management", "Brand programs", "Cross-functional planning", "External relationship management", "Measurement agenda", "Performance reviews", "Decision-making frameworks", "Team leadership", "Strategic thinking", "Executional excellence", "Organizational capability scaling" ], "hardSkillsList" : [ "Partnership negotiation", "Financial modeling", "Brand activation", "Experiential marketing", "Sponsorships" ], "softSkillsList" : [ "Leadership", "Judgment", "Influence" ], "hardSkills" : [ { "name" : "Partnership negotiation", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Brand activation", "level" : "intermediate" }, { "name" : "Experiential marketing", "level" : "intermediate" }, { "name" : "Sponsorships", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Judgment" }, { "name" : "Influence" } ], "majorSkills" : "Partnerships strategy, Talent marketing, Brand awareness, Cultural relevance", "majorSkillsList" : [ "Partnerships strategy", "Talent marketing", "Brand awareness", "Cultural relevance" ], "coreResponsibilities" : "Set vision and strategy for partnerships, Build high-impact ecosystem of partners, Own partnership portfolio strategy, Make investment decisions, Lead sourcing of partnerships, Evaluate partnership opportunities, Structure partnership opportunities, Negotiate partnership opportunities, Establish roster strategy, Evolve roster strategy, Lead Creator remit, Develop creator programs, Develop creator partnerships, Develop creator moments, Translate partnership agreements, Lead cross-functional planning, Lead cross-functional execution, Lead senior external relationships, Represent WHOOP with credibility, Define measurement agenda, Lead measurement agenda, Establish success metrics, Establish performance reviews, Establish decision-making frameworks, Build high-performing partnerships team, Lead high-performing partnerships team, Develop high-performing partnerships team, Set high bar for strategic thinking, Set high bar for executional excellence, Set high bar for collaboration, Set high bar for accountability", "teamCollaboration" : "Cross-functional planning; Cross-functional execution; Brand; Creative; Social; Communications; Product Marketing; Sales; Membership; Agents; Talent; League offices; Team executives; Creators; Production partners", "projectManagementSkills" : [ "Cross-functional planning", "Cross-functional execution" ], "domainKnowledge" : "Sports landscape; Talent landscape; Media landscape; Culture landscape; Consumer brands; Lifestyle brands; Partnerships; Business development; Brand activation; Experiential marketing; Sponsorships", "domainList" : [ "sports-landscape", "talent-landscape", "media-landscape", "culture-landscape", "consumer-brands", "lifestyle-brands", "partnerships", "business-development", "brand-activation", "experiential-marketing", "sponsorships" ], "domainSpecificKnowledge" : [ "Sports landscape", "Talent landscape", "Media landscape", "Culture landscape", "Consumer brands", "Lifestyle brands", "Partnerships", "Business development", "Brand activation", "Experiential marketing", "Sponsorships" ], "communicationSkills" : "External relationship management", "problemSolvingSkills" : "Strategic thinking; Judgment", "outcomesObjectives" : "Drive brand awareness; Drive cultural relevance; Drive long-term strategic value; Elevate WHOOP brand; Expand WHOOP cultural presence; Deepen brand connection; Ensure investment is managed; Ensure investment is evaluated; Optimize for brand impact; Optimize for cultural relevance; Optimize for strategic return", "qualificationsBasic" : "15 years relevant experience, Significant experience premium consumer brands, Significant experience sports brands, Significant experience media brands, Significant experience entertainment brands, Significant experience lifestyle brands, Shaped major partnerships, Negotiated major partnerships, Led major partnerships, Deep understanding sports landscape, Deep understanding culture landscape, Deep understanding media landscape, Deep understanding talent landscape, Built high-performing teams, Led high-performing teams, Managed complex external relationships", "qualificationsPreferred" : "AI tools in day-to-day tasks", "rawDescription" : "Responsibilities: - - Set the vision and strategy for WHOOP’s partnerships function, building a high-impact ecosystem of partners across sports, talent, organizations, teams, leagues, creators, ambassadors, and experiential. - Own partnership portfolio strategy and investment decisions, ensuring WHOOP is partnering with the right people, properties, and platforms to drive brand awareness, cultural relevance, and long-term strategic value. - Lead the sourcing, evaluation, structuring, and negotiation of major partnership opportunities, applying strong judgment to prioritize opportunities that elevate the WHOOP brand. - Establish and evolve WHOOP’s roster strategy across elite athletes, sports organizations, creators, and cultural talent in close collaboration with Brand, ensuring alignment to brand positioning, audience priorities, and business goals. - Lead the Creator remit, including experiential, to develop programs, partnerships, and in-market moments that expand WHOOP’s cultural presence and deepen brand connection with key audiences. - Translate partnership agreements into exceptional brand programs by leading cross-functional planning and execution across Brand, Creative, Social, Communications, Product Marketing, Sales, Membership, and other teams as needed. - Lead senior external relationships with professionalism and influence, representing WHOOP with credibility across agents, talent, league offices, team executives, creators, production partners, and other key stakeholders. - Define and lead a clear measurement agenda across the partnerships portfolio, establishing success metrics, performance reviews, and decision-making frameworks that ensure every investment is actively managed, rigorously evaluated, and optimized for brand impact, cultural relevance, and strategic return. - Build, lead, and develop a high-performing partnerships team, setting a high bar for strategic thinking, executional excellence, collaboration, and accountability. Qualifications: - - 15 years of relevant experience across partnerships, business development, talent, brand activation, experiential, sponsorships, or related fields, with significant experience in premium consumer, sports, media, entertainment, or lifestyle brands. - Proven track record of shaping, negotiating, and leading major partnerships that have delivered meaningful brand impact and strategic value. - Deep understanding of the sports, culture, media, and talent landscape, with strong instincts for where brands can credibly and distinctively show up. - Demonstrated success building and leading high-performing teams, with the ability to attract strong talent, develop leaders, and scale organizational capability. - Experience managing complex external relationships at a senior level, including athletes, agents, creators, executives, league and team stakeholders, and production or agency partners. - Strong ability to translate partnership opportunities into integrated brand programs that are creatively strong, operationally excellent, and commercially sound. - Excellent judgment in balancing brand ambition, relationship value, business priorities, and return on investment. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.", "summaryDescription" : "AVP, Sports And Talent Marketing. Skills: Partnerships strategy, Talent marketing, Brand awareness, Cultural relevance. Set vision and strategy for partnerships. Build high-impact ecosystem of partners", "createdAt" : "2026-06-13T21:41:30.488", "lastUpdated" : "2026-06-15T03:45:33.787", "ingestTimestamp" : "2026-06-13T21:41:30.488", "mongoId" : "6a2c8c8274d8ee00a0975b19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Partnership negotiation", "Financial modeling", "Brand activation", "Experiential marketing", "Sponsorships", "Leadership", "Judgment", "Influence", "Partnerships strategy", "Talent marketing", "Brand awareness", "Cultural relevance", "Partnerships", "Business development", "Ecosystem building", "Portfolio strategy", "Investment decisions", "Roster strategy", "Creator management", "Brand programs", "Cross-functional planning", "External relationship management", "Measurement agenda", "Performance reviews", "Decision-making frameworks", "Team leadership", "Strategic thinking", "Executional excellence", "Organizational capability scaling", "Cross-functional execution", "Sports landscape", "Talent landscape", "Media landscape", "Culture landscape", "Consumer brands", "Lifestyle brands" ], "skillCount" : 36, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "VP", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a08c", "title" : "Utility Data and Modeling Analyst", "company" : "HDR", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, Saint Louis Park city tier, and the engineering/consulting industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:46:45.498", "fingerprint" : "750234fde7fa9a6099369120843b7d86c965903252b6816af102bf9bdbb7676d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779912", "externalId" : "779912", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Power Query, Pandas, Python, R, Plotly, Seaborn, Matplotlib", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data science", "Organizational skills" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling", "majorSkillsList" : [ "Data analysis", "Data modeling" ], "coreResponsibilities" : "Handle confidential information, Prioritize and handle multiple tasks, Manage various managers", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Utility data", "domainList" : [ "utility-data" ], "domainSpecificKnowledge" : [ "Utility data" ], "toolProficiency" : [ "MS Office", "Power BI", "Tableau" ], "communicationSkills" : "Grammar; Punctuation; Proofreading; Spelling; Telephone skills", "qualificationsBasic" : "Degree in closely related field or education/experience combination, Proficiency with MS Office, Proficiency with data engineering tools and languages, Proficiency with business intelligence tools, Proficiency with data science languages, Ability to handle confidential information, Excellent writing and people skills, Math and organizational skills, Flexibility and ability to prioritize, Handle multiple tasks and various managers, Excellent verbal and written communication skills, Commitment to being an active participant of employee-owned culture", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications A degree in a closely related field or combination of education and relevant experience Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib Proficiency with data science languages such as Python and R Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "Utility Data and Modeling Analyst at HDR. Skills: Data analysis, Data modeling. Handle confidential information. Prioritize and handle multiple tasks", "createdAt" : "2026-06-14T21:31:19.547", "lastUpdated" : "2026-06-16T02:46:45.498", "ingestTimestamp" : "2026-06-14T21:31:19.547", "mongoId" : "6a16291c58b93c861e95a08c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data analysis", "Data engineering", "Business intelligence", "Data science", "Organizational skills", "Utility data", "MS Office", "Power BI", "Tableau" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a2b035374d8ee00a074f224", "title" : "Sign Language Interpreting Specialist", "company" : "Eastern NC School for the Deaf", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Education industry in Wilson County, NC, adjusted for 2+ years of experience." }, "location" : "Wilson County, NC", "locations" : [ "Wilson County, NC", "United States of America" ], "certifications" : [ "Licensed as determined by the North Carolina Interpreter and Transliterator Licensing Board" ], "timestamp" : "2026-06-14T18:39:11.921", "fingerprint" : "73f64357fe7dbc509bb9e8ac575ad75827d60afe42103ab81151f0573dd5a3af", "source" : "workday", "language" : "en", "applyUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wilson-County-NC/Sign-Language-Interpreting-Specialist_JR-117779", "externalId" : "JR-117779", "locationPoint" : "-32.02058,115.91181", "structuredLocations" : [ { "state" : "North Carolina", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "North Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "professionalSkills" : [ "Interpreting services" ], "hardSkillsList" : [ "Sign language interpreting" ], "hardSkills" : [ { "name" : "Sign language interpreting", "level" : "intermediate" } ], "majorSkills" : "Sign language interpreting, Interpreter supervision", "majorSkillsList" : [ "Sign language interpreting", "Interpreter supervision" ], "coreResponsibilities" : "Supervise Interpreters of the Deaf, Supervise Foreign Language Specialist, Supervise contract interpreting staff, Coordinate interpreter services on campus, Coordinate interpreter services off campus, Provide direct interpreting services, Monitor quality of interpreter services, Work with agencies to set up procedures, Coordinate sign language training, Provide sign language training, Interpret for school meetings, Interpret in classroom for students, Coordinate and schedule interpreters, Contact freelance interpreting services, Supervise Staff Development Specialist, Evaluate Staff Development Specialist, Train employees in sign language", "teamCollaboration" : "School personnel; Students; Parents; External participants; Deaf Administrators; Dept. Heads; Staff Development Specialist; Outside persons/agencies", "qualificationsBasic" : "Two years of professional interpreting experience, Licensed by NC Interpreter and Transliterator Licensing Board", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Agency** Eastern NC School for the Deaf **Division** Eastern NC School for the Deaf **Job Classification Title** Sign Language Interpreting Specialist (S) **Position Number** 60039136 **Grade** NC15 **About Us** North Carolina State Government is one of the state’s largest employers, with over 76,000 employees all working toward a common goal: a safer and stronger North Carolina. We are a large organization comprised of various agencies, offices, and universities, each providing important public services. Eligible state employees are entitled to comprehensive benefits, including a variety of leave options, professional development opportunities, insurance, and more. To learn more about the benefits of being a North Carolina state employee, visit the N.C. Office of State Human Resources' [__website__](https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Foshr.nc.gov%2Fstate-employee-resources%2Fbenefits&data=05%7C02%7Ckristin.siemek%40nc.gov%7C37d5e8e54d214e705d7208dd949882a0%7C7a7681dcb9d0449a85c3ecc26cd7ed19%7C0%7C0%7C638830104942848039%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=qbhXPQ%2FR5bst79enCZpATmcTDvhjy4xgIIsAtsD5Yc8%3D&reserved=0). Permanent, temporary, and time-limited state government jobs can be found from the mountains to the coast. Find your next opportunity today! **Description of Work** This position supervises Interpreters of the Deaf, the Foreign Language Specialist as well as the contract interpreting staff. Work involves coordinating interpreter services on and off campus and be responsible for interpreting contract services. Provide direct interpreting services in more difficult situations as needed. Monitor the quality of interpreter services and work with agencies to set up procedures for utilizing interpreters. Adhere to the Code of Ethics of the National Registry For The Interpreters for the Council for the Hearing Impaired. Coordinate and provide sign language training as needed. **Knowledge Skills and Abilities/Management Preferences** *60% Interpret for school meetings which include school personnel, students, parents, and/or other external participants to ensure access to information. Meetings may include but are not limited to IEP meetings, student staffing, Mental Health meetings, staff development meetings on and off campus with DPI and other outside persons/agencies, phone conversations, etc. Provide services to Deaf Administrators, and Dept. Heads as needed on a daily basis. *15% Interpret in the classroom for mainstreamed students. *15% Coordinating and scheduling the interpreters for various assignments. If needed, contact the free-lance interpreting services to cover the interpreting needs that the school interpreting services could not meet due to conflict of scheduling or prior commitment to interpreters’ basic assignments. *10% Serve as a resource to the Staff Development Specialist and 2 Sign Language Interpreters by supervising and evaluating, or any combination thereof the teaching responsibilities of the Staff Development Specialist to employees who do not have knowledge of sign language. **Minimum Education and Experience** Some state job postings say you can qualify by an “equivalent combination of education and experience.” If that language appears below, then you may qualify through EITHER years of education OR years of directly related experience, OR a combination of both. See the Education and Experience Equivalency Guide for details. Bachelor’s degree in an interpreter training program from an appropriately accredited institution and two years of professional interpreting experience in a community, business, or government program; or an equivalent combination of education and experience. Necessary Special Qualification If applicable as defined by GS 90D, meets the requirements for licensure as determined by the North Carolina Interpreter and Transliterator Licensing Board. **EEO Statement** The State of North Carolina is an Equal Employment Opportunity Employer and dedicated to providing employees with a work environment free from all forms of unlawful employment discrimination, harassment, or retaliation. The state provides reasonable accommodation to employees and applicants with disabilities; known limitations related to pregnancy, childbirth, or related medical conditions; and for religious beliefs, observances, and practices. **Recruiter:** Simone Nichelle Leigh **Recruiter Email:** SIMONE.LEIGH@ENCSD.K12.NC.US", "summaryDescription" : "Sign Language Interpreting Specialist at Eastern NC School for the Deaf. Skills: Sign language interpreting, Interpreter supervision. Supervise Interpreters of the Deaf. Supervise Foreign Language Specialist", "postedDate" : "2026-06-11T02:35:44.392", "createdAt" : "2026-06-12T02:35:42.514", "lastUpdated" : "2026-06-14T18:39:11.921", "ingestTimestamp" : "2026-06-12T02:35:42.514", "mongoId" : "6a2b035374d8ee00a074f224", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nc.wd108.myworkdayjobs.com/NC_Careers/job/Wilson-County-NC/Sign-Language-Interpreting-Specialist_JR-117779", "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Sign language interpreting", "Interpreter supervision", "Interpreting services", "Licensed as determined by the North Carolina Interpreter and Transliterator Licensing Board" ], "skillCount" : 4, "jobCategory" : "other", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "69ce5e3b9bc74574cb677aec", "title" : "T6_Chief Data and AI Architect", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Chief Data and AI Architect in Bangalore, India, adjusted for industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning" ], "timestamp" : "2026-06-15T10:23:16.352", "fingerprint" : "370e2b00770dd492a2575292193f9eb76fd8365da30dfb9faa3fab6b2d172cdd", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877618", "externalId" : "877618", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Architecture, Data Engineering, AI, ML, Spark, Dbt, Kafka, Databricks, Synapse, Snowflake, APIs, Python, R, Scala, TensorFlow, PyTorch, Azure ML, SageMaker, Delta Lake, AWS, GCP, Azure", "professionalSkills" : [ "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence" ], "hardSkillsList" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Model lifecycle management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Data Architecture, AI, ML, Data Engineering", "majorSkillsList" : [ "Data Architecture", "AI", "ML", "Data Engineering" ], "coreResponsibilities" : "Design scalable data architectures, Oversee data ingestion, Oversee data integration, Oversee data transformation, Define metadata best practices, Define data lineage best practices, Define data quality best practices, Lead data model development, Lead data pipeline development, Lead data transformation development, Enable self-serve analytics, Identify AI/ML use cases, Evaluate AI/ML use cases, Design AI solutions, Build AI pipelines, Build ML pipelines, Promote responsible AI, Define AI governance frameworks, Implement AI governance frameworks, Establish model policies, Act as thought leader, Inspire cross-functional teams, Mentor cross-functional teams, Facilitate knowledge sharing, Promote technical excellence, Promote curiosity", "teamCollaboration" : "Cross-functional teams; DevOps teams; Cloud teams; BI teams; Analytics teams; Data Scientists; MLOps engineers; Product owners", "domainKnowledge" : "Data lakehouse; Streaming data; Unstructured data; Structured data; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Responsible AI; Ethical AI; Model interpretability; GenAI", "domainList" : [ "data-lakehouse", "streaming-data", "unstructured-data", "structured-data", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "responsible-ai", "ethical-ai", "model-interpretability", "genai" ], "domainSpecificKnowledge" : [ "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI" ], "toolProficiency" : [ "Dbt Cloud", "Fivetran", "Airflow" ], "communicationSkills" : "Stakeholder communication; Technical concepts communication", "innovationCreativity" : "Innovation", "qualificationsBasic" : "Bachelor's or Master's degree, 10+ years experience, Cloud data platforms experience, AI/ML frameworks knowledge, Governance frameworks experience, Data privacy experience, MLOps experience, Excellent communication skills, Stakeholder management skills, Lead technical teams ability", "qualificationsPreferred" : "AI / GenAI usecase delivery experience, Model interpretability experience, Regulatory compliance experience, Enterprise data modernization experience, AI transformation programs experience, Cloud data architecture certifications, AI certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. We are seeking a visionary Data and AI Chief Architect to lead the design, development, and governance of department wide data and AI solutions. This role requires a balance of deep technical expertise, architectural vision, and the ability to inspire cross-functional teams toward a unified data and AI strategy. As a key member of the architecture and innovation team, you will shape how data is collected, transformed, and leveraged across the organization — enabling scalable data engineering pipelines, responsible AI adoption, and the delivery of intelligent business outcomes. Key Responsibilities 1. Data Architecture & Engineering Design and implement modern, scalable data architectures (data lakehouse, streaming, APIs, etc.) to support analytics and AI workloads. Oversee data ingestion, integration, and transformation processes across structured and unstructured sources. Partner with DevOps and Cloud teams to ensure data platforms meet enterprise performance, security, and compliance standards. Define best practices for metadata management, data lineage, and data quality frameworks. 2. Data Transformation & Analytics Enablement Lead the development of robust data models, pipelines, and transformations using modern tools (e.g., Spark, dbt, Kafka, Databricks, Synapse, Snowflake, etc.). Collaborate with BI and analytics teams to ensure data is clean, contextual, and analytics-ready. Enable business units to self-serve and innovate through governed data products and APIs. 3. AI Use Case Discovery & Delivery Partner with business stakeholders to identify and evaluate high-impact AI/ML use cases. Provide technical leadership in designing AI solutions — from proof of concept to production deployment. Collaborate with Data Scientists and MLOps engineers to build scalable AI and machine learning pipelines. Promote responsible AI practices ensuring transparency, fairness, and explainability in all AI initiatives. 4. AI Governance & Strategy Define and implement frameworks for AI governance, including ethical AI guidelines, model lifecycle management, and compliance. Establish policies for model versioning, monitoring, and risk assessment. Act as a thought leader on AI maturity and innovation across the organization. 5. Cross-Functional Leadership & Inspiration Inspire and mentor cross-functional teams — including engineers, analysts, and product owners — toward data-driven and AI-powered ways of working. Facilitate knowledge sharing and promote a culture of technical excellence and curiosity. Communicate complex technical concepts to non-technical stakeholders effectively. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related field. 10+ years of experience in data architecture, data engineering, or AI/ML solution design. Proven experience with cloud data platforms (Azure, AWS, or GCP) and modern data stack tools. Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker, etc.). Experience with governance frameworks, data privacy, and MLOps. Excellent communication and stakeholder management skills. Demonstrated ability to lead and inspire technical teams. Preferred Qualifications Experience in AI / GenAI usecase delivery , model interpretability, and regulatory compliance. Prior experience leading enterprise data modernization or AI transformation programs. Certifications in cloud data architecture or AI (e.g., Azure Data Engineer/Architect, AWS Certified Machine Learning). Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "T6_Chief Data and AI Architect at MBRDI. Skills: Data Architecture, AI, ML, Data Engineering. Design scalable data architectures. Oversee data ingestion", "createdAt" : "2026-06-14T08:27:53.793", "lastUpdated" : "2026-06-15T10:23:16.352", "ingestTimestamp" : "2026-06-14T08:27:53.793", "mongoId" : "69ce5e3b9bc74574cb677aec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment", "Data Architecture", "AI", "ML", "Data Engineering", "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence", "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI", "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning", "Dbt Cloud", "Fivetran", "Airflow" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0ab0721663d49372dc3d78", "title" : "Summer Intern – Marketing and Communications", "company" : "FS-ISAC", "industry" : "Cybersecurity", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for entry-level marketing and communications internships in the United States, adjusted for the financial services industry and the Reston, Virginia location." }, "location" : "Reston, VA", "locations" : [ "Reston", "VA" ], "timestamp" : "2026-06-15T09:47:20.706", "fingerprint" : "92e3c62137cb6b3843c74c2d51799eb236a276e9c4766afd9ed2e0cc8f1e58d3", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://fs-isac.breezy.hr/p/8efd0cffbae4-summer-intern-marketing-and-communications", "externalId" : "8efd0cffbae4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reston", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9532820,-77.3464516" } ], "locationText" : "Reston, Virginia, United States", "employmentType" : "TEMPORARY", "coreResponsibilities" : "Develop marketing strategies, Acquire customers, Manage campaigns, Track growth metrics", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Summer Intern – Marketing and Communications at FS-ISAC. Develop marketing strategies. Acquire customers", "createdAt" : "2026-06-14T06:10:40.089", "lastUpdated" : "2026-06-15T09:47:20.706", "ingestTimestamp" : "2026-06-14T06:10:40.089", "mongoId" : "6a0ab0721663d49372dc3d78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf26122beec4dd3d90b466", "title" : "Nursing Clinical Educator - VICU and MICU", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 78000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Nursing Clinical Educator in Tampa, adjusted for the healthcare industry and a large hospital setting." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "Certification in specialty approved for ANCC Magnet requirement" ], "timestamp" : "2026-06-15T09:21:28.821", "fingerprint" : "43d9cb67976018be8b65b2857df2ad3533e7ef32319abec54237ff2402d81e16", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=676428", "externalId" : "676428", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Adult learning principles", "Human performance improvement", "Preceptor development", "Bedside re-education", "Student activities facilitation", "Clinical ladder activities", "Subject matter expert", "Nursing care delivery", "Independent judgment", "Advanced clinical skills", "Nursing assessments", "Patient rights assurance" ], "hardSkillsList" : [ "Evidence-based practice", "Competency based orientation", "Mandatory education", "New policy creation", "New product implementation", "Unit based initiatives", "Organization-wide initiatives", "Faculty liaison", "National certification promotion", "Educational initiative evaluation", "Course registration", "Course scheduling", "Nursing standards", "Nursing procedures", "Nursing policies" ], "hardSkills" : [ { "name" : "Evidence-based practice", "level" : "intermediate" }, { "name" : "Competency based orientation", "level" : "intermediate" }, { "name" : "Mandatory education", "level" : "intermediate" }, { "name" : "New policy creation", "level" : "intermediate" }, { "name" : "New product implementation", "level" : "intermediate" }, { "name" : "Unit based initiatives", "level" : "intermediate" }, { "name" : "Organization-wide initiatives", "level" : "intermediate" }, { "name" : "Faculty liaison", "level" : "intermediate" }, { "name" : "National certification promotion", "level" : "intermediate" }, { "name" : "Educational initiative evaluation", "level" : "intermediate" }, { "name" : "Course registration", "level" : "intermediate" }, { "name" : "Course scheduling", "level" : "intermediate" }, { "name" : "Nursing standards", "level" : "intermediate" }, { "name" : "Nursing procedures", "level" : "intermediate" }, { "name" : "Nursing policies", "level" : "intermediate" } ], "majorSkills" : "Clinical education, Nursing care, Organizational change", "majorSkillsList" : [ "Clinical education", "Nursing care", "Organizational change" ], "coreResponsibilities" : "Design education projects, Plan education projects, Manage education projects, Align education goals, Design learning, Deliver education, Deliver training, Measure education impact, Evaluate education impact, Contribute to human performance improvement, Coordinate unit-orientation, Select preceptors, Assess orientees, Facilitate competency based orientation, Facilitate unit competencies, Facilitate department competencies, Facilitate preceptor development, Support mandatory education, Create new policies, Implement new products, Support unit initiatives, Support organization-wide initiatives, Provide bedside re-education, Facilitate student activities, Serve as faculty liaison, Assist with clinical ladder activities, Promote national certification, Serve as subject matter expert, Represent assigned departments, Evaluate educational effectiveness, Register for courses, Schedule courses, Post to forums, Collaborate with manager, Ensure regulatory readiness, Deliver nursing care, Exercise independent judgment, Implement nursing care, Document nursing assessments, Identify situations requiring intervention, Report situations requiring intervention, Formulate goals, Communicate goals, Formulate plan of care, Communicate plan of care, Assure patient's rights", "teamCollaboration" : "Collaborates with manager; Interaction with patients; Interaction with team members; Interaction with physicians; Interaction with family members; Interaction with visitors", "projectManagementSkills" : [ "Education projects" ], "domainKnowledge" : "VICU; MICU; Nursing standards; Nursing procedures; Nursing policies; Adult learning principles; Evidence-based practice; Blood borne pathogens", "domainList" : [ "vicu", "micu", "nursing-standards", "nursing-procedures", "nursing-policies", "adult-learning-principles", "evidence-based-practice", "blood-borne-pathogens" ], "domainSpecificKnowledge" : [ "VICU", "MICU", "Nursing standards", "Nursing procedures", "Nursing policies", "Adult learning principles", "Evidence-based practice", "Blood borne pathogens" ], "toolProficiency" : [ "Microsoft Office", "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "communicationSkills" : "Read; Write; Speak English clearly", "documentationSkills" : "Nursing documents; Nursing assessments", "problemSolvingSkills" : "Independent judgment; Identify situations requiring intervention", "specialRequirements" : "Minimum 8 hours nursing care per month, Exposure to blood, Infectious body fluids", "outcomesObjectives" : "Align education goals with business needs; Align education goals with identified strategies", "qualificationsBasic" : "Bachelor's in Nursing, Registered Nurse license, 3 years related experience", "qualificationsPreferred" : "MSN or Certification in specialty, Microsoft Access knowledge, Microsoft Project knowledge, Microsoft Publisher knowledge, Microsoft Front Page knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision of the Department Manager, and according to established policies and procedures, the Clinical Nurse Educator designs, plans, and manages education projects. Follows established policies, procedures, professional guidelines, adult learning principles, and evidence-based practice to align education goals with business needs and identified strategies of Tampa General Hospital. Responsible for performing job duties in accordance with mission, vision and values of Tampa General Hospital Education Duties: Designs learning and delivers education/training, to facilitate organizational change. Measures and evaluates impact of education and contributes to the improvement of human performance. Duties may include coordination of unit-orientation through preceptor selection and participating in orientee assessments. Facilitates completion of competency based orientation tools and unit/department level competencies as needed/required. Facilitates preceptor development and supports completion of mandatory education initiatives such as creating new policies, implementation of new products, and other unit based/organization-wide initiatives. Provides bedside re-education as needed. Facilitates student activities on the unit and serves as liaison to faculty for unit based training. Assists with clinical ladder activities (if applicable to department) and promotion of national certification. Serves as subject matter expert as need to represent assigned departments/areas of coverage. Evaluates effectiveness of educational initiatives on an ongoing basis. Responsible for registration and course scheduling and posting to appropriate forum. Collaborates with the unit/department manager. Ensures regulatory readiness. Clinical Duties: According to established nursing standards, policies, procedures and professional guidelines, delivers nursing care to patients a minimum of eight (8) hours per month. Exercises independent judgment and advanced clinical skills. Plans and implements nursing care; documents nursing assessments, identifies and reports situations requiring intervention, formulates and communicates goals and directed plan of care; assures patient’s rights. QUALIFICATIONS Graduate of an accredited School of Nursing and Bachelors in Nursing (BSN) required. Licensure to practice as a Registered Nurse in the State of Florida and three years related work experience required. MSN or Certification in specialty approved for the ANCC Magnet requirement. Ability to read, write and speak English clearly and distinctly. Knowledge of Microsoft Office applications including Word, Excel, and PowerPoint required. Knowledge of Microsoft Access, Project, Publisher, and Front Page desired. WORKING CONDITIONS Work is primarily performed in classroom and/or patient settings. Interaction with patients, team members, physicians, family members and visitors. Lifting, bending, stooping and exposure to bodily fluids is involved This position has been evaluated as a Level 1 in accordance with the Occupational Safety and Health Administration (OSHA) definition of occupational exposure to blood borne pathogens. Level I Positions in this category require the performance of tasks which involve exposure to blood and potentially infectious body fluids. Tampa", "summaryDescription" : "Nursing Clinical Educator - VICU and MICU at Tampa General Hospital. Skills: Clinical education, Nursing care, Organizational change. Design education projects. Plan education projects", "createdAt" : "2026-06-14T04:40:43.146", "lastUpdated" : "2026-06-15T09:21:28.821", "ingestTimestamp" : "2026-06-14T04:40:43.146", "mongoId" : "69cf26122beec4dd3d90b466", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Evidence-based practice", "Competency based orientation", "Mandatory education", "New policy creation", "New product implementation", "Unit based initiatives", "Organization-wide initiatives", "Faculty liaison", "National certification promotion", "Educational initiative evaluation", "Course registration", "Course scheduling", "Nursing standards", "Nursing procedures", "Nursing policies", "Clinical education", "Nursing care", "Organizational change", "Adult learning principles", "Human performance improvement", "Preceptor development", "Bedside re-education", "Student activities facilitation", "Clinical ladder activities", "Subject matter expert", "Nursing care delivery", "Independent judgment", "Advanced clinical skills", "Nursing assessments", "Patient rights assurance", "Education projects", "VICU", "MICU", "Blood borne pathogens", "Certification in specialty approved for ANCC Magnet requirement", "Microsoft Office", "Microsoft Word", "Microsoft Excel", "Microsoft PowerPoint" ], "skillCount" : 39, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb2f174d8ee00a09e3225", "title" : "Director, Customer and Growth Product Marketing", "company" : "Glean", "industry" : "SaaS", "salary" : { "min" : 220000.0, "max" : 320000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Customer and Growth Product Marketing in Mountain View, United States, adjusted for SaaS industry and company size." }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T23:01:19.902", "fingerprint" : "1abed4451df59ccaa2829cbad887dbe34f53ae9344ee2c077bda37e1cd018a53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gleanwork/jobs/4705577005", "externalId" : "4705577005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Director", "professionalSkills" : [ "Customer marketing", "Lifecycle growth marketing", "Revenue marketing", "Segmentation", "Testing", "Automation", "Multi-touch journeys" ], "hardSkillsList" : [ "Behavioral data analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Behavioral data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Customer marketing, Lifecycle marketing, Growth marketing", "majorSkillsList" : [ "Customer marketing", "Lifecycle marketing", "Growth marketing" ], "coreResponsibilities" : "Own post-sale marketing strategy, Design segmented lifecycle campaigns, Accelerate time-to-value, Increase adoption of workflows, Improve retention, Partner with Customer Success and Sales, Develop upsell, cross-sell, expansion campaigns, Use experimentation and behavioral data, Optimize onboarding, adoption, growth, Leverage AI for speed and scale, Serve as cross-functional lead, Define measurement, Improve lifecycle strategy, Scale repeatable programs, Build and mentor AI native team, Execute programs directly", "teamCollaboration" : "Partnering with Product; Partnering with Marketing; Partnering with Sales; Partnering with Customer Success; Partnering with RevOps", "domainKnowledge" : "Work AI; Enterprise search; AI Assistant; AI agents; Enterprise Graph; Personal Knowledge Graph; Agentic capabilities; Agentic AI", "domainList" : [ "work-ai", "enterprise-search", "ai-assistant", "ai-agents", "enterprise-graph", "personal-knowledge-graph", "agentic-capabilities", "agentic-ai" ], "domainSpecificKnowledge" : [ "Work AI", "Enterprise search", "AI Assistant", "AI agents", "Enterprise Graph", "Personal Knowledge Graph", "Agentic capabilities", "Agentic AI" ], "communicationSkills" : "Executive-ready insights", "continuousLearning" : "Annual education stipend", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "4 days a week in office", "outcomesObjectives" : "Drive adoption, retention, expansion; Impact product usage; Impact renewals; Impact NRR; Impact expansion pipeline", "qualificationsBasic" : "8+ years B2B SaaS marketing experience, Proven success driving adoption, retention, expansion, AI fluent, Deep expertise customer and lifecycle marketing, Analytical, written, communication skills", "qualificationsPreferred" : "Experience with AI tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a Director, Growth Product Marketing to lead how we engage, grow, and retain customers after the initial sale. In this role, you will combine customer marketing and lifecycle growth marketing to turn our install base into a durable engine for activation, adoption and expansion across our customer base. You will design the systems, programs, and operating rhythm that make the post-sale journey more systematic, measurable, and scalable as Glean grows. You will: Own the end-to-end post-sale marketing strategy across onboarding, activation, adoption, renewal and expansion with clear lifecycle stages, goals, and success metrics. Design and implement segmented lifecycle campaigns across email, in-product, and other channels to accelerate time-to-value, increase adoption of priority workflows, and improve retention. Partner closely with Customer Success and Sales on signal-based programs for at-risk accounts, renewal readiness, win-back, and expansion opportunities. Develop upsell, cross-sell, and expansion campaigns aligned to sales plays and account plans, using experimentation and behavioral data to optimize onboarding, adoption, and growth, and leveraging AI to build speed and scale into the process. Serve as the cross-functional lead for post-sale marketing, partnering with Product, Marketing, Sales, Customer Success, and RevOps to define measurement, improve lifecycle strategy, and scale repeatable programs. Build and mentor a small AI native team focused on customer marketing and lifecycle growth, while remaining comfortable rolling up your sleeves to execute programs directly. About you: 8+ years of B2B SaaS marketing experience across customer, lifecycle, growth, or revenue marketing, with a strong focus on post-sale outcomes. Proven success driving adoption, retention, and expansion within an installed base, with measurable impact on product usage, renewals, NRR, or expansion pipeline. Strong operator who can balance strategy, hands-on execution, and analytics in a fast-moving environment. AI fluent, using the latest AI tools as a natural and integral part of everyday work. Deep expertise and hands-on execution experience in customer and lifecycle marketing, including segmentation, testing, automation, and multi-touch journeys across email and in-product channels. Strong analytical, written, and communication skills, with the ability to turn customer behavior and performance data into clear programs, narratives, and executive-ready insights. Highly collaborative builder with a bias toward action, strong cross-functional influence, and interest in AI and agentic workflows. Location: This role is hybrid (4 days a week in our Mountain View or San Francisco office) Compensation & Benefits: The standard base salary range for this position is $220,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.", "summaryDescription" : "Director, Customer and Growth Product Marketing at Glean. Skills: Customer marketing, Lifecycle marketing, Growth marketing. Own post-sale marketing strategy. Design segmented lifecycle campaigns", "postedDate" : "2026-06-14T20:16:24.824", "createdAt" : "2026-06-14T20:16:24.824", "lastUpdated" : "2026-06-15T23:01:19.902", "ingestTimestamp" : "2026-06-14T20:16:24.824", "mongoId" : "6a2cb2f174d8ee00a09e3225", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 320000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Behavioral data analysis", "Leadership", "Customer marketing", "Lifecycle marketing", "Growth marketing", "Lifecycle growth marketing", "Revenue marketing", "Segmentation", "Testing", "Automation", "Multi-touch journeys", "Work AI", "Enterprise search", "AI Assistant", "AI agents", "Enterprise Graph", "Personal Knowledge Graph", "Agentic capabilities", "Agentic AI" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6c1974d8ee00a0916c27", "title" : "Channel and Field Marketing Manager, DACH", "company" : "Object First", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager level Channel and Field Marketing Manager in the Technology industry in Munich, Germany, adjusted for seniority and remote work." }, "location" : "München, Bavaria, Germany", "locations" : [ "München", "Bavaria", "Germany" ], "timestamp" : "2026-06-16T02:14:13.673", "fingerprint" : "a34adb90bd2d21658534ea6e320c793a2df871b01b764d8c2cf4108c17c9a488", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/objectfirsts/jobs/4896585101", "externalId" : "4896585101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "München", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "48.1371079,11.5753822" } ], "locationText" : "München, Bavaria, Germany", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Object First, now an independent business unit of Veeam, builds secure, simple, and powerful backup storage for Veeam customers, engineered with Absolute Immutability to deliver true ransomware-proof protection. Our Zero Access architecture ensures no one can alter or delete backup data, providing cyber resilience by design. We are a fast-growing team driven by innovation, clarity, and meaningful impact. The role is positioned as a regional Channel & Field Marketing Manager for DACH, focused primarily on execution and regional marketing delivery, rather than a strategic regional leadership position. The person in this role will work closely with regional sales teams and channel partners to execute marketing programs that drive partner engagement and pipeline generation. The ideal candidate is a hands-on regional marketer with strong experience working with channel partners and regional sales teams, who is comfortable owning marketing execution in the DACH region and driving partner-led demand generation activities. What You’ll Do Collaborate with Marketing and Sales teams to support regional marketing activities related to customer and partner recruitment, enablement, and growth. Build and execute regional marketing plans and track program performance on a monthly and quarterly basis. Work with internal teams to understand available messaging and content and adapt it for channel partners in the region. Ensure that partner-facing communications and marketing materials reflect the company’s brand and messaging. Support regional channel leaders with the local execution of marketing programs, content, and communications. Create and deliver marketing campaigns and communication assets for channel partners. Execute digital demand generation programs to build awareness among customers, recruit partners, and support partners in acquiring new customers. Plan and execute regional field marketing events and partner activities. Support PR and analyst relations activities in the region. Track marketing program performance using tools such as Marketo, Salesforce, and other platforms. Prepare clear written and verbal updates to keep teams informed about campaign progress and results. Work with marketing and sales teams to continuously improve the execution of regional marketing programs. What You’ll Bring Fluency in English and German (spoken and written) is mandatory. Strong channel marketing experience, including working with distributors and reseller partners in the DACH ecosystem. Regional execution mindset, with the ability to plan and execute partner campaigns, events, webinars, and demand generation activities. Strong alignment with sales, with experience working closely with regional sales teams to support pipeline generation. Ability to work with cross-functional teams to successfully launch and monitor new programs. Solid understanding of industry-standard channel programs. Strong analytical and problem-solving skills. Nice to have: Familiarity with Veeam and the Veeam partner ecosystem. Why Join Object First An exciting opportunity with a global, high-growth IT company. Paid annual leave in accordance with local regulations. Remote work options. Modern work equipment is provided. Opportunities for professional development and growth. A supportive and collaborative work environment. Equal Opportunity & Data Privacy Object First is an equal opportunity employer. We welcome and encourage diversity in our teams and are committed to creating an inclusive environment for all employees. By applying for this position, you consent to the processing of your personal data for recruitment purposes, in accordance with applicable data protection laws and Object First’s privacy practices. All candidate information will be treated with strict confidentiality throughout the process. Make an Impact with Us If you’re looking to make a real impact and grow alongside a company that builds secure, simple, and powerful technology, Object First is the place for you. Join us and take your career to the next level.", "summaryDescription" : "Channel and Field Marketing Manager, DACH at Object First", "postedDate" : "2026-06-14T20:07:30.030", "createdAt" : "2026-06-14T20:07:30.030", "lastUpdated" : "2026-06-16T02:14:13.673", "ingestTimestamp" : "2026-06-14T20:07:30.030", "mongoId" : "6a2c6c1974d8ee00a0916c27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ce86574d8ee00a0a6a957", "title" : "Senior Customer and Product Marketing Manager", "company" : "Replicant", "industry" : "Marketing", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Customer and Product Marketing Manager in the US SaaS industry, adjusted for seniority and remote work." }, "location" : "United States", "locations" : [ "United States", "Canada" ], "timestamp" : "2026-06-16T01:34:22.013", "fingerprint" : "7525b67b5c3294507ec0c39ecbb4ad351ee5be1ae9a291cfed8e7b8e38e6f853", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/replicant/4c2a3fd2-95ec-4516-9957-65f7e483c0b1/application", "externalId" : "4c2a3fd2-95ec-4516-9957-65f7e483c0b1", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Develop and execute marketing strategies, Drive customer acquisition, Manage marketing campaigns, Analyze growth metrics, Optimize marketing spend, Develop brand positioning, Conduct market research, Collaborate with product teams", "teamCollaboration" : "Cross-functional teams; Product teams", "domainKnowledge" : "Brand strategy; Customer acquisition; Growth metrics", "domainList" : [ "brand-strategy", "customer-acquisition", "growth-metrics" ], "domainSpecificKnowledge" : [ "Brand strategy", "Customer acquisition", "Growth metrics" ], "outcomesObjectives" : "Achieve customer acquisition targets; Improve growth metrics; Enhance brand positioning", "remoteFriendly" : true, "rawDescription" : "At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps. Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction. We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs) and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here. Replicant is looking for a Senior Product & Customer Marketing Senior Manager to drive industry positioning, solution messaging, customer advocacy, and go-to-market storytelling. This role will combine strategic product marketing responsibilities with customer marketing initiatives to help strengthen pipeline generation, customer engagement, retention, and expansion. The role will work closely with Sales, Engagement Managers, Product Management, and Marketing to connect customer insights, use cases, and success stories to Replicant’s broader go-to-market strategy. What You’ll Do - Industry and Solutions Marketing - Develop industry messaging, solution positioning, and use-case narratives aligned with Replicant’s platform and product strategy. Create vertical-focused content and sales materials that support pipeline generation, expansion opportunities, and strategic customer conversations. - Product Launches and GTM Execution - Lead cross-functional launch planning and execution, including enablement, GTM coordination, and post-launch optimization. Partner closely with Product, Sales, Engagement Managers, and Marketing to drive adoption across existing customers and successfully launch new solutions. - Customer Advocacy and Storytelling - Build and manage customer advocacy initiatives, including customer references, external case studies, internal “pocket stories,” and customer proof points that support Sales and Marketing efforts. - Customer Programs and Engagement - Plan and support customer-facing programs, events, and customer speaking opportunities designed to strengthen customer relationships, engagement, retention, and expansion. - GTM Customer Activation - Partner with Sales and Marketing to prepare customers for sales calls, events, and strategic conversations. Ensure customer stories and insights are effectively integrated into go-to-market initiatives. - Content and Cross-Functional Collaboration - Partner with Brand and Demand Generation to amplify customer and industry narratives across campaigns, launches, and GTM programs. Build content that supports awareness, credibility, pipeline generation, and customer engagement. - Technical and Solution Storytelling - Translate technical and product capabilities into clear customer narratives, industry messaging, and sales content that resonate with technical and business audiences. Partner with Product, Solutions, and GTM teams to communicate complex technology in a credible, customer-focused way. What You'll Bring - Passion for customer storytelling, product marketing, and creating impactful go-to-market programs. - 5+ years of experience in Product Marketing, Customer Marketing, or Solutions Marketing roles within SaaS, AI, or Contact Center technology. - Strong experience developing industry messaging, customer stories, and sales enablement content. - Proven ability to work cross-functionally with Sales, Engagement Manager, and Marketing teams. - Ability to translate complex technical concepts into customer narratives - Excellent verbal and written communication skills with a strong customer-facing presence. - Experience supporting customer advocacy programs, customer events, and reference management. - Strong organizational and project management skills with the ability to manage multiple priorities. - Data-driven mindset with the ability to identify opportunities that support retention, expansion, and pipeline growth. - Ability to thrive in a collaborative, fast-moving environment with strong ownership and accountability. For all full-time employees, we offer: \uD83C\uDF34 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal \uD83D\uDDA5️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them \uD83D\uDCCD Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar \uD83C\uDFCB️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being \uD83D\uDCB8 Compensation that matches your impact: competitive salaries in the company you’re helping to build \uD83D\uDCC8 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI company Our Values Replicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture. Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team. Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do. Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own. Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai hr@replicant.ai and we’ll work to meet your needs.", "summaryDescription" : "Senior Customer and Product Marketing Manager at Replicant. Develop and execute marketing strategies. Drive customer acquisition", "createdAt" : "2026-06-14T19:17:22.319", "lastUpdated" : "2026-06-16T01:34:22.013", "ingestTimestamp" : "2026-06-14T19:17:22.319", "mongoId" : "6a2ce86574d8ee00a0a6a957", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Brand strategy", "Customer acquisition", "Growth metrics" ], "skillCount" : 3, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306a7bf292fd229cfcc996", "title" : "Clinical Data Analyst", "company" : "Arthur Grand Technologies Inc", "industry" : "Information Technology And Services", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Data Analyst in Richmond, United States, adjusted for the healthcare industry and contract employment type." }, "location" : "Richmond, VA, United States", "locations" : [ "Richmond", "VA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.850", "fingerprint" : "e9b3a1348029e7c7279e61f54ba6663ab72465d766908a28153b147d70490b07", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ArthurGrandTechnologiesInc/744000132237009-clinical-data-analyst", "externalId" : "744000132237009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richmond", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5385087,-77.4342800" } ], "locationText" : "Richmond, Virginia, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data pipelines, Build and maintain data models, Perform complex data analysis, Create and manage BI dashboards, Develop and deploy machine learning models, Optimize data infrastructure, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on emerging technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) Title of Position:Clinical Data Analyst – Req ID 805128 Location: 6900 Atmore Road,, Richmond, VA.- Onsite Duration: Long Term Employment: Contract Rate: $Negotiable Interview type: Either In-Person OR Video Interview Clinical Operations Informatics Specialist Looking to translate between medical staff, the Electronic Health Record system, and clinical data needs. Skill * Experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary * Experience pulling data out of electronic health record systems * Experience validating EHR data through triangulation with other data within the EHR * Experience documenting workflows from clinical practice into EHR data entry and data management * Ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership Job Description: The role supports workflow improvement, clinical data analysis, and validation work that informs practice and decision making across Health Services. This is a clinical facing role with a work focus on clinical practice and end user experience. They will work closely with the Health Services EHR team and alongside the technical teams responsible for EHR configuration and development. Knowledge, Skills, Abilities or Competencies: Minimum: * Demonstrated experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary, enabling interoperability, clinical decision support, coding, and data analytics. * Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective. * Extensive experience pulling data out of electronic health record systems * Demonstrated experience answering clinical questions into analysis of data from an electronic health record system. * Demonstrated experience validating EHR data with outside data sources * Demonstrated experience validating EHR data through triangulation with other data within the EHR * Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management * Extensive experience with applying national EHR standards to an EHR product. * Demonstrated experience standardizing processes around an EHR implementation. * Demonstrated experience analyzing and documenting clinical workflows in a multidisciplinary care setting * Demonstrated ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership * Experience working in a multidisciplinary clinical environment with multiple stakeholder groups Additional Considerations: * Clinical or medical background (nursing, medicine, pharmacy, or similar) preferred * Correctional or institutional healthcare experience desired; experience in other constrained, multidisciplinary clinical environments may substitute * Experience with EHR systems in a clinical capacity required Core Duties: 1. Clinical workflow documentation * Documenting current workflows, identifying gaps, supporting staff-facing improvements, and contributing to standardization across state facilities. Establish documented inventory of HSU clinical workflows in EHR with prioritized improvement recommendations. 2. Data extraction, analysis and visualization * Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets. Building reporting that informs practice, and otherwise visualizing data that supports leadership decision-making with evidence. Establish practice for clinical data extraction and reporting with some completed reports answering live HSU questions. 3. Validation and testing * Validation of EHR updates from user perspective view. Consistent testing coverage of the base system in addition to support for MAR and related project components. Establish documented reduction in validation gaps on EHR changes. 4. Direct support to medical staff * Acting as a clinical point of contact for EHR-related questions and requests, with responsiveness as an explicit value. Successful handoff of documentation and established processes for continuity of work About Arthur Grand Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) ## Qualifications Clinical Operations Informatics Specialist Looking to translate between medical staff, the Electronic Health Record system, and clinical data needs. ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Clinical Data Analyst at Arthur Grand Technologies Inc. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data pipelines. Build and maintain data models", "postedDate" : "2026-06-15T15:40:35.000", "createdAt" : "2026-06-15T23:52:34.811", "lastUpdated" : "2026-06-16T08:41:03.850", "ingestTimestamp" : "2026-06-15T23:52:34.811", "mongoId" : "6a306a7bf292fd229cfcc996", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "69cf19022beec4dd3d8f336b", "title" : "Project Lead - Data and Analytics", "company" : "Collectiv", "industry" : "Consulting", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Project Lead - Data and Analytics in Chicago, adjusted for the consulting industry and company size." }, "location" : "Chicago, IL", "locations" : [ "Chicago", "IL" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:19:11.588", "fingerprint" : "f12367e374a02b40109d314dabfb83ad4c792739946c6417dea0b89ea7985c3a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://collectiv.breezy.hr/p/dd8333538616-project-lead-data-and-analytics", "externalId" : "dd8333538616", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Project leadership", "Business analysis", "Stakeholder management" ], "hardSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Lead client-facing initiatives, Manage initiatives from discovery, Deliver client-facing initiatives", "projectManagementSkills" : [ "Project leadership" ], "domainKnowledge" : "Cloud data services; ML frameworks; BI platforms; Cloud data stacks", "domainList" : [ "cloud-data-services", "ml-frameworks", "bi-platforms", "cloud-data-stacks" ], "domainSpecificKnowledge" : [ "Cloud data services", "ML frameworks", "BI platforms", "Cloud data stacks" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Job Title: Project Lead - Data and Analytics We are seeking a results-driven Project Lead Consultant to lead client-facing Data and AI initiatives from discovery through delivery. This role is ideal for a professional who combines strong project leadership, business analysis, and stakeholder manag", "summaryDescription" : "Project Lead - Data and Analytics at Collectiv. Skills: Data science, Data engineering, ML/AI, Business intelligence. Lead client-facing initiatives. Manage initiatives from discovery", "createdAt" : "2026-06-14T03:13:45.271", "lastUpdated" : "2026-06-15T09:19:11.588", "ingestTimestamp" : "2026-06-14T03:13:45.271", "mongoId" : "69cf19022beec4dd3d8f336b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Project leadership", "Business analysis", "Stakeholder management", "Cloud data services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306021f292fd229cf8619a", "title" : "Clinical Data Specialist", "company" : "Iterative Health", "industry" : "Healthcare", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Clinical Data Specialist in Cambridge, United States, adjusted for mid-seniority and the healthcare industry." }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States", "Dallas HQ", "New York", "New York", "United States" ], "timestamp" : "2026-06-16T07:50:02.004", "fingerprint" : "41ed16a45f5732b3e5ac6eadcdce4ab1f5128deee0fa2c57b2744365b2182d1d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iterativehealth/jobs/4687877006", "externalId" : "4687877006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "EHR, CTMS, CRM", "professionalSkills" : [ "Clinical documentation", "Patient recruitment", "Data management", "Operational coordination" ], "hardSkillsList" : [ "Data entry", "Database maintenance" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Database maintenance", "level" : "intermediate" } ], "majorSkills" : "Clinical research, Data analysis, Patient identification", "majorSkillsList" : [ "Clinical research", "Data analysis", "Patient identification" ], "coreResponsibilities" : "Review electronic health records, Identify patients for studies, Interpret study protocols, Interpret eligibility criteria, Determine appropriate patient populations, Build databases of participants, Maintain databases of participants, Document patient pre-screening activities, Document pre-screening findings, Collaborate with research sites, Collaborate with clinical teams, Support participant recruitment, Support research sites, Collect data, Document data, Coordinate operational activities, Assist with scheduling patient visits, Coordinate research appointments, Perform data entry, Maintain study records, Maintain tracking tools, Participate in project meetings, Contribute to process improvement", "teamCollaboration" : "Research sites; Clinical teams", "domainKnowledge" : "Clinical trials; Healthcare technology; Good Clinical Practice; Protected health information", "domainList" : [ "clinical-trials", "healthcare-technology", "good-clinical-practice", "protected-health-information" ], "domainSpecificKnowledge" : [ "Clinical trials", "Healthcare technology", "Good Clinical Practice", "Protected health information" ], "toolProficiency" : [ "Microsoft Office Suite", "Google Workspace", "Adobe Acrobat", "Salesforce", "CTMS platforms" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Accurate documentation; Study documentation; Data documentation", "qualificationsBasic" : "Bachelor's degree or equivalent, Proficiency with Microsoft Office Suite, Proficiency with Google Workspace, Proficiency with Adobe Acrobat, Proficiency with web-based applications, Ability to learn new technology platforms, Exceptional attention to detail, Organizational skills, Time management skills, Ability to manage multiple priorities, Excellent written communication skills, Excellent verbal communication skills, Ability to work independently, Ability to work collaboratively, High degree of professionalism, High degree of discretion, High degree of integrity", "qualificationsPreferred" : "Prior experience in clinical research, Prior experience in healthcare operations, Prior experience in patient recruitment, Prior experience in data management, Familiarity with clinical research protocols, Familiarity with eligibility criteria, Experience reviewing EHR data, Experience interpreting EHR data, Knowledge of GCP guidelines, Knowledge of clinical research regulations, Experience in healthcare technology, Experience in biotech, Experience in a startup environment, Familiarity with Salesforce, Familiarity with CTMS platforms, Familiarity with research technology systems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. The Iterative Health Site Network is a premier network of 100+ clinical research sites across the US and Europe, accelerating the path to market for novel therapies. By combining deep expertise in clinical trials with cutting-edge AI, we empower research teams and study sponsors to expand and expedite access to novel therapeutics for patients in need. About Iterative Health At Iterative Health, we are transforming clinical research through the power of AI, technology, and human expertise. Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to improve patient outcomes. Through the Iterative Health Site Network — a premier network of 100+ clinical research sites across the US and Europe — we help expand and expedite access to novel therapeutics for patients in need. Why This Role Matters The Clinical Data Specialist at Iterative Health plays a critical role in supporting clinical trial operations across the Iterative Health research network. This position is responsible for conducting detailed EHR reviews to identify potential clinical trial candidates, supporting patient recruitment efforts, maintaining research databases, and ensuring accurate documentation throughout the patient pre-screening process. The ideal candidate is highly detail-oriented, thrives in a fast-paced environment, and is passionate about advancing clinical research through data-driven patient identification and operational excellence. Where You’ll Drive Impact Clinical Trial Patient Identification & Screening Review electronic health records (EHRs) to identify patients who may qualify for active clinical research studies. Interpret study protocols and eligibility criteria to determine appropriate patient populations for recruitment. Build and maintain databases of potential study participants across multiple research programs. Document patient pre-screening activities and findings in accordance with established procedures and regulatory requirements. Collaborate with research sites and clinical teams to support participant recruitment initiatives. Research Operations Support Support research sites within the Iterative Health network through data collection, documentation, and operational coordination activities. Assist with scheduling patient visits and coordinating research-related appointments. Perform accurate and timely data entry into clinical research databases and internal systems. Maintain study-related records and tracking tools to support operational efficiency and reporting needs. Participate in project meetings and contribute to ongoing process improvement initiatives. Compliance & Quality Handle protected health information (PHI) and research data in a confidential, compliant, and secure manner. Adhere to company policies, study protocols, Good Clinical Practice (GCP) guidelines, and applicable regulatory requirements. Ensure accuracy, completeness, and quality of all documentation and data-related activities. What You Bring to the Team Bachelor's degree or equivalent combination of education and experience. Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint), Google Workspace (Docs, Sheets, Drive, Gmail), Adobe Acrobat, and web-based applications. Ability to quickly learn and navigate new technology platforms, including Electronic Health Records (EHRs), Clinical Trial Management Systems (CTMS), and Customer Relationship Management (CRM) tools. Exceptional attention to detail and organizational skills. Strong time management skills with the ability to manage multiple priorities simultaneously. Excellent written and verbal communication skills. Demonstrated ability to work independently and collaboratively in a dynamic, fast-paced environment. High degree of professionalism, discretion, and integrity when handling sensitive information. Preferred Qualifications Prior experience in clinical research, healthcare operations, patient recruitment, or data management. Familiarity with clinical research protocols and eligibility criteria. Experience reviewing and interpreting electronic health record data. Knowledge of Good Clinical Practice (GCP) guidelines and clinical research regulations. Experience working within a healthcare technology, biotech, or startup environment. Familiarity with Salesforce, CTMS platforms, or similar research technology systems. How We Work Collaborative and low-ego team environment High ownership and accountability culture Fast-paced and highly iterative growth environment Open communication and continuous learning mindset Mission-driven organization focused on improving patient outcomes Comfortable navigating evolving business priorities and opportunities Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. Hybrid work environment with in-office collaboration two days per week in either our NYC or Boston office Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health Mental health and wellness support through Spring Health Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years 401(k) program with a company match of up to 3% (up to $3,000 annually) Weekly in-office lunch benefit every Tuesday 100% company-paid short-term and long-term disability coverage Annual wellness and professional development stipend to support your health and growth And more! At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.", "summaryDescription" : "Clinical Data Specialist at Iterative Health. Skills: Clinical research, Data analysis, Patient identification. Review electronic health records. Identify patients for studies", "postedDate" : "2026-06-15T23:23:01.338", "createdAt" : "2026-06-15T23:23:01.338", "lastUpdated" : "2026-06-16T07:50:02.004", "ingestTimestamp" : "2026-06-15T23:23:01.338", "mongoId" : "6a306021f292fd229cf8619a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data entry", "Database maintenance", "Clinical research", "Data analysis", "Patient identification", "Clinical documentation", "Patient recruitment", "Data management", "Operational coordination", "Clinical trials", "Healthcare technology", "Good Clinical Practice", "Protected health information", "Microsoft Office Suite", "Google Workspace", "Adobe Acrobat", "Salesforce", "CTMS platforms" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a68b774d8ee00a06359ec", "title" : "Marketing and Communications Director", "company" : "Accanto Health", "industry" : "Healthcare", "salary" : { "min" : 129000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "2355 Highway 36 W, Ste 202, Roseville, MN 55113", "locations" : [ "2355 Highway 36 W", "Ste 202", "Roseville", "MN 55113" ], "timestamp" : "2026-06-14T21:48:54.890", "fingerprint" : "28a7ccf672670f139dd6caaa5d3d5bcaf77462305a92d3eb821f28b348adebe4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/accantohealth858accanto858/jobs/5251406008", "externalId" : "5251406008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Roseville", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.0060767,-93.1566107" } ], "locationText" : "Roseville, Minnesota, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Digital marketing, Email marketing, Marketing automation", "professionalSkills" : [ "Brand management", "Strategic communications", "B2B marketing", "Consumer nurture campaigns", "Cross-functional project management", "Brand strategy", "Customer acquisition", "Growth metrics", "Brand stewardship", "Referral relationships", "Organizational culture", "Marketing initiatives", "Campaign management", "Marketing workflows", "Audience-centered messaging", "Organizational goals", "Strategic planning", "Execution-oriented", "Project management", "Brand standards", "Organizational alignment", "Marketing performance metrics", "Editorial oversight", "Messaging guidance", "Strategic communication planning", "Organizational messaging", "Communication plans", "Change management", "Strategic marketing", "Campaign planning", "Brand development", "Audience engagement", "Strategic thinking", "Detail-focused", "Organizational skills", "Leadership skills", "Professionalism", "Adaptability", "Sound judgment", "Leadership presence", "Influence", "Confidential communications", "Discretion", "Relationship-building", "Accountability", "Follow-through" ], "hardSkillsList" : [ "Marketing strategy", "Communications strategy", "B2B marketing strategy", "Consumer