{ "count" : 90888, "data" : [ { "id" : "69fe94fd4c40e2acd1121791", "title" : "Data Scientist II, Long Term Planning and Forecasting", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-16T00:44:32.292", "fingerprint" : "30363cce4cbbbfb6d346562ad087237464169b6b482c56f541fd8376bed16332", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414903/apply", "externalId" : "0f59ecb9-2d1f-4cd5-8701-15cd9386fcc9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, R, Spark, AWS, GCP, Azure, SageMaker, BigQuery, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker, Snowflake, Redshift, Databricks, Dbt, Airflow, Delta Lake", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Predictive modeling", "Time series analysis", "A/B testing", "Causal inference", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning algorithms", "Data manipulation", "Data visualization", "Experiment design", "Causal inference methods" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" }, { "name" : "Causal inference methods", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Perform statistical analysis and modeling, Build and maintain business intelligence dashboards, Collaborate with engineering teams, Communicate findings to stakeholders, Conduct A/B testing and analyze results, Develop predictive models for long-term planning, Forecast future trends and business performance, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product managers; Business stakeholders", "domainKnowledge" : "Long-term planning; Forecasting methodologies; E-commerce analytics", "domainList" : [ "long-term-planning", "forecasting-methodologies", "e-commerce-analytics" ], "domainSpecificKnowledge" : [ "Long-term planning", "Forecasting methodologies", "E-commerce analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "SageMaker", "BigQuery", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker", "Snowflake", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve long-term planning accuracy; Enhance business forecasting capabilities; Drive data-informed business decisions", "qualificationsBasic" : "5+ years of experience in data science or related field, Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, Proficiency in SQL, Experience with data modeling and statistical analysis", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with large-scale data processing frameworks (e.g., Spark), Experience with cloud platforms (AWS, GCP, Azure), Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data visualization tools (e.g., Tableau, Power BI)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Scientist to drive scientific tooling supporting how Amazon's business customers interact with LTPF forecasts and plans. As a science leader within the LTPF, you will be responsible for building to the multi-year roadmap for customer engagement, ensuring that business stakeholders across Amazon can seamlessly access, understand, and act upon our forecasting outputs. In this role, you will manage the lifecycle of complex, cross-functional programs that transform how Operations, Stores, and Finance teams leverage LTPF insights for strategic decision-making. You will work with scientists, economists, engineers, and business customers to architect the customer interaction experience, including viewing capabilities, auditing tools, what-if analysis frameworks, and forecast intervention workflows. This role might be for you if you have interest and experience in: - Leading large, cross-functional planning and strategy workstreams that impact Amazon's topline growth - Defining multi-year program vision and strategy while balancing short-term execution - Regularly presenting to VP and SVP level leaders - Prioritizing operational excellence work alongside feature delivery on a roadmap - Showing strong business acumen with strategic, analytical, and critical thinking - Managing planning calendars and strategic review mechanisms - Driving organizational alignment across multiple teams and stakeholders Key job responsibilities As a Data Scientist in LTPF (Long-Term Planning & Forecasting): - You will develop causal inference models, automated explainability frameworks, and variance bridging methodologies that translate LTPF's forecasts and plans into actionable business intelligence. - Your work will enable leadership to understand why forecasts and actuals diverge, what is driving demand shifts, and how strategic decisions propagate through the planning ecosystem. - You will build automated Plan-vs-Actual and Actual-vs-Actual variance decomposition models that quantify the contribution of individual demand drivers to observed gaps across revenue, price, units, inventory, and capacity metrics at multiple granularities to serve audiences from working-level analysts to VP-level planning reviews cycles. - You will build and maintain a causal model library with standardized hypothesis generation and validation pipelines, applying techniques from causal inference, time-series econometrics, and Bayesian methods. Each model will include calibrated confidence scoring and reusable components that scale across worldwide marketplaces. - You will develop GenAI-powered narrative generation capabilities that synthesize quantitative variance outputs into human-readable performance summaries and design automated hypothesis ranking to determine which demand drivers are most responsible for observed forecast error. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazon's most important strategic questions: Where will Amazon's growth come from in the next year? What about over the next five years? Which product lines are poised to grow significantly? Are we investing appropriately in our infrastructure? How do our customers react to changes in prices, product selection, or delivery times? Are our infrastructure investments optimal for the level of demand we expect? Basic Qualifications: - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 1+ years of guiding and coaching a group of researchers experience - 1+ years of working with or evaluating AI systems experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Experience applying theoretical models in an applied environment Preferred Qualifications: - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl, or another scripting language - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience effectively communicating complex concepts through written and verbal communication 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 153,400.00 - 207,500.00 USD annually USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Data Scientist II, Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Data Engineering. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-14T19:36:58.335", "createdAt" : "2026-06-14T19:36:58.335", "lastUpdated" : "2026-06-16T00:44:32.292", "ingestTimestamp" : "2026-06-14T19:36:58.335", "mongoId" : "69fe94fd4c40e2acd1121791", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414903/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 184000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Machine learning algorithms", "Data manipulation", "Data visualization", "Experiment design", "Causal inference methods", "Data Science", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Predictive modeling", "Time series analysis", "A/B testing", "Causal inference", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Long-term planning", "Forecasting methodologies", "E-commerce analytics", "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "SageMaker", "BigQuery", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker", "Snowflake", "Redshift", "Databricks", "Dbt", "Airflow", "Delta Lake" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2b415174d8ee00a0799794", "title" : "Planning and Forecasting Finance Analyst", "company" : "GSK", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Planning and Forecasting Finance Analyst in Warsaw, Poland, adjusted for the pharmaceutical industry and company size." }, "location" : "Warsaw", "locations" : [ "Warsaw", "Poland" ], "certifications" : [ "ACCA", "CIMA", "CPA" ], "timestamp" : "2026-06-14T18:34:51.182", "fingerprint" : "36bb0cfed70812ca658e71bf2ee91ce4fe015b59fbd40a2b9744dde26ef34dec", "source" : "workday", "language" : "en", "applyUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Warsaw/Planning-and-Forecasting-Finance-Analyst_442694-1", "externalId" : "442694", "industryFunction" : { }, "locationPoint" : "40.35921,-91.4346", "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 2, "technicalSkills" : "Excel", "professionalSkills" : [ "Financial planning", "Forecasting", "Budgeting", "Financial modelling", "Variance analysis", "Process improvement", "System improvement" ], "hardSkillsList" : [ "Financial modelling", "Variance analysis", "Scenario analysis", "Sensitivity analysis" ], "softSkillsList" : [ "Curiosity", "Clear communication", "Attention to detail", "Willingness to learn", "Continuous improvement" ], "hardSkills" : [ { "name" : "Financial modelling", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Scenario analysis", "level" : "intermediate" }, { "name" : "Sensitivity analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Clear communication" }, { "name" : "Attention to detail" }, { "name" : "Willingness to learn" }, { "name" : "Continuous improvement" } ], "majorSkills" : "Financial planning, Forecasting, Budgeting, Management reporting", "majorSkillsList" : [ "Financial planning", "Forecasting", "Budgeting", "Management reporting" ], "coreResponsibilities" : "Maintain and update financial models to deliver monthly, Consolidate inputs from local and regional teams and, Analyse variances between actuals, budgets and forecasts and, Produce monthly management reports and materials to support, Run scenario and sensitivity analyses to assess risks, Propose and support process and system improvements to", "teamCollaboration" : "Finance teams; Commercial teams; Regional teams; Leadership decisions", "domainKnowledge" : "Pharmaceutical finance; Healthcare finance; Life sciences finance; Consumer goods finance; Driver-based forecasting; Budgeting cycles; Variance analysis", "domainList" : [ "pharmaceutical-finance", "healthcare-finance", "life-sciences-finance", "consumer-goods-finance", "driver-based-forecasting", "budgeting-cycles", "variance-analysis" ], "domainSpecificKnowledge" : [ "Pharmaceutical finance", "Healthcare finance", "Life sciences finance", "Consumer goods finance", "Driver-based forecasting", "Budgeting cycles", "Variance analysis" ], "toolProficiency" : [ "Excel", "SAP", "SAP Analytics Cloud", "Power BI", "Tableau" ], "communicationSkills" : "Management reports; Leadership decisions", "continuousLearning" : "Personalized learning approach; Mentoring; Online training platforms; External training", "problemSolvingSkills" : "Analyse variances; Assess risks; Assess opportunities; Process improvements; System improvements", "outcomesObjectives" : "Increase accuracy; Increase efficiency", "qualificationsBasic" : "Bachelor's degree in Finance, Accounting, Economics, Business or related field, 1–2 years’ experience in financial planning, forecasting, budgeting or related finance work, Excel skills including formulas, pivot tables and basic financial modelling, Good written and spoken English, Ability to meet deadlines while maintaining attention to detail, Collaborative mindset and willingness to learn and support continuous improvement", "qualificationsPreferred" : "Experience with SAP, SAP Analytics Cloud, Power BI, Tableau or similar tools, Progress toward or completion of a professional finance qualification (ACCA, CIMA, CPA), Experience in pharmaceutical, healthcare, life sciences or consumer goods finance, Familiarity with driver-based forecasting, budgeting cycles and variance analysis, Experience preparing reports for senior stakeholders and supporting decision making, Experience in automation or reporting improvement initiatives", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "You will support planning and forecasting for GSK in Poland. You will work closely with finance, commercial and regional teams to prepare and challenge monthly and annual forecasts. You will analyse performance, create clear management reports, and help improve forecasting processes. We value curiosity, clear communication and collaboration. This role offers strong learning, visible impact and and a clear path to grow while contributing to GSK’s mission of uniting science, technology and talent to get ahead of disease together. _**Key responsibilities:**_ * Maintain and update financial models to deliver monthly and quarterly forecasts. * Consolidate inputs from local and regional teams and coordinate planning cycles. * Analyse variances between actuals, budgets and forecasts and provide clear explanations. * Produce monthly management reports and materials to support leadership decisions. * Run scenario and sensitivity analyses to assess risks and opportunities. * Propose and support process and system improvements to increase accuracy and efficiency. _Why You? Basic Qualification:_ * Bachelor’s degree in Finance, Accounting, Economics, Business or a related field. * 1–2 years’ experience in financial planning, forecasting, budgeting or related finance work. * Strong Excel skills including formulas, pivot tables and basic financial modelling. * Good written and spoken English for collaboration across teams. * Ability to meet deadlines while maintaining attention to detail. * Collaborative mindset and willingness to learn and support continuous improvement. _**Preferred Qualification:**_ * Experience with SAP, SAP Analytics Cloud, Power BI, Tableau or similar tools. * Progress toward or completion of a professional finance qualification (for example ACCA, CIMA, CPA). * Experience in pharmaceutical, healthcare, life sciences or consumer goods finance. * Familiarity with driver-based forecasting, budgeting cycles and variance analysis. * Experience preparing reports for senior stakeholders and supporting decision making. * Experience in automation or reporting improvement initiatives. **Working model** This role is hybrid. You will be expected to work from our Poland office regularly and be available for in-person collaboration. _**Why GSK?