nurture campaigns", "Multi-channel campaigns", "Email marketing systems", "CRM tools", "Marketing analytics", "Campaign performance analysis", "Brand consistency", "Messaging consistency", "Project management", "Cross-functional initiatives", "Timeline management", "Budget management", "Priority management" ], "softSkillsList" : [ "Leadership", "Adaptability", "Professionalism", "Judgment", "Influence", "Discretion" ], "hardSkills" : [ { "name" : "Marketing strategy", "level" : "intermediate" }, { "name" : "Communications strategy", "level" : "intermediate" }, { "name" : "B2B marketing strategy", "level" : "intermediate" }, { "name" : "Consumer nurture campaigns", "level" : "intermediate" }, { "name" : "Multi-channel campaigns", "level" : "intermediate" }, { "name" : "Email marketing systems", "level" : "intermediate" }, { "name" : "CRM tools", "level" : "intermediate" }, { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Campaign performance analysis", "level" : "intermediate" }, { "name" : "Brand consistency", "level" : "intermediate" }, { "name" : "Messaging consistency", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Cross-functional initiatives", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Priority management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Adaptability" }, { "name" : "Professionalism" }, { "name" : "Judgment" }, { "name" : "Influence" }, { "name" : "Discretion" } ], "majorSkills" : "Marketing strategy, Communications strategy, Brand management, Project management", "majorSkillsList" : [ "Marketing strategy", "Communications strategy", "Brand management", "Project management" ], "coreResponsibilities" : "Lead integrated marketing and communications strategies, Oversee internal communications initiatives, Develop B2B marketing strategies, Create consumer nurture campaigns, Collaborate with leadership and stakeholders, Maintain organizational brand standards, Coordinate cross-functional marketing projects, Evaluate marketing and communication performance metrics, Provide editorial oversight, Support executive leadership with strategic communication planning, Develop communication plans for organizational initiatives, Manage multiple priorities, Ensure projects are completed efficiently and effectively", "teamCollaboration" : "Cross-functional teams; Executive leadership; Clinical teams; Operational teams; Referral partners; External vendors; Department stakeholders", "projectManagementSkills" : [ "Project management", "Cross-functional initiatives", "Timeline management", "Budget management", "Priority management" ], "domainKnowledge" : "Eating disorders; Behavioral health; Healthcare marketing", "domainList" : [ "eating-disorders", "behavioral-health", "healthcare-marketing" ], "domainSpecificKnowledge" : [ "Eating disorders", "Behavioral health", "Healthcare marketing" ], "toolProficiency" : [ "Marketing automation platforms", "CRM systems", "Project management software" ], "communicationSkills" : "Written communication; Verbal communication; Audience tailoring; Messaging guidance; Organizational messaging", "problemSolvingSkills" : "Data analysis; Campaign optimization", "specialRequirements" : "95% sitting, Extensive computer use", "outcomesObjectives" : "Strengthen awareness; Improve engagement outcomes; Support organizational growth; Achieve organizational objectives", "qualificationsBasic" : "Bachelor’s degree in marketing, communications, public relations, journalism, business, or related field, Minimum of seven years of progressive experience in marketing, communications, brand management, or related leadership roles, Minimum of three years’ experience managing direct reports, Experience managing integrated marketing campaigns, Experience managing internal communications, Experience managing multi-channel communication strategies, Demonstrated experience in project management, Demonstrated experience leading cross-functional initiatives with competing priorities and deadlines, Understanding of digital marketing platforms, Exceptional written and verbal communication skills, Ability to tailor messaging for diverse audiences, Ability to analyze campaign performance data, Demonstrated commitment to maintaining brand consistency, Demonstrated commitment to organizational messaging standards, Ability to manage timelines, Ability to manage budgets, Ability to manage competing priorities effectively", "qualificationsPreferred" : "Master’s degree preferred, Experience developing nurture campaigns preferred, Experience developing B2B marketing strategies preferred, Experience developing audience engagement initiatives preferred, Experience working within healthcare preferred, Experience working within behavioral health preferred, Experience working within nonprofit preferred, Experience working within mission-driven organizations preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our vision is a world of peaceful relationships with food, weight, and body image, where everyone with an eating disorder can experience recovery. We believe that exceptional, individualized care leads to lasting recovery from eating disorders. That’s why our teams are comprised of compassionate, dedicated professionals from a variety of backgrounds who collaborate to provide the very best evidence-based care for our clients at all levels of care. Position Overview The Director of Marketing & Communications is responsible for leading the organization’s integrated communications and marketing strategy across internal and external audiences. This position oversees internal communications, B2B marketing initiatives, consumer nurture campaigns, and cross-functional marketing project management to ensure consistency, effectiveness, and alignment with organizational goals. This role serves as a strategic communications leader and brand steward, responsible for developing and executing marketing initiatives that strengthen awareness, engagement, referral relationships, and organizational culture. The Director of Marketing & Communications collaborates closely with executive leadership, clinical and operational teams, referral partners, and external vendors to create meaningful and measurable communications strategies. The Director oversees the planning and execution of multi-channel campaigns including email nurture streams, referral partner communications, digital marketing initiatives, organizational announcements and internal employee communications strategy. This position also supports marketing workflows and prioritization to ensure projects are completed efficiently and effectively. The ideal candidate is both strategic and execution-oriented, with strong communication skills, marketing expertise, and exceptional project management abilities. This role requires the ability to manage multiple priorities while maintaining brand standards, organizational alignment, and audience-centered messaging. Schedule Full Time, 1.0 FTE, (40hrs/wk), Monday through Friday from 8:00am to 5:00pm, Eastern Time zone preferred. Compensation Range: Marketing and Communications Director: $129,000 - $150,000 Annually Final Compensation offered will be within pay range based on qualifications/experience met for the position How the Marketing and Communications Director Empowers Recovery Leads development and execution of integrated marketing and communications strategies that support organizational growth, engagement, and brand awareness. Oversees internal communications initiatives including leadership messaging, employee communications, organizational updates, culture initiatives, and communication planning. Develops and manages B2B marketing strategies focused on referral sources, professional partnerships, and community relationships. Creates and oversees consumer nurture campaigns across digital platforms including email marketing, automation workflows, lead nurturing, and retention communications. Collaborates with leadership and department stakeholders to identify communication needs, priorities, and opportunities. Maintains and strengthens organizational brand standards, voice, tone, and messaging consistency across all channels. Coordinates and manages cross-functional marketing projects to ensure deadlines and organizational objectives are achieved. Evaluates marketing and communication performance metrics to optimize campaigns and improve engagement outcomes. Provides editorial oversight, proofreading, and messaging guidance for organizational communications. Supports executive leadership with strategic communication planning and organizational messaging initiatives. Develops communication plans for organizational initiatives, launches, events, and change management efforts. Other Job Duties as applies Qualifications Education Qualifications: Bachelor’s degree in marketing, communications, public relations, journalism, business, or related field required. Master’s degree preferred Professional Qualifications: Minimum of seven years of progressive experience in marketing, communications, brand management, or related leadership roles. Minimum of three years’ experience managing direct reports Experience managing integrated marketing campaigns, internal communications, and multi-channel communication strategies required. Demonstrated experience in project management and leading cross-functional initiatives with competing priorities and deadlines. Strong understanding of digital marketing platforms including email marketing systems, CRM tools, and marketing analytics. Exceptional written and verbal communication skills with the ability to tailor messaging for diverse audiences including executives, employees, referral partners, consumers, and community stakeholders. Experience developing nurture campaigns, B2B marketing strategies, and audience engagement initiatives preferred. Proficiency with marketing automation platforms, CRM systems, and project management software. Ability to analyze campaign performance data and make informed recommendations for optimization and improvement. Demonstrated commitment to maintaining brand consistency and organizational messaging standards. Experience working within healthcare, behavioral health, nonprofit, or mission-driven organizations preferred. Demonstrated ability to manage timelines, budgets, and competing priorities effectively Workplace Environment: Requires long periods of sitting (95% sitting, 5% standing) Extensive computer use Competencies: Strong strategic marketing and campaign planning capabilities. Advanced project management and organizational skills. Strong understanding of brand development and audience engagement strategies. Must possess strategic thinking skills while also being highly execution-oriented and detail-focused. Strong organizational and leadership skills with demonstrated ability to manage multiple projects simultaneously. Must demonstrate professionalism, adaptability, collaboration, and sound judgment in fast-paced environments. Strong leadership presence and ability to influence across departments and organizational levels. Ability to manage confidential and sensitive communications with discretion and professionalism. Collaborative mindset with strong interpersonal and relationship-building skills. Ability to work independently while maintaining strong accountability and follow-through. What we offer: Employee Benefits: We understand the importance of a well-rounded benefits package. That’s why we’re dedicated to providing a range of plans to meet your needs. For full-time employees, we offer: HSA and PPO insurance with HSA or FSA options (Blue Cross Blue Shield) Dental insurance (Delta Dental) Vision insurance (EyeMed) Short-term and long-term disability insurance Company-paid life insurance 401(k) plan available two months after start date Company 401(k) matching for up to 50% of your contribution, up to 6% of your compensation Paid time off is a crucial part of maintaining work and life balance. Our generous PTO plan accrues annually and begins with your first whole pay period. Eligible employees enjoy seven paid holidays and one floating holiday in addition to their regular PTO.", "summaryDescription" : "Marketing and Communications Director at Accanto Health. Skills: Marketing strategy, Communications strategy, Brand management, Project management. Lead integrated marketing and communications strategies. Oversee internal communications initiatives", "postedDate" : "2026-06-12T00:07:53.525", "createdAt" : "2026-06-12T00:07:53.525", "lastUpdated" : "2026-06-14T21:48:54.890", "ingestTimestamp" : "2026-06-12T00:07:53.525", "mongoId" : "6a2a68b774d8ee00a06359ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 129000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing strategy", "Communications strategy", "B2B marketing strategy", "Consumer nurture campaigns", "Multi-channel campaigns", "Email marketing systems", "CRM tools", "Marketing analytics", "Campaign performance analysis", "Brand consistency", "Messaging consistency", "Project management", "Cross-functional initiatives", "Timeline management", "Budget management", "Priority management", "Leadership", "Adaptability", "Professionalism", "Judgment", "Influence", "Discretion", "Brand management", "Strategic communications", "B2B marketing", "Cross-functional project management", "Brand strategy", "Customer acquisition", "Growth metrics", "Brand stewardship", "Referral relationships", "Organizational culture", "Marketing initiatives", "Campaign management", "Marketing workflows", "Audience-centered messaging", "Organizational goals", "Strategic planning", "Execution-oriented", "Brand standards", "Organizational alignment", "Marketing performance metrics", "Editorial oversight", "Messaging guidance", "Strategic communication planning", "Organizational messaging", "Communication plans", "Change management", "Strategic marketing", "Campaign planning", "Brand development", "Audience engagement", "Strategic thinking", "Detail-focused", "Organizational skills", "Leadership skills", "Sound judgment", "Leadership presence", "Confidential communications", "Relationship-building", "Accountability", "Follow-through", "Eating disorders", "Behavioral health", "Healthcare marketing", "Marketing automation platforms", "CRM systems", "Project management software" ], "skillCount" : 68, "jobCategory" : "other", "jobSubcategory" : "communications", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "693c2b9170f0b99d5844010c", "title" : "Website and Content Marketing Manager", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Marketing PR, Marketing, no business category", "salary" : { "min" : 150000.0, "max" : 250000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in E-commerce in Sao Paulo, Brazil, adjusted for seniority and full-time employment." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:51:51.002", "fingerprint" : "a14b840e000b3e74c5c52a0ec71c21c7cef55cdf9ef7b23d7fa0b8ae382934f2", "source" : "amazon", "language" : "pt", "applyUrl" : "https://account.amazon.com/jobs/3137823/apply", "externalId" : "11e619cb-6b8a-44b9-9b4e-e233a8ded9de", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Tableau", "professionalSkills" : [ "Content creation", "SEO", "UX research", "Marketing campaigns" ], "hardSkillsList" : [ "Data manipulation", "Macros", "Charts", "Pivot tables", "Content production", "Performance analysis" ], "softSkillsList" : [ "Customer focus" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Macros", "level" : "intermediate" }, { "name" : "Charts", "level" : "intermediate" }, { "name" : "Pivot tables", "level" : "intermediate" }, { "name" : "Content production", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer focus" } ], "majorSkills" : "Website management, Content marketing, SEO, Growth metrics", "majorSkillsList" : [ "Website management", "Content marketing", "SEO", "Growth metrics" ], "coreResponsibilities" : "Create website content, Create new website pages, Run website tests, Own website analytics, Own website SEO, Drive seller registrations, Increase program awareness, Manage outsourced team roadmap, Create and maintain website pages, Launch new website features, Drive experiments to improve conversion, Track website performance, Own content production, Conduct surveys, Conduct UX research, Lead cross-functional initiatives, Drive technical improvements, Drive new features roadmap, Manage outsourced headcounts goals, Manage outsourced headcounts roadmap, Manage outsourced headcounts ways of working", "teamCollaboration" : "Product stakeholders; Program stakeholders; Business stakeholders; Global stakeholders; Category teams; Product management; Program management; Supply chain; Business leaders; Central product teams", "projectManagementSkills" : [ "Roadmap management" ], "domainKnowledge" : "Selling partner marketing; Marketplace operations", "domainList" : [ "selling-partner-marketing", "marketplace-operations" ], "domainSpecificKnowledge" : [ "Selling partner marketing", "Marketplace operations" ], "toolProficiency" : [ "SellDot", "Seller Central" ], "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Drive seller registrations; Increase program awareness; Improve conversion across website", "qualificationsBasic" : "Marketing experience, Use data and metrics, Excel or Tableau, Build and scale programs, Measure marketing performance", "qualificationsPreferred" : "Manage external partners, Present ideas to various levels", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Brazil Selling Partner Marketing team is responsible for driving seller acquisition to all categories available on the marketplace. We own both strategy and execution of marketing channels and programs. We are looking for an experienced and results-driven Marketing Manager to manage our selling partner facing websites across Brazil. Your job will be to create content, new pages, run tests and and own the analytics and SEO of our websites (SellDot, Seller Central Welcome Page, Retail placements and Blog), helping to drive registrations of new sellers on Amazon, and increase programs awareness. You will also be responsible for managing the roadmap of 4 outsourced headcounts that will take care of operational tasks from page creation, asset development and other responsibilities. The ideal candidate will be highly collaborative, self-starter, with strong customer focus, and project management skills, working in a fast-paced, data-driven environment. The candidate has proven success of creating content, testing and launching new tactics, measuring results and optimizing performance over time against a clear set of measurable targets. You will partner with Amazon’s category teams, product and program management, supply chain, and business leaders in Brazil, as well as teams across geographies. Key job responsibilities * Working closely with product, program and business stakeholders to create and maintain website pages for programs, events and educational content * Launching new website features in collaboration with global stakeholders * Driving experiments to improve conversion across the website and tracking performance analysis * Owning content production for blog and newsletter * Deep understanding of the selling partner and customer, by conducting surveys and UX research, with obsessive understanding of new opportunities * Leading cross-functional marketing initiatives in partnership with key stakeholders * Work with central product teams for driving technical improvements and new features roadmap for the website * Managing goals, roadmap and ways of working of 4 outsourced headcounts from India Basic Qualifications: - Experience in professional non-internship marketing - Experience using data and metrics to drive improvements - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion - Experience managing and measuring marketing performance in various channels Preferred Qualifications: - Experience managing external partners to develop marketing programs - Experience presenting ideas to various levels of an organization to gain support for initiatives Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Website and Content Marketing Manager at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Website management, Content marketing, SEO, Growth metrics. Create website content. Create new website pages", "postedDate" : "2026-06-13T00:14:39.535", "createdAt" : "2026-06-13T00:14:39.535", "lastUpdated" : "2026-06-15T01:51:51.002", "ingestTimestamp" : "2026-06-13T00:14:39.535", "mongoId" : "693c2b9170f0b99d5844010c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137823/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Macros", "Charts", "Pivot tables", "Content production", "Performance analysis", "Customer focus", "Website management", "Content marketing", "SEO", "Growth metrics", "Content creation", "UX research", "Marketing campaigns", "Roadmap management", "Selling partner marketing", "Marketplace operations", "SellDot", "Seller Central" ], "skillCount" : 19, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706997fc9a711f0f6fe81", "title" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Science, Cloud Computing", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T06:03:22.811", "fingerprint" : "2de507a2af9713958cf19fc7bc76811d52243f83d9bf8296e6df9008d561a0ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051327/apply", "externalId" : "17bd976f-c327-4f8f-82fd-e01156aa798f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI algorithms, Generative AI, Machine Learning, Large Language Models, Python, Tensorflow, Keras, PyTorch, MXNet, AWS, SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, JAX", "professionalSkills" : [ "Business acumen", "Data science", "AI methods" ], "hardSkillsList" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Data Science", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Data Science" ], "coreResponsibilities" : "Research AI algorithms, Design AI algorithms, Develop AI algorithms, Evaluate AI algorithms, Interact with customers, Understand business problem, Aid customers in implementation of AI solutions, Deliver briefing sessions to customers, Deliver deep dive sessions to customers, Guide customer on adoption patterns, Guide customer on paths to production, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models; US Intelligence Community", "domainList" : [ "generative-ai", "large-language-models", "us-intelligence-community" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "US Intelligence Community" ], "toolProficiency" : [ "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "communicationSkills" : "Customer briefings; Deep dive sessions; Executive stakeholder presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code; Presentations", "innovationCreativity" : "Drive feature innovation", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "TS/SCI with Polygraph, Up to 25% local travel", "qualificationsBasic" : "Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience, 5+ years of experience building models for business applications, Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, Experience using Python, Hands on experience building models with deep learning frameworks (i. e. Tensorflow, Keras, PyTorch, MXNet), Current, active US Government Security Clearance of TS/SCI with Polygraph", "qualificationsPreferred" : "Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, AWS experience preferred, Practical experience in solving complex problems in an applied environment, Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX, Experience building applications leveraging GenAI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI. This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities As an Data Scientist, you will: - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction - This position may require up to 25% local travel. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences and inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience building models for business applications - Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow, Keras, PyTorch, MXNet) - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch) - Practical experience in solving complex problems in an applied environment - Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX - Experience building applications leveraging GenAI Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Data Science. Research AI algorithms. Design AI algorithms", "postedDate" : "2026-06-13T12:13:39.251", "createdAt" : "2026-06-13T12:13:39.251", "lastUpdated" : "2026-06-15T06:03:22.811", "ingestTimestamp" : "2026-06-13T12:13:39.251", "mongoId" : "68b706997fc9a711f0f6fe81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051327/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning", "Generative AI", "Machine Learning", "Data Science", "Business acumen", "Data science", "AI methods", "Large Language Models", "US Intelligence Community", "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2d68a474d8ee00a0bce0a6", "title" : "Clinical Trainer and Auditor", "company" : "Blue Cross Blue Shield of Arizona", "industry" : "Insurance", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Clinical Trainer and Auditor in the United States, adjusted for the healthcare industry and remote work." }, "location" : "AZ Blue Phoenix, AZ 85021", "locations" : [ "AZ Blue Phoenix, AZ 85021", "United States of America" ], "timestamp" : "2026-06-16T05:26:57.362", "fingerprint" : "9c3723f1e0cf2dbbccba439e03193d6ef538c62f4ca82fd68e6aa834c2712cc6", "source" : "workday", "language" : "en", "applyUrl" : "https://bcbsaz.wd1.myworkdayjobs.com/BCBSAZCareers/job/AZ-Blue-Phoenix-AZ-85021/Clinical-Trainer-and-Auditor---Remote-AZ_R6055-1", "externalId" : "R6055", "industryFunction" : { }, "locationPoint" : "41.61115,-87.63477", "structuredLocations" : [ { "state" : "Arizona", "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions. At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements: * Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week * Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week * Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month * Onsite: daily onsite requirement based on the essential functions of the job * Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week. This remote work opportunity requires residency, and work to be performed, within the State of Arizona. ## **PURPOSE OF THE JOB** * Responsible for developing and delivering clinical curriculum, developmental programs and services to assist with achievement of goals and initiatives. * Responsible for conducting clinical audits and reviews to ensure standardization and consistency with nurse reviewer clinical decisions. ## ## ## **QUALIFICATIONS** **REQUIRED QUALIFICATIONS** **Required Work Experience** * 5 years of direct clinical care experience in a healthcare setting * 2 years of work experience in a managed care setting * 4 years of clinical training or clinical education experience, preferably in managed care. **Required Education** * Associate Degree in general field of study or Post High School Nursing Diploma **Required Licenses** * Active, current, and unrestricted license to practice in the State of Arizona (a state in the United States) as a Registered Nurse (RN) or Master’s in Social Work (MSW). **Required****Certifications** * N/A **PREFERRED QUALIFICATIONS** **Preferred Work Experience** * 5 years of experience in clinical education, training and instructional design. * 1 year of experience working with Milliman Care Guidelines (MCG), InterQual and/or other clinical criteria/guidelines. **Preferred Education** * Bachelor's Degree in Nursing or Master’s Degree in Nursing **Preferred Certifications** * Active and current _certifications_ in the following certifications: Certified Case Manager (CCM) or Utilization Management Certification **Preferred Certifications** * N/A ## **ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES** * Develop and educate clinical staff on the company's clinical philosophy and evidence based practice methods required for excellent patient outcomes and regulatory requirements for care management and utilization management. * Identify training needs outside of core curriculum to promote maximized effectiveness in managing medical costs and improving clinical outcomes. * Maintain and monitor the delivery and effectiveness of the training programs, identify solutions to challenges and implement improvements. * Assist with the development and evaluation of performance goals and objectives and quality management activities. * Develop and facilitate new hire orientation for the clinical staff and ensure transition of training into daily work activities related to clinical practice, patient safety and evidence-based practice. * Performs quality audits and facilitates inter-rater reliability assessments to ensure standardization and consistency with clinical decisions. * Support and provide education with process improvement programs and technical applications. * Develop programs to support educational needs as determined by management. * Present status reports on all cases to the manager/supervisor and, when indicated, to the medical director. * Maintain all standards in consideration of state, federal, BCBSAZ, URAC, and other accreditation requirements. * Maintain complete and accurate records per department policy. * Participate in continuing education and current development in the field of medicine and managed care. * Facilitate interdisciplinary care round/discussions under the direction of the VP, Clinical Benefit Management and/or delegate. * The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements. * Perform all other duties as assigned. ## **COMPETENCIES** **REQUIRED COMPETENCIES** **Required Job Skills** * Strong written and verbal communications. Excellent organizational skills and strong attention to detail * Possess proficient computer and technological skills especially Word, Excel, Powerpoint, SharePoint, Lync/Webinar and Internet * Ability to gather, analyze data and prepare informative and accurate reports. * Ability to understand the workflow of multiple components of the company and to assist in the creation and implementation of integrated policies, procedures, workplans and creative solutions. **Required Professional Competencies** * Ability to develop, organize, motivate, coordinate and collaborate effectively with stakeholders from multiple business areas across the organization * Ability to successfully function in an environment characterized by risk taking, rapidly changing market conditions, strong competition and restructuring. * Strong understanding of the costs/quality challenges of today’s health care environment. * Knowledge of health and/or patient education and behavior change techniques * Organizational skills to analyze, interpret data, synthesize, evaluate and explain educational concepts, practices and methodologies to staff and transfer data to and from written and verbal medium. * Ability to maintain confidentiality and privacy * Advanced knowledge of Adult Learning Theory principles and demonstrated ability to facilitate training that resonates with all learning styles * Practice interpersonal and active listening skills to achieve customer satisfaction * Demonstrated organizational skills with the ability to priortize tasks and work with multiple priorities * Follow and accept instruction and direction * Establish and maintain working relationships in a collaborative team environment * Apply independent and sound judgment with good problem solving skills **Required Leadership Experience and Competencies** * Desire and capability to drive toward and achieve high standard of quality and results. * Mindset geared toward the creation, execution and continuous improvement of clinical benefit management department and programs. Intellectual curiosity and ability to view old problems/issues with a fresh perspective. * Ability to perform job role duties independently. * Ability to professionally represent BCBSAZ in the community **PREFERRED COMPETENCIES** **Preferred Job Skills** * Advanced PC proficiency * Knowledge of CPT/HCPCs and ICD-10 coding **Preferred Professional Competencies** * Knowledge of managed care, utilization management, and quality management **Preferred Leadership Experience and Competencies** * N/A **Our Commitment** AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group. Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.", "summaryDescription" : "Clinical Trainer and Auditor at Blue Cross Blue Shield of Arizona", "postedDate" : "2026-06-11T18:55:33.931", "createdAt" : "2026-06-14T18:55:33.911", "lastUpdated" : "2026-06-16T05:26:57.362", "ingestTimestamp" : "2026-06-14T18:55:33.911", "mongoId" : "6a2d68a474d8ee00a0bce0a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://bcbsaz.wd1.myworkdayjobs.com/BCBSAZCareers/job/AZ-Blue-Phoenix-AZ-85021/Clinical-Trainer-and-Auditor---Remote-AZ_R6055-1", "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43974d8ee00a09b0c83", "title" : "Managing Engineer", "company" : "Forsgren Associates", "industry" : "Consulting", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "CO - Denver (FA)", "locations" : [ "CO - Denver (FA)" ], "certifications" : [ "Professional Engineer (PE)" ], "timestamp" : "2026-06-16T01:46:43.652", "fingerprint" : "d2bed423c136bf85697743d48d061108a95e219c57ed7f3790f6cacc32c1dcbe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/forsgrenassociates/jobs/5182314008", "externalId" : "5182314008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "experienceLevel" : "Manager", "professionalSkills" : [ "Business development", "Client relationship management" ], "majorSkills" : "Project management, Team leadership", "majorSkillsList" : [ "Project management", "Team leadership" ], "coreResponsibilities" : "Lead and manage engineers, Monitor project schedules, Monitor project budgets, Monitor technical quality, Monitor team workload, Strengthen client relationships, Expand client relationships, Guide and mentor staff, Develop client relationships, Identify new business opportunities, Prepare proposals, Make client presentations, Partner with division leadership, Manage talent development, Manage succession planning, Refine firm's strategy, Implement firm's strategy, Manage Denver office operations, Achieve corporate objectives, Ensure profitability", "teamCollaboration" : "Multidisciplinary project teams; Division leadership", "projectManagementSkills" : [ "Project proposals", "Project scopes", "Project budgets", "Project execution" ], "domainKnowledge" : "Civil engineering", "domainList" : [ "civil-engineering" ], "domainSpecificKnowledge" : [ "Civil engineering" ], "communicationSkills" : "Verbal communication; Written communication; Client presentations", "qualificationsBasic" : "B.S. in Civil Engineering, Professional Engineer (PE) registration in Colorado, 15+ years of civil engineering experience, Manage client relationships, Lead multidisciplinary project teams, Project management experience, Staff mentorship, Performance management capabilities, Strategic planning experience, Client development experience, Operational oversight experience", "qualificationsPreferred" : "Ability to obtain PE license", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "When you join Forsgren Associates, a newly acquired Apex Company, you won’t just be ‘going to work’. You’ll be helping grow a longstanding business while receiving the recognition and support your commitment to professional growth deserves. Your Responsibilities as a Managing Engineer: Lead and manage a team of engineers and technical staff on a wide variety of infrastructure projects—from planning and design through bidding and construction. Drive operational excellence by monitoring project schedules, budgets, technical quality, and team workload. Strengthen and expand client relationships and workload through responsive, value-driven engineering solutions. Guide and mentor staff to cultivate a high-performing team culture focused on quality, accountability, and professional growth. Develop and strengthen client relationships by proactively identifying new business opportunities through networking, thoughtful engagement, proposal preparation, and client presentations, supporting the growth of our regional business development program. Partner with division leadership on strategic planning, business development, and client relationship management throughout the western U. S. Play a central role in talent development, succession planning, and long-term organizational sustainability. Take the lead for refinement and implementation of the firm’s strategy, business growth plan, and day-to-day operations of our Denver office to achieve overall corporate objectives and ensure profitability. What we're looking for: B. S. in Civil Engineering (or related field) Professional Engineer (PE) registration in Colorado (or ability to obtain such a license) 15+ years of civil engineering experience Proven ability to manage client relationships and lead multidisciplinary project teams Project management experience including development of project proposals, scopes, budgets, and successful execution of engineering projects Strong staff mentorship and performance management capabilities Experience with strategic planning, client development, and operational oversight Excellent verbal and written communications skills, and strong interpersonal skills Why you'll love working for us: Flexible Schedule Competitive Pay Medical, Vision, Dental, and HSA Generous PTO 401K Plan including employer contribution Annual Expected Pay Range $160,000—$200,000 USD", "summaryDescription" : "Managing Engineer at Forsgren Associates. Skills: Project management, Team leadership. Lead and manage engineers. Monitor project schedules", "postedDate" : "2026-06-14T20:11:44.185", "createdAt" : "2026-06-14T20:11:44.185", "lastUpdated" : "2026-06-16T01:46:43.652", "ingestTimestamp" : "2026-06-14T20:11:44.185", "mongoId" : "6a2ca43974d8ee00a09b0c83", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Project management", "Team leadership", "Business development", "Client relationship management", "Project proposals", "Project scopes", "Project budgets", "Project execution", "Civil engineering", "Professional Engineer (PE)" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Engineering", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3087a4f292fd229c08b1f8", "title" : "Business Analyst, Data Masking and Compliance", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 118000.0, "max" : 152000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada - Toronto", "locations" : [ "Canada - Toronto" ], "timestamp" : "2026-06-16T12:32:44.174", "fingerprint" : "f519232f48132c719665d37d19932956dfa1532fec2df391bf8a340f99776803", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8003346", "externalId" : "8003346", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data governance", "Risk remediation", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement" ], "hardSkillsList" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics" ], "hardSkills" : [ { "name" : "Data masking standards", "level" : "intermediate" }, { "name" : "Evidence collection", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Governance metrics", "level" : "intermediate" } ], "majorSkills" : "Data masking, Compliance, Risk remediation, Data governance", "majorSkillsList" : [ "Data masking", "Compliance", "Risk remediation", "Data governance" ], "coreResponsibilities" : "Assess applications against data masking standards, Identify compliance gaps, Identify remediation requirements, Partner with application owners, Understand application processes, Understand data flows, Understand masking requirements, Design evidence collection processes, Implement evidence collection processes, Demonstrate compliance through objective testing, Facilitate stakeholder discussions, Align business requirements with standards, Support adoption of required controls, Create compliance reporting, Track status, Generate governance metrics", "teamCollaboration" : "Partnering with stakeholders; Bridging business and technology teams; Application owners; Business stakeholders; Senior stakeholders", "projectManagementSkills" : [ "Audit remediation" ], "domainKnowledge" : "Data masking; Data governance; Banking; Payments; Enterprise technology; Risk management; Operational risk", "domainList" : [ "data-masking", "data-governance", "banking", "payments", "enterprise-technology", "risk-management", "operational-risk" ], "domainSpecificKnowledge" : [ "Data masking", "Data governance", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Professional development; Industry-leading expertise", "problemSolvingSkills" : "Translating standards; Practical requirements", "outcomesObjectives" : "Strengthen data governance practices; Contribute to risk remediation program", "qualificationsBasic" : "Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services, Stakeholder management and communication skills, Ability to understand business processes, Experience performing data analysis, Process design, process engineering, or operational improvement experience", "qualificationsPreferred" : "Experience with data masking, Experience with data protection, Experience with privacy controls, Experience with information security programs, Knowledge of banking, Knowledge of payments, Knowledge of enterprise technology environments, Familiarity with audit remediation programs, Familiarity with regulatory examinations, Familiarity with control testing frameworks, Experience designing governance reporting, Experience designing compliance dashboards, Experience designing executive-level status reporting, Understanding of risk management frameworks, Understanding of operational risk practices", "rawDescription" : "Drive Enterprise Risk Remediation Through Data Governance Excellence The Role Capco is seeking a Business Analyst, Data Masking and Compliance to support a critical enterprise audit remediation initiative within a leading financial institution. This newly created role will focus on assessing application compliance against enterprise data masking standards, partnering with stakeholders to drive adoption, and establishing sustainable evidence collection and reporting processes. You will play a key role in bridging business and technology teams, helping application owners understand compliance requirements while ensuring regulatory and audit expectations are met. This is an opportunity to influence enterprise-wide controls, strengthen data governance practices, and contribute to a high-profile risk remediation program. What You’ll Do Assess and prioritize applications requiring review against enterprise data masking standards, identifying compliance gaps and remediation requirements. Partner with application owners and business stakeholders to understand application processes, data flows, and masking requirements. Design and implement evidence collection and validation processes that demonstrate compliance through objective testing rather than attestation alone. Facilitate stakeholder discussions to align business requirements with enterprise standards while supporting adoption of required controls. Create compliance reporting, status tracking, and governance metrics that integrate with broader audit remediation KRIs and KPIs. What We’re Looking For Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services. Strong stakeholder management and communication skills with the ability to build trust, influence outcomes, and navigate competing priorities. Ability to understand business processes and translate enterprise standards into practical application-level requirements. Experience performing data analysis and interpreting data flows, controls, and compliance requirements. Process design, process engineering, or operational improvement experience with a focus on scalable control frameworks. Bonus Points For Experience with data masking, data protection, privacy controls, or information security programs. Knowledge of banking, payments, and enterprise technology environments. Familiarity with audit remediation programs, regulatory examinations, or control testing frameworks. Experience designing governance reporting, compliance dashboards, and executive-level status reporting. Understanding of risk management frameworks and operational risk practices within large financial institutions. Why Join Capco Work on high-impact regulatory and risk transformation initiatives for leading financial institutions. Partner with senior stakeholders across business, technology, risk, and compliance functions. Join a collaborative, entrepreneurial consulting culture that values innovation and practical problem-solving. Access continuous learning, professional development, and industry-leading expertise. Help shape the future of data governance, compliance, and risk management within the financial services industry. Benefits Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment. Retirement Savings Program – RRSP with the option of receiving a matching employer contribution. Virtual Health Care and Employee & Family Assistance Program available to employees and their dependents. Enhanced parental leave benefits from Day 1 of employment, plus a company-sponsored new parent gift. Wellness reimbursement and a dedicated Business Coach from Day 1 to support your career growth and development. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. Pay Transparency The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity. Canada Pay Transparency $118,000—$152,000 CAD", "summaryDescription" : "Business Analyst, Data Masking and Compliance at Capco. Skills: Data masking, Compliance, Risk remediation, Data governance. Assess applications against data masking standards. Identify compliance gaps", "postedDate" : "2026-06-16T01:20:47.212", "createdAt" : "2026-06-16T01:20:47.212", "lastUpdated" : "2026-06-16T12:32:44.174", "ingestTimestamp" : "2026-06-16T01:20:47.212", "mongoId" : "6a3087a4f292fd229c08b1f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics", "Data masking", "Compliance", "Risk remediation", "Data governance", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement", "Audit remediation", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a19a13c58b93c861e5c7a00", "title" : "Managing Director", "company" : "Masterworks", "industry" : "Real Estate", "salary" : { "min" : 350000.0, "max" : 650000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director in Financial Services in Beverly Hills, adjusted for seniority and company size." }, "location" : "Beverly Hills, CA", "locations" : [ "Beverly Hills", "CA" ], "timestamp" : "2026-06-15T22:57:21.844", "fingerprint" : "1505056eab3c3fa27324017478e2bcf2ff4cec8807c7d3cb608445c8873a3e65", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://masterworks.breezy.hr/p/e9117d5ec736-managing-director-art-gallery-beverly-hills", "externalId" : "e9117d5ec736", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beverly Hills", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0696501,-118.3963062" } ], "locationText" : "Beverly Hills, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "domainKnowledge" : "Art investment", "domainList" : [ "art-investment" ], "domainSpecificKnowledge" : [ "Art investment" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "About Masterworks Masterworks Advisers is a Registered Investment Adviser that advises clients on art-related investment products. We allow anyone to invest in SEC-qualified shares of multi-million dollar paintings by artists like Banksy, Basquiat, and Picasso. We have introduced over 1 million ind", "summaryDescription" : "Managing Director at Masterworks", "createdAt" : "2026-06-14T21:54:02.522", "lastUpdated" : "2026-06-15T22:57:21.844", "ingestTimestamp" : "2026-06-14T21:54:02.522", "mongoId" : "6a19a13c58b93c861e5c7a00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 350000, "salaryAnnualMax" : 650000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Art investment" ], "skillCount" : 1, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2ca54074d8ee00a09b56b6", "title" : "Managing Attorney", "company" : "Gibson Dunn", "industry" : "Legal", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Managing Attorney in Washington, D.C., adjusted for a large law firm and manager-level experience." }, "location" : "Washington, D.C.", "locations" : [ "Washington", "D.C." ], "certifications" : [ "Admission to Washington D. C. Bar" ], "timestamp" : "2026-06-16T00:42:56.084", "fingerprint" : "c0745a95cd98a5337fc9c1a2428aff5f6f877a42d85d70bd626c21c3e956584d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gibsondunn/jobs/4264839009", "externalId" : "4264839009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Procedural guidance", "Legal research", "Quality control" ], "hardSkillsList" : [ "Electronic filing", "Docketing", "Court rules", "CM/ECF", "PACER", "CourtAlert", "Westlaw", "Bar admissions" ], "hardSkills" : [ { "name" : "Electronic filing", "level" : "intermediate" }, { "name" : "Docketing", "level" : "intermediate" }, { "name" : "Court rules", "level" : "intermediate" }, { "name" : "CM/ECF", "level" : "intermediate" }, { "name" : "PACER", "level" : "intermediate" }, { "name" : "CourtAlert", "level" : "intermediate" }, { "name" : "Westlaw", "level" : "intermediate" }, { "name" : "Bar admissions", "level" : "intermediate" } ], "majorSkills" : "Legal compliance, Procedural matters, Court document review", "majorSkillsList" : [ "Legal compliance", "Procedural matters", "Court document review" ], "coreResponsibilities" : "Develop and implement best practices for electronic filing, Develop and implement best practices for docketing, Review court documents for accuracy, Review court documents for procedural compliance, Conduct legal research, Advise litigators on procedural matters, Ensure compliance with court rules, Provide procedural guidance to attorneys, Assist with service of process issues, Coordinate with process servers, Monitor new cases, Monitor rule changes, Inform attorneys of recent developments, Handle electronic case filings, Coordinate hard copy filings, Coordinate document retrieval, Retrieve information from court-related databases, Retrieve information from websites, Retrieve information from docketing applications, Retrieve information from calendaring applications, Analyze information from court-related databases, Analyze information from websites, Analyze information from docketing applications, Analyze information from calendaring applications, Screen incoming court documents, Review incoming court documents, Screen incoming correspondence, Review incoming correspondence, Calculate deadlines, Calendar deadlines, Perform quality control reviews, Ensure accuracy of docket entries, Ensure consistency of docket entries, Ensure accuracy of calendar entries, Ensure consistency of calendar entries, Ensure timely notification to attorneys, Collect attorney information, Maintain attorney information, Update attorney information, Assist with department projects, Assist with department initiatives", "teamCollaboration" : "Work with Director of Managing Attorney’s Offices; Interact with attorneys; Interact with court personnel; Interact with administrative staff", "domainKnowledge" : "FRCP; FRAP; D. C. federal courts; D. C. state courts", "domainList" : [ "frcp", "frap", "d-c-federal-courts", "d-c-state-courts" ], "domainSpecificKnowledge" : [ "FRCP", "FRAP", "D. C. federal courts", "D. C. state courts" ], "toolProficiency" : [ "CM/ECF", "PACER", "Bloomberg Law", "CourtAlert", "Westlaw" ], "communicationSkills" : "Verbal communication; Written communication", "qualificationsBasic" : "Admission to Washington D. C. Bar required, Minimum of five years’ experience in a Managing Attorney’s Office at a large law firm", "qualificationsPreferred" : "Experience supervising staff within a Managing Attorney’s Office at a large law firm", "workSiteFlexibility" : "Onsite", "rawDescription" : "Gibson Dunn is a leading global law firm, advising clients on significant transactions and disputes. Our exceptional teams craft and deploy creative legal strategies that are meticulously tailored to every matter, however complex or high-stakes. The firm’s work is distinguished by a unique combination of precision and vision. Based in Washington D.C., the Managing Attorney work closely with the Director of Managing Attorney’s Offices to develop and implement best practices for electronic filing and docketing within the firm’s D. C. office. This role reports to the Director of Managing Attorney’s Offices. Responsibilities include: Review for accuracy, as to form and procedural compliance, all court documents served and/or filed through the Managing Attorney’s Office-D. C. Conduct legal research to advise litigators on various procedural matters and to ensure compliance with court rules. Provide procedural guidance to attorneys regarding motion practice, policies, and procedures in Washington, D. C. state and federal courts, as well as surrounding areas. Assist with issues relating to service of process including engaging and coordinating with process servers. Monitor new cases and rule changes to keep attorneys informed of recent developments under D. C. state rules, FRCP, and FRAP. Assist with and handle electronic case filings via CM/ECF and state court systems, as well as coordinate hard copy filings and document retrieval as needed. Retrieve and analyze information from court-related databases, websites, and relevant docketing and calendaring applications including, but not limited to, PACER, Bloomberg Law, CourtAlert and Westlaw. Screen and review incoming court documents and correspondence to calculate and calendar relevant deadlines using the firm’s docketing system (CourtAlert). Perform quality control reviews of docket and calendar entries to ensure accuracy and consistency. Ensure timely notification to attorneys of filing deadlines, court appearances, and other critical dates Collect, maintain, and update attorney information, including bar admissions and e-filing credentials. Assist with department projects and initiatives as needed Qualifications: Experience supervising staff within a Managing Attorney’s Office at a large law firm strongly preferred. Strong interpersonal, verbal, and written communication skills; ability to interact effectively with attorneys, court personnel, and administrative staff. Highly organized, self-motivated, and a collaborative team player. Comprehensive knowledge of Washington, D. C. federal and state court systems, including corresponding rules and procedures. Ability to work efficiently under tight deadlines, manage multiple priorities, and adapt to shifting demands. Exceptional attention to detail, follow-through, and commitment to high-quality work. Ability to work independently and as part of a team in a fast-paced, professional environment. Experience: Bachelor’s degree in a related field. Admission to Washington D. C. Bar required. Minimum of five years’ experience in a Managing Attorney’s Office at a large law firm. Gibson Dunn will consider for employment qualified Applicants with Criminal Histories in a manner consistent with the requirements of local law. Compensation retirement benefits; paid days off, including sick time, and vacation time; parental leave; basic life insurance; Flexible Spending Accounts; as well as discretionary, performance-based bonuses. ______ For technical difficulties with our online application, please contact us at staffrecruiting@gibsondunn.com. Our recruiting support team will respond as soon as possible. ______ Gibson Dunn is committed to ensuring equal employment opportunities for all qualified applicants, including individuals with disabilities. We strive to ensure an inclusive and accessible hiring experience. The Firm will provide reasonable accommodations to qualified individuals with disabilities to enable participation in the application and recruitment process, unless doing so would impose an undue hardship, in accordance with applicable laws and regulations. If you require a reasonable accommodation to complete an application, participate in an interview, or otherwise take part in the recruitment process, please contact us at recruiting-accommodations@gibsondunn.com. Please note, this is a dedicated email inbox established exclusively to assist applicants with accommodation request related to the recruitment process. Inquiries about the status of an application or other non-accommodation matter will not receive a response.", "summaryDescription" : "Managing Attorney at Gibson Dunn. Skills: Legal compliance, Procedural matters, Court document review. Develop and implement best practices for electronic filing. Develop and implement best practices for docketing", "postedDate" : "2026-06-14T20:15:27.727", "createdAt" : "2026-06-14T20:15:27.727", "lastUpdated" : "2026-06-16T00:42:56.084", "ingestTimestamp" : "2026-06-14T20:15:27.727", "mongoId" : "6a2ca54074d8ee00a09b56b6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Electronic filing", "Docketing", "Court rules", "CM/ECF", "PACER", "CourtAlert", "Westlaw", "Bar admissions", "Legal compliance", "Procedural matters", "Court document review", "Procedural guidance", "Legal research", "Quality control", "FRCP", "FRAP", "D. C. federal courts", "D. C. state courts", "Admission to Washington D. C. Bar", "Bloomberg Law" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a5dc074d8ee00a061a230", "title" : "Marketing and Communications Director", "company" : "The Emily Program", "industry" : "Healthcare", "salary" : { "min" : 129000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "2355 Highway 36 W, Ste 202, Roseville, MN 55113", "locations" : [ "2355 Highway 36 W", "Ste 202", "Roseville", "MN 55113" ], "timestamp" : "2026-06-14T09:40:41.335", "fingerprint" : "cf6bb8c3eaab0e3f9dff853e2c191dfca155d020db6d8cc3921f07f0a1ba9530", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/the858emily123program/jobs/5251969008", "externalId" : "5251969008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Roseville", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.0060767,-93.1566107" } ], "locationText" : "Roseville, Minnesota, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Email marketing, Marketing automation, CRM", "professionalSkills" : [ "Brand management", "Strategic communications", "B2B marketing", "Consumer nurture campaigns", "Cross-functional project management", "Brand strategy", "Customer acquisition", "Growth metrics", "Organizational culture", "Referral relationships", "Evidence-based care", "Marketing initiatives", "Brand awareness", "Engagement outcomes", "Messaging consistency", "Organizational objectives", "Campaign optimization", "Editorial oversight", "Messaging guidance", "Strategic planning", "Change management", "Strategic marketing", "Campaign planning", "Brand development", "Audience engagement", "Leadership skills", "Organizational skills", "Leadership presence", "Interpersonal skills", "Relationship-building skills" ], "hardSkillsList" : [ "Project management", "Budget management", "Timeline management" ], "softSkillsList" : [ "Professionalism", "Adaptability", "Sound judgment", "Discretion" ], "hardSkills" : [ { "name" : "Project management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Professionalism" }, { "name" : "Adaptability" }, { "name" : "Sound judgment" }, { "name" : "Discretion" } ], "majorSkills" : "Marketing strategy, Communications strategy, Brand management, Campaign management", "majorSkillsList" : [ "Marketing strategy", "Communications strategy", "Brand management", "Campaign management" ], "coreResponsibilities" : "Lead integrated marketing communications strategies, Oversee internal communications initiatives, Develop B2B marketing strategies, Create consumer nurture campaigns, Collaborate with leadership stakeholders, Maintain organizational brand standards, Coordinate cross-functional marketing projects, Evaluate marketing communication performance metrics, Provide editorial oversight, Support executive leadership, Develop communication plans", "teamCollaboration" : "Cross-functional teams; Executive leadership; Clinical teams; Operational teams; Referral partners; External vendors", "projectManagementSkills" : [ "Project management", "Cross-functional initiatives", "Prioritization" ], "domainKnowledge" : "Eating disorders; Behavioral health; Healthcare marketing", "domainList" : [ "eating-disorders", "behavioral-health", "healthcare-marketing" ], "domainSpecificKnowledge" : [ "Eating disorders", "Behavioral health", "Healthcare marketing" ], "toolProficiency" : [ "Email marketing systems", "CRM tools", "Marketing analytics", "Marketing automation platforms", "CRM systems", "Project management software" ], "communicationSkills" : "Written communication; Verbal communication; Tailor messaging; Organizational messaging", "problemSolvingSkills" : "Data analysis; Campaign optimization", "specialRequirements" : "95% sitting, 5% standing, Extensive computer use", "outcomesObjectives" : "Strengthen awareness; Improve engagement outcomes; Achieve organizational objectives", "qualificationsBasic" : "Bachelor's degree in marketing, Bachelor's degree in communications, Bachelor's degree in public relations, Bachelor's degree in journalism, Bachelor's degree in business, Seven years of progressive experience, Three years' experience managing direct reports, Experience managing integrated marketing campaigns, Experience managing internal communications, Experience managing multi-channel communication strategies, Demonstrated experience in project management, Demonstrated experience leading cross-functional initiatives, Understanding of digital marketing platforms, Exceptional written communication skills, Exceptional verbal communication skills, Ability to analyze campaign performance data", "qualificationsPreferred" : "Master's degree preferred, Experience developing nurture campaigns, Experience developing B2B marketing strategies, Experience developing audience engagement initiatives, Proficiency with marketing automation platforms, Proficiency with CRM systems, Proficiency with project management software, Experience working within healthcare, Experience working within behavioral health, Experience working within nonprofit, Experience working within mission-driven organizations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Our vision is a world of peaceful relationships with food, weight, and body image, where everyone with an eating disorder can experience recovery. We believe that exceptional, individualized care leads to lasting recovery from eating disorders. That’s why our teams are comprised of compassionate, dedicated professionals from a variety of backgrounds who collaborate to provide the very best evidence-based care for our clients at all levels of care. Position Overview The Director of Marketing & Communications is responsible for leading the organization’s integrated communications and marketing strategy across internal and external audiences. This position oversees internal communications, B2B marketing initiatives, consumer nurture campaigns, and cross-functional marketing project management to ensure consistency, effectiveness, and alignment with organizational goals. This role serves as a strategic communications leader and brand steward, responsible for developing and executing marketing initiatives that strengthen awareness, engagement, referral relationships, and organizational culture. The Director of Marketing & Communications collaborates closely with executive leadership, clinical and operational teams, referral partners, and external vendors to create meaningful and measurable communications strategies. The Director oversees the planning and execution of multi-channel campaigns including email nurture streams, referral partner communications, digital marketing initiatives, organizational announcements and internal employee communications strategy. This position also supports marketing workflows and prioritization to ensure projects are completed efficiently and effectively. The ideal candidate is both strategic and execution-oriented, with strong communication skills, marketing expertise, and exceptional project management abilities. This role requires the ability to manage multiple priorities while maintaining brand standards, organizational alignment, and audience-centered messaging. Schedule Full Time, 1.0 FTE, (40hrs/wk), Monday through Friday from 8:00am to 5:00pm, Eastern Time zone preferred. Compensation Range: Marketing and Communications Director: $129,000 - $150,000 Annually Final Compensation offered will be within pay range based on qualifications/experience met for the position How the Marketing and Communications Director Empowers Recovery Leads development and execution of integrated marketing and communications strategies that support organizational growth, engagement, and brand awareness. Oversees internal communications initiatives including leadership messaging, employee communications, organizational updates, culture initiatives, and communication planning. Develops and manages B2B marketing strategies focused on referral sources, professional partnerships, and community relationships. Creates and oversees consumer nurture campaigns across digital platforms including email marketing, automation workflows, lead nurturing, and retention communications. Collaborates with leadership and department stakeholders to identify communication needs, priorities, and opportunities. Maintains and strengthens organizational brand standards, voice, tone, and messaging consistency across all channels. Coordinates and manages cross-functional marketing projects to ensure deadlines and organizational objectives are achieved. Evaluates marketing and communication performance metrics to optimize campaigns and improve engagement outcomes. Provides editorial oversight, proofreading, and messaging guidance for organizational communications. Supports executive leadership with strategic communication planning and organizational messaging initiatives. Develops communication plans for organizational initiatives, launches, events, and change management efforts. Other Job Duties as applies Qualifications Education Qualifications: Bachelor’s degree in marketing, communications, public relations, journalism, business, or related field required. Master’s degree preferred Professional Qualifications: Minimum of seven years of progressive experience in marketing, communications, brand management, or related leadership roles. Minimum of three years’ experience managing direct reports Experience managing integrated marketing campaigns, internal communications, and multi-channel communication strategies required. Demonstrated experience in project management and leading cross-functional initiatives with competing priorities and deadlines. Strong understanding of digital marketing platforms including email marketing systems, CRM tools, and marketing analytics. Exceptional written and verbal communication skills with the ability to tailor messaging for diverse audiences including executives, employees, referral partners, consumers, and community stakeholders. Experience developing nurture campaigns, B2B marketing strategies, and audience engagement initiatives preferred. Proficiency with marketing automation platforms, CRM systems, and project management software. Ability to analyze campaign performance data and make informed recommendations for optimization and improvement. Demonstrated commitment to maintaining brand consistency and organizational messaging standards. Experience working within healthcare, behavioral health, nonprofit, or mission-driven organizations preferred. Demonstrated ability to manage timelines, budgets, and competing priorities effectively Workplace Environment: Requires long periods of sitting (95% sitting, 5% standing) Extensive computer use Competencies: Strong strategic marketing and campaign planning capabilities. Advanced project management and organizational skills. Strong understanding of brand development and audience engagement strategies. Must possess strategic thinking skills while also being highly execution-oriented and detail-focused. Strong organizational and leadership skills with demonstrated ability to manage multiple projects simultaneously. Must demonstrate professionalism, adaptability, collaboration, and sound judgment in fast-paced environments. Strong leadership presence and ability to influence across departments and organizational levels. Ability to manage confidential and sensitive communications with discretion and professionalism. Collaborative mindset with strong interpersonal and relationship-building skills. Ability to work independently while maintaining strong accountability and follow-through. What we offer: Employee Benefits: We understand the importance of a well-rounded benefits package. That’s why we’re dedicated to providing a range of plans to meet your needs. For full-time employees, we offer: HSA and PPO insurance with HSA or FSA options (Blue Cross Blue Shield) Dental insurance (Delta Dental) Vision insurance (EyeMed) Short-term and long-term disability insurance Company-paid life insurance 401(k) plan available two months after start date Company 401(k) matching for up to 50% of your contribution, up to 6% of your compensation Paid time off is a crucial part of maintaining work and life balance. Our generous PTO plan accrues annually and begins with your first whole pay period. Eligible employees enjoy seven paid holidays and one floating holiday in addition to their regular PTO.", "summaryDescription" : "Marketing and Communications Director at The Emily Program. Skills: Marketing strategy, Communications strategy, Brand management, Campaign management. Lead integrated marketing communications strategies. Oversee internal communications initiatives", "postedDate" : "2026-06-11T19:18:52.052", "createdAt" : "2026-06-11T19:18:52.052", "lastUpdated" : "2026-06-14T09:40:41.335", "ingestTimestamp" : "2026-06-11T19:18:52.052", "mongoId" : "6a2a5dc074d8ee00a061a230", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 129000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Project management", "Budget management", "Timeline management", "Professionalism", "Adaptability", "Sound judgment", "Discretion", "Marketing strategy", "Communications strategy", "Brand management", "Campaign management", "Strategic communications", "B2B marketing", "Consumer nurture campaigns", "Cross-functional project management", "Brand strategy", "Customer acquisition", "Growth metrics", "Organizational culture", "Referral relationships", "Evidence-based care", "Marketing initiatives", "Brand awareness", "Engagement outcomes", "Messaging consistency", "Organizational objectives", "Campaign optimization", "Editorial oversight", "Messaging guidance", "Strategic planning", "Change management", "Strategic marketing", "Campaign planning", "Brand development", "Audience engagement", "Leadership skills", "Organizational skills", "Leadership presence", "Interpersonal skills", "Relationship-building skills", "Cross-functional initiatives", "Prioritization", "Eating disorders", "Behavioral health", "Healthcare marketing", "Email marketing systems", "CRM tools", "Marketing analytics", "Marketing automation platforms", "CRM systems", "Project management software" ], "skillCount" : 51, "jobCategory" : "other", "jobSubcategory" : "communications", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305119f292fd229cef9c97", "title" : "Lead Product Manager, Data and AI", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Product Manager, Data and AI in Bulgaria, adjusted for SaaS industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:00:21.262", "fingerprint" : "82fe4f4fdc8ab1372055aa6158ae911736d6dc6afa73b5b74d4c6341bc3b8381", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/f4b9f71e-4327-4077-a695-5a7cf7ad3271/apply", "externalId" : "f4b9f71e-4327-4077-a695-5a7cf7ad3271", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Machine learning, Generative AI, Large language models, LLMs, Advanced analytics", "professionalSkills" : [ "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making" ], "hardSkillsList" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI development", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Product performance measurement", "level" : "intermediate" }, { "name" : "Experimentation frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, Generative AI, Analytics solutions", "majorSkillsList" : [ "Machine learning", "Generative AI", "Analytics solutions" ], "coreResponsibilities" : "Define product vision and roadmap, Execute product vision and roadmap, Align initiatives with business objectives, Lead development of AI solutions, Lead deployment of AI solutions, Manage product lifecycle, Collaborate with cross-functional stakeholders, Integrate intelligent capabilities into products, Establish frameworks for measuring product performance, Establish frameworks for experimentation, Establish frameworks for business impact, Use data-driven insights for decision-making, Use data-driven insights for optimization, Translate business challenges into product requirements, Act as bridge between technical and non-technical stakeholders, Promote responsible AI development, Partner with governance stakeholders, Partner with privacy stakeholders, Partner with compliance stakeholders, Ensure ethical product outcomes, Ensure secure product outcomes, Ensure reliable product outcomes, Mentor team members, Contribute to product management best practices, Foster culture of innovation, Foster culture of collaboration, Foster culture of continuous improvement", "teamCollaboration" : "Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf9a674d8ee00a0a9b52d", "title" : "Growth Marketing Manager- Affiliates and Referrals", "company" : "Lightspeed", "industry" : "Marketing", "salary" : { "min" : 80000.0, "max" : 100000.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Ottawa", "locations" : [ "Ottawa" ], "timestamp" : "2026-06-15T08:40:52.676", "fingerprint" : "a2806466498a11cd1621c0538c2c821d3509f67d7871e53f542e0ad67e4dfa97", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/d46707d1-324f-4c8d-a553-42fb8fd70996/application", "externalId" : "d46707d1-324f-4c8d-a553-42fb8fd70996", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ottawa", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.4208777,-75.6901106" } ], "locationText" : "Ottawa, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Affiliate marketing, Referral marketing", "professionalSkills" : [ "Business development", "Partnership management", "Negotiation", "Performance optimization", "Technical integration" ], "hardSkillsList" : [ "Commission structure optimization" ], "hardSkills" : [ { "name" : "Commission structure optimization", "level" : "intermediate" } ], "majorSkills" : "Affiliate marketing, Referral marketing, Partnership development", "majorSkillsList" : [ "Affiliate marketing", "Referral marketing", "Partnership development" ], "coreResponsibilities" : "Lead strategy and performance, Drive lead generation, Source new partners, Develop new partners, Manage existing relationships, Strengthen existing relationships, Optimize commission structures, Maximize growth, Maximize performance, Shape brand perception, Influence customer acquisition, Deliver business results, Develop affiliate marketing plans, Execute affiliate marketing plans, Develop referral marketing plans, Execute referral marketing plans, Drive user growth, Negotiate agreements, Track program performance, Evaluate partnerships, Monitor performance, Improve performance, Monitor conversion rates, Improve conversion rates, Build technical integrations", "teamCollaboration" : "Collaborate with Analytics team; Work with Marketing Operations; Work with Data teams; Align with Brand Marketing team", "projectManagementSkills" : [ "Project prioritization" ], "domainKnowledge" : "Affiliate marketing; Referral partnerships; B2B lead generation", "domainList" : [ "affiliate-marketing", "referral-partnerships", "b2b-lead-generation" ], "domainSpecificKnowledge" : [ "Affiliate marketing", "Referral partnerships", "B2B lead generation" ], "toolProficiency" : [ "Impact", "Rakuten", "CJ" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Training opportunities", "problemSolvingSkills" : "Problem-solving; Analytical skills", "specialRequirements" : "13 month contract", "outcomesObjectives" : "Maximize growth; Maximize performance; Deliver business results", "qualificationsBasic" : "Experience in business development, Experience in sales, Experience in partnerships, Experience with Affiliate Networks, Ability to manage multiple projects, Ability to prioritize projects, Verbal communication skills, Written communication skills, English language proficiency, Excellent problem-solving skills, Excellent analytical skills, Experience in technical integration", "qualificationsPreferred" : "Lead-generation experience B2B, Experience managing affiliate strategy, Experience managing affiliate execution, Focus on direct response, Experience in fast-paced environment, Proven track record hitting targets, Proven track record improving ROI, Proven track record improving CAC, Hands-on experience using affiliate tracking tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! As a Growth Marketing Manager- Affiliates and Referrals, you will lead the strategy and performance of one of the company’s most important marketing channels by driving lead generation through affiliate marketing and referral partnerships. In this role, you will be responsible for sourcing and developing new partners, managing and strengthening existing relationships, and optimizing commission structures to maximize growth and performance. Reporting to the Directors of Performance Marketing, North America, you will play a key role in shaping brand perception, influencing customer acquisition, and delivering measurable business results through one of Lightspeed’s largest marketing channels. Your contributions will be instrumental to the continued growth and success of the business. Please note that this is a 13-month fixed-term contract position starting in August 2026. What you’ll be doing: - Develop and execute affiliate & referral marketing plans to drive user growth at scale - Identify new partners, negotiate agreements, and strengthen existing partnerships - Collaborate with Analytics team to track overall program performance and evaluate individual partnerships - Monitor and improve performance and conversion rates across the marketing and product funnel - Work with Marketing Operations and Data teams to build technical integrations with partners - Align with Brand Marketing team to promote consistent brand narrative What you need to bring: - Experience in business development, sales, partnerships or similar opportunities to negotiate with partners - Experience with Affiliate Networks (Impact, Rakuten, CJ) - Ability to manage and prioritize multiple projects while optimizing for highest impact - Strong verbal and written communication skills in English - Excellent problem-solving and analytical skills - Experience in technical integration of partners Even better if you have, but not necessary: - Lead-generation experience in a B2B environment - Experience managing affiliate strategy and execution, with focus on direct response in a fast-paced environment - Proven track record of hitting aggressive targets and improving ROI and CAC - Hands-on experience using affiliate tracking tools You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you - all within a driven, diverse and inclusive team that’s passionate about empowering our communities. At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $80,000 - $100,000. Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Growth Marketing Manager- Affiliates and Referrals at Lightspeed. Skills: Affiliate marketing, Referral marketing, Partnership development. Lead strategy and performance. Drive lead generation", "createdAt" : "2026-06-14T02:41:21.502", "lastUpdated" : "2026-06-15T08:40:52.676", "ingestTimestamp" : "2026-06-14T02:41:21.502", "mongoId" : "6a2cf9a674d8ee00a0a9b52d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Commission structure optimization", "Affiliate marketing", "Referral marketing", "Partnership development", "Business development", "Partnership management", "Negotiation", "Performance optimization", "Technical integration", "Project prioritization", "Referral partnerships", "B2B lead generation", "Impact", "Rakuten", "CJ" ], "skillCount" : 15, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3059d3f292fd229cf4b2e9", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T08:36:35.216", "fingerprint" : "b5c332c6dff17e08ec57719085edffc2e13874ec8bad2f42503c2cc63f81fd86", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/openai/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:28:18.616", "lastUpdated" : "2026-06-16T08:36:35.216", "ingestTimestamp" : "2026-06-16T00:28:18.616", "mongoId" : "6a3059d3f292fd229cf4b2e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f0bf292fd229cf77aa8", "title" : "Program Manager, Foundations Data and Operations", "company" : "OpenAI", "industry" : "Research", "salary" : { "min" : 162000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T10:03:10.589", "fingerprint" : "e8731ede0ca67f1d57b4836bee5734cd93890c04bfedb9ec44ddeed31dfc3765", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/OpenAI/73c24685-3508-489d-aa92-203761e79f19/application", "externalId" : "73c24685-3508-489d-aa92-203761e79f19", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Toronto, Ontario, Canada; San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "ABOUT THE TEAM The Foundations Data and Operations team is responsible for acquiring the data OpenAI needs to build frontier AI models. We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence. - Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans. - Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions. - Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment. - Are highly analytical - sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making. - Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners. - Have excellent communication and cross-functional collaboration skills. - Are passionate about technology and artificial intelligence, and interested in its impact on business and society. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.", "summaryDescription" : "Program Manager, Foundations Data and Operations at OpenAI", "createdAt" : "2026-06-16T00:27:48.493", "lastUpdated" : "2026-06-16T10:03:10.589", "ingestTimestamp" : "2026-06-16T00:27:48.493", "mongoId" : "6a305f0bf292fd229cf77aa8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 162000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e2ce260f92cbf8e960", "title" : "Finance Analyst, MX Marketing and Prime", "company" : "Servicios Comerciales Amazon Mexico S. de R.L. de C.V.", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 725000.0, "max" : 1085000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Finance Analyst in Mexico City, adjusted for the e-commerce industry and full-time employment." }, "location" : "Mexico City, Mexico City, MEX", "locations" : [ "Mexico City, Mexico City, MEX" ], "timestamp" : "2026-06-15T06:42:01.510", "fingerprint" : "80f883843c07061f5e89d2c6f584da7e7e841003a19b17b0f70665e158227d57", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100880/apply", "externalId" : "a51d675e-8168-4253-aa23-778d76c66c48", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, VBA", "professionalSkills" : [ "Financial modeling", "Business acumen", "Strategic thinking", "Analytical insights" ], "hardSkillsList" : [ "Financial analysis", "Forecasting", "Budgeting", "Variance analysis", "P&L measurement" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "P&L measurement", "level" : "intermediate" } ], "majorSkills" : "Financial modeling, Forecasting, P&L analysis", "majorSkillsList" : [ "Financial modeling", "Forecasting", "P&L analysis" ], "coreResponsibilities" : "Create financial metrics, Improve financial metrics, Maintain financial metrics, Measure marketing programs, Establish guardrails, Develop relationships, Implement new processes, Drive continuous improvement, Manage Annual Plans, Manage Forecasts, Manage Month End Close, Manage Variance Analysis", "teamCollaboration" : "Partner with stakeholders; Work with finance leaders; Cross-functional partnership; Partner with product managers; Partner with Marketing; Partner with Prime team; Partner with data scientists; Partner with economists; Partner with BI engineers", "domainKnowledge" : "Marketing finance; Customer acquisition; Customer retention", "domainList" : [ "marketing-finance", "customer-acquisition", "customer-retention" ], "domainSpecificKnowledge" : [ "Marketing finance", "Customer acquisition", "Customer retention" ], "toolProficiency" : [ "Excel", "Access", "Oracle", "Essbase", "SQL", "VBA", "TM1", "Data Warehouse" ], "communicationSkills" : "Communicate findings", "problemSolvingSkills" : "Dealing with ambiguity", "outcomesObjectives" : "Improve planning process; Improve forecasting process", "qualificationsBasic" : "1+ years finance experience, 1+ years KPI analysis, Excel, Access, Oracle, Essbase, SQL, VBA skills, Use data to influence decisions, Corporate finance experience", "qualificationsPreferred" : "2+ years continuous improvement, TM1 experience, Data Warehouse experience, SQL experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Mexico seeks a Senior Financial Analyst to be a key member in our Marketing and Prime Finance team. As a Senior Financial Analyst, you will partner with stakeholders to develop insights and create tools helping assess investment decisions. Also, you will work closely with finance leaders to develop financial models and analytical insights to assist in evaluating new business concepts, turning insights into operational measurements, and identifying paths to improve overall planning and forecasting process. Primary responsibilities include: - Create, improve, and maintain financial metrics, reports and scorecards used for consolidation reports. Measure marketing programs on P&L in a short and long term - Establish guardrails in Marketing and Prime's team willingness to invest in acquiring or retaining customers - Develop relationships with business teams, implement new processes and drive continuous improvement - Annual Plans, Forecasts, Month End Close and Variance Analysis Key job responsibilities · Measure marketing programs on P&L in a short and long term · Develop relationships with business teams, implement new processes and drive continuous improvement . Annual Plans, Forecasts, Month End Close and Variance Analysis A day in the life The Senior Financial Analyst must have solid financial knowledge and business acumen while thinking strategically and dealing with ambiguity, building financial analysis to make recommendations and communicating findings in a clear and concise manner. This role requires cross-functional partnership with product managers, Marketing and Prime team, data scientists, economists, and business intelligence engineers. About the team Inclusive team culture At Amazon we embrace our differences and we are committed to furthering our culture of inclusion. We host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work Life Balance We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional. Basic Qualifications: - 1+ years of finance experience - 1+ years of applying key financial performance indicators (KPIs) to analyses experience - Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL and VBA skills - Experience using data to influence business decisions - Experience in corporate finance including budgeting/planning, forecasting and reporting Preferred Qualifications: - 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - Experience in TM1, Data Warehouse and SQL Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Finance Analyst, MX Marketing and Prime at Servicios Comerciales Amazon Mexico S. de R.L. de C.V.. Skills: Financial modeling, Forecasting, P&L analysis. Create financial metrics. Improve financial metrics", "postedDate" : "2026-06-13T19:29:28.282", "createdAt" : "2026-06-13T19:29:28.282", "lastUpdated" : "2026-06-15T06:42:01.510", "ingestTimestamp" : "2026-06-13T19:29:28.282", "mongoId" : "68e0a7e2ce260f92cbf8e960", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100880/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Financial analysis", "Forecasting", "Budgeting", "Variance analysis", "P&L measurement", "Financial modeling", "P&L analysis", "Business acumen", "Strategic thinking", "Analytical insights", "Marketing finance", "Customer acquisition", "Customer retention", "Excel", "Access", "Oracle", "Essbase", "SQL", "VBA", "TM1", "Data Warehouse" ], "skillCount" : 21, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a8f74d8ee00a090c9ce", "title" : "Sr Director, Data and Application Engineering", "company" : "ABACUS", "industry" : "Technology", "salary" : { "min" : 245000.0, "max" : 375000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Sr Director, Data and Application Engineering in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote in US", "locations" : [ "Remote in US" ], "timestamp" : "2026-06-15T21:47:59.306", "fingerprint" : "7470b233e5544201af654abb5b65c275bc32fcf3e35253199982be98ed3b7f16", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abacustechnology.com/about/careers/current-vacancies/?gh_jid=7726360003", "externalId" : "7726360003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "AI/ML, Data platform, DevOps, Application Development, CI/CD, Automation tooling, ServiceNow development, ServiceNow configuration, AI-powered tools, AI agents", "professionalSkills" : [ "Strategic leadership", "Execution focus", "Technical strategy", "Stakeholder management", "Organizational design", "Team development", "Cross-functional collaboration", "Executive communication" ], "hardSkillsList" : [ "Metrics definition", "KPI tracking", "Risk reporting", "Outcome reporting", "Governance standards", "Compliance standards", "Security standards" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "KPI tracking", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Outcome reporting", "level" : "intermediate" }, { "name" : "Governance standards", "level" : "intermediate" }, { "name" : "Compliance standards", "level" : "intermediate" }, { "name" : "Security standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, Application Development, DevOps, AI Development", "majorSkillsList" : [ "Data Engineering", "Application Development", "DevOps", "AI Development" ], "coreResponsibilities" : "Lead technical teams, Drive engineering initiatives, Oversee practice areas, Align teams to goals, Ensure rigorous practices, Ensure velocity, Ensure collaboration, Build enterprise-grade platforms, Build enterprise-grade solutions, Support career development, Define KPIs, Track KPIs, Report progress, Report risks, Report outcomes, Ensure practices meet governance, Ensure practices meet compliance, Ensure practices meet security, Architect enterprise data platform, Resource enterprise data platform, Deliver data platform capabilities, Structure ServiceNow backlog, Prioritize ServiceNow backlog, Progress ServiceNow development, Identify DevOps automation initiatives, Scope DevOps automation initiatives, Deliver DevOps automation efficiency, Own Abacus portal roadmap, Communicate Abacus portal roadmap, Progress Abacus portal development, Deploy AI solutions, Deliver AI business value, Define team charters, Define team goals, Define team delivery metrics, Reflect cross-team collaboration, Reflect consistent delivery", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; Executive leadership; Service delivery team; Across multiple disciplines", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Regulated environments; Financial services; Healthcare; Managed Services Provider (MSP); ITSM platforms; Data lakes; Lakehouses; Data mesh architectures", "domainList" : [ "regulated-environments", "financial-services", "healthcare", "managed-services-provider-msp", "itsm-platforms", "data-lakes", "lakehouses", "data-mesh-architectures" ], "domainSpecificKnowledge" : [ "Regulated environments", "Financial services", "Healthcare", "Managed Services Provider (MSP)", "ITSM platforms", "Data lakes", "Lakehouses", "Data mesh architectures" ], "toolProficiency" : [ "ServiceNow" ], "communicationSkills" : "Executive communication; Stakeholder management; Compelling communication", "continuousLearning" : "Online courses", "outcomesObjectives" : "Enterprise data platform foundation architected; Enterprise data platform resourced; Enterprise data platform delivering capabilities; ServiceNow development backlog progressing; DevOps automation delivering efficiency; Abacus portal roadmap progressing; AI solutions deployed; AI solutions delivering value; Teams operate with clear charters; Teams operate with clear goals; Teams operate with clear metrics; Engineering culture reflects collaboration; Engineering culture reflects delivery", "qualificationsBasic" : "12+ years software engineering, data engineering, DevOps, 7+ years progressive engineering leadership, Managing managers or multi-team organizations, Delivering enterprise-scale platforms and applications, Working in regulated industries, Translate business objectives into technical strategy", "qualificationsPreferred" : "Experience in Managed Services Provider (MSP), Familiarity with ServiceNow development and configuration, Hands-on data platform architecture, Hands-on AI/ML engineering, Hands-on DevOps automation, Experience with AI governance frameworks, Experience with risk management frameworks, Experience with compliance frameworks, Exposure to enterprise data platform design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Overview We are seeking a highly strategic and execution-focused Sr Director, Data and Application Engineering to lead a broad portfolio of technical teams driving the organization's most critical engineering initiatives. Reporting directly to the Chief Technology Officer (CTO), this leader will oversee four core practice areas — DevOps, Application Development, Data Engineering, and Internal AI Development — and will be responsible for aligning these teams to deliver on the department's strategic goals. As a 1,000-person Managed Services Provider (MSP) serving financial services and healthcare clients, we operate in highly regulated environments that demand secure, compliant, and reliable engineering practices. This leader will ensure all teams operate with the rigor, velocity, and collaboration required to build enterprise-grade platforms and solutions. Reporting Structure Reports to: Chief Technology Officer (CTO) Direct Reports: Engineering leads across DevOps, Application Development, Data Engineering, and AI Development Teams Overseen DevOps Responsible for the infrastructure, CI/CD pipelines, and internal automation capabilities of the organization. This team supports development velocity, reliability, and the continued expansion of automation tooling across internal operations. Application Development Owns the design, development, and ongoing maintenance of internally built applications — most notably the Abacus portal — and supports service delivery initiatives including development and configuration work within ServiceNow. Data Engineering Leads the architecture, construction, and operation of the organization's enterprise data platform, enabling reliable, governed, and scalable data infrastructure across business units. Internal AI Development Drives the development and deployment of AI-powered tools and agents that deliver measurable efficiency gains across the organization. Partners with internal stakeholders to identify, prioritize, and implement AI solutions aligned to business needs. Departmental Goals This role is accountable for organizing and directing all four teams toward the following high-level department objectives: Build and mature the organization's enterprise data platform to support scalable, governed, and insight-ready data infrastructure Assist the service delivery team with the continued development and configuration of ServiceNow to improve ITSM capabilities and operational workflows Expand and integrate the DevOps team's scope to encompass internal automation initiatives, reducing manual effort and improving engineering efficiency across the organization Own the roadmap, development, and ongoing evolution of the internally developed Abacus portal Collaborate with internal stakeholders to identify, prioritize, and deliver AI solutions that drive organizational efficiency and support strategic business outcomes Key Responsibilities Strategic Leadership support career development at all levels Metrics, Reporting & Governance Define and track KPIs across teams (e.g., deployment frequency, platform uptime, data quality, AI adoption, development velocity) Regularly report progress, risks, and outcomes to the CTO and executive leadership Ensure all engineering practices meet governance, compliance, and security standards for regulated environments Qualifications Required 12+ years of experience in software engineering, data engineering, DevOps, or related technical disciplines 7+ years in progressive engineering leadership roles, including managing managers or multi-team organizations Demonstrated experience overseeing multiple, diverse technical teams simultaneously Proven track record of delivering enterprise-scale platforms and applications in production environments Experience working in regulated industries such as financial services, healthcare, or similar Strong ability to translate business objectives into technical strategy and measurable delivery outcomes Excellent executive communication and stakeholder management skills Preferred Experience within a Managed Services Provider (MSP) or services-based technology organization Familiarity with ITSM platforms, particularly ServiceNow development and configuration Hands-on background in one or more of: data platform architecture, AI/ML engineering, or DevOps automation Experience with AI governance, risk management, and compliance frameworks Exposure to enterprise data platform design (e.g., data lakes, lakehouses, data mesh architectures) Key Competencies Strategic vision balanced with pragmatic execution Cross-functional collaboration and executive stakeholder management Organizational design and team development across multiple disciplines Data-driven decision-making and outcomes orientation Clear, compelling communication with both technical and non-technical audiences Ability to lead through ambiguity in a fast-paced, evolving environment Success Metrics (First 12–18 Months) Enterprise data platform foundation is architected, resourced, and delivering initial capabilities ServiceNow development backlog is structured, prioritized, and progressing in partnership with service delivery DevOps automation initiatives are identified, scoped, and delivering measurable efficiency gains Abacus portal roadmap is owned, communicated, and actively progressing At least 2–3 AI solutions are deployed and delivering measurable business value All four engineering teams operate with clear charters, goals, and delivery metrics Engineering culture reflects strong cross-team collaboration and consistent delivery practices Why This Role Matters This role sits at the intersection of platform, product, data, and AI — and is central to the organization's ability to scale, innovate, and operate with excellence. The Senior Director of Engineering will unify four critical engineering functions under a shared vision, accelerating the delivery of the enterprise data platform, modernizing internal tooling, and embedding AI-driven efficiency into the organization's core operations. This is a high-visibility, high-impact leadership role with direct line of sight to the CTO and meaningful influence over the company's long-term technical direction. Benefits of Working for Abacus: Exposure to diverse array of technologies Part of a team of experienced engineers who aim to deliver exceptional service Competitive compensation Performance bonus Robust benefits package: medical, dental, vision, disability, life insurance, 401k, and PTO Opportunities to further technical education through online courses Positive, friendly, supportive work environment", "summaryDescription" : "Sr Director, Data and Application Engineering at ABACUS. Skills: Data Engineering, Application Development, DevOps, AI Development. Lead technical teams. Drive engineering initiatives", "postedDate" : "2026-06-14T19:15:30.605", "createdAt" : "2026-06-14T19:15:30.605", "lastUpdated" : "2026-06-15T21:47:59.306", "ingestTimestamp" : "2026-06-14T19:15:30.605", "mongoId" : "6a2c6a8f74d8ee00a090c9ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 245000, "salaryAnnualMax" : 375000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Metrics definition", "KPI tracking", "Risk reporting", "Outcome reporting", "Governance standards", "Compliance standards", "Security standards", "Leadership", "Data Engineering", "Application Development", "DevOps", "AI Development", "Strategic leadership", "Execution focus", "Technical strategy", "Stakeholder management", "Organizational design", "Team development", "Cross-functional collaboration", "Executive communication", "Roadmap planning", "Prioritization", "Regulated environments", "Financial services", "Healthcare", "Managed Services Provider (MSP)", "ITSM platforms", "Data lakes", "Lakehouses", "Data mesh architectures", "ServiceNow" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "managing interpreting and presenting clinical and marketing data jobs", "metadata" : { "title" : "managing interpreting and presenting clinical and marketing data" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 150024, "totalPages" : 3001, "hasNext" : true, "hasPrevious" : false } }

Remote Managing Interpreting And Presenting Clinical And Marketing Data Jobs

Top Skills

Managing Director, Marketing

Managing Director, Marketing

Data and AI Marketing Intern

Managing Attorney, Programs and Subcontract Administration (PSA)

Marketing Manager and PM

CRM and Data Manager

Business and Marketing Data Scientist, Applied Machine Learning

Data and AI Consultant

Marketing Manager, Global Agency and Partner Marketing

Senior Data and Analytics Engineer

Manager, International Data and Strategy

Data and Analytics Architect

Director, Data and AI Engineering

Marketing and Events Analyst - (VN2861)

Strategy and Operations Manager, Global Ads and Commerce Marketing

Director, Data and AI Engineering

Director, Data Management and Systems

Head of Marketing Strategy and Operations

Marketing Event and Trade Show Manager

Director of Marketing and Communications

Senior Data and Platform Engineer

Director of Marketing and Communications

AVP, Sports And Talent Marketing

Utility Data and Modeling Analyst

Sign Language Interpreting Specialist

T6_Chief Data and AI Architect

Summer Intern – Marketing and Communications

Nursing Clinical Educator - VICU and MICU

Director, Customer and Growth Product Marketing

Channel and Field Marketing Manager, DACH

Senior Customer and Product Marketing Manager

Clinical Data Analyst

Project Lead - Data and Analytics

Clinical Data Specialist

Marketing and Communications Director

Website and Content Marketing Manager

Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning

Clinical Trainer and Auditor

Managing Engineer

Business Analyst, Data Masking and Compliance

Managing Director

Managing Attorney

Marketing and Communications Director

Solutions Architect IV- Data and Analytics

Lead Product Manager, Data and AI

Growth Marketing Manager- Affiliates and Referrals

Program Manager, Foundations Data and Operations

Program Manager, Foundations Data and Operations

Finance Analyst, MX Marketing and Prime

Sr Director, Data and Application Engineering

Related Searches

All Managing Interpreting And Presenting Clinical And Marketing Data Jobs by City

More Remote Jobs

Common Questions