**_ Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. * Career at one of the leading global healthcare companies. * Contract of employment. * Attractive reward package (annual bonus & awards for outstanding performance, recognition awards for additional achievements and engagement, holiday benefit). * Life insurance and pension plan. * Private medical package with additional preventive healthcare services for employees and their eligible. * Sports cards (Multisport). * Possibilities of development within the role and company’s structure. * Personalized learning approach (mentoring, online training’ platforms: Pluralsight, Business Skills, Harvard Manage Mentor, Skillsoft and external training). * Extensive support of work life balance (flexible working solutions, short Fridays option, health & well-being activities). * Supportive community and integration events. * Modern office with creative rooms, fresh fruits everyday. * Free car and bike parking, locker rooms and showers. #LI-GSK #LI-HYBRID Polish Salary Range / Polski przedział wynagrodzenia: PLN 89,250 to PLN 148,750The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.Roczny przedział wynagrodzenia zasadniczego brutto dla nowo zatrudnionych osób na tym stanowisku został wskazany powyżej dla każdej właściwej lokalizacji. Przedziały te uwzględniają szereg czynników, w tym umiejętności kandydata, doświadczenie, poziom wykształcenia oraz rynkowy poziom wynagrodzenia dla tego stanowiska W zależności od stanowiska i obowiązujących polityk wewnętrznych, rola ta może również uprawniać do otrzymania premii (jeśli ma zastosowanie i jest przyznawana na podstawie określonych, obiektywnych kryteriów) oraz/lub nagród za wyjątkowe wyniki (przyznawanych według uznania pracodawcy). Wszystkie świadczenia ustawowe będą zapewnione zgodnie z przepisami prawa polskiego. Mogą być także oferowane dodatkowe benefity, takie jak prywatna opieka medyczna, dodatkowe płatne dni wolne, ubezpieczenie na życie, prywatny plan emerytalny oraz w pełni płatny urlop rodzicielski i urlop na opiekę nad członkiem rodziny. Bardziej szczegółowe informacje na temat całkowitego pakietu wynagrodzenia i świadczeń przypisanego do tego stanowiska zostaną przekazane podczas procesu rekrutacyjnego. Przedziały wynagrodzenia dla innych krajów mogą być również widoczne, ponieważ na niektórych rynkach obowiązują przepisy dotyczące jawności wynagrodzeń, które wymagają zamieszczania takich informacji w ogłoszeniach o pracę, a wskazane lokalizacje mogą stanowić potencjalne miejsce wykonywania tej roli. Jeśli przedział wynagrodzenia nie jest podany w ogłoszeniu dla konkretnej lokalizacji lub kraju, odpowiednie informacje o wynagrodzeniu zostaną omówione w trakcie procesu rekrutacyjnego. Prosimy pamiętać, że poziom wynagrodzenia różni się w zależności od kraju i jest ustalany na podstawie umiejętności, doświadczenia, poziomu wykształcenia oraz rynkowego poziomu wynagrodzenia dla danego stanowiska. Oferty są zazwyczaj przedstawiane w granicach wskazanego przedziału, z uwzględnieniem umiejętności, doświadczenia i kwalifikacji kandydata, przy czym górna granica jest zwykle zarezerwowana dla kandydatów o bardzo dużym doświadczeniu lub w innych wyjątkowych okolicznościach zgodnych z tymi kryteriami. As an Inclusive employer, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at [_pl.recruitment-adjustments @gsk.com_](mailto:pl.recruitment-adjustments@gsk.com) to discuss your needs. **** **Why GSK?** **Uniting science, technology and talent to get ahead of disease together.** GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. **Important notice to Employment businesses/ Agencies** GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at [_https://openpaymentsdata.cms.gov/_](https://openpaymentsdata.cms.gov/)", "summaryDescription" : "Planning and Forecasting Finance Analyst at GSK. Skills: Financial planning, Forecasting, Budgeting, Management reporting. Maintain and update financial models to deliver monthly. Consolidate inputs from local and regional teams and", "postedDate" : "2026-06-12T04:47:10.267", "createdAt" : "2026-06-12T04:47:10.243", "lastUpdated" : "2026-06-14T18:34:51.182", "ingestTimestamp" : "2026-06-12T04:47:10.243", "mongoId" : "6a2b415174d8ee00a0799794", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Warsaw/Planning-and-Forecasting-Finance-Analyst_442694-1", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Financial modelling", "Variance analysis", "Scenario analysis", "Sensitivity analysis", "Curiosity", "Clear communication", "Attention to detail", "Willingness to learn", "Continuous improvement", "Financial planning", "Forecasting", "Budgeting", "Management reporting", "Process improvement", "System improvement", "Pharmaceutical finance", "Healthcare finance", "Life sciences finance", "Consumer goods finance", "Driver-based forecasting", "Budgeting cycles", "ACCA", "CIMA", "CPA", "Excel", "SAP", "SAP Analytics Cloud", "Power BI", "Tableau" ], "skillCount" : 29, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a30593bf292fd229cf45ffc", "title" : "Factory Planning and Expansion Lead", "company" : "Skydio", "industry" : "Operations", "salary" : { "min" : 215000.0, "max" : 305000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Factory Planning and Expansion Lead in Hayward, United States, adjusted for the technology industry and company size." }, "location" : "Hayward, California, United States", "locations" : [ "Hayward, California, United States" ], "timestamp" : "2026-06-16T15:08:35.224", "fingerprint" : "ae34dc0bd2f34ed9505c9a46ab32f3ef94c586bfda6164d112e3fe6fff34feb7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skydio/d5e0daff-ea01-43e4-ad9d-b43f61a0f79d/application", "externalId" : "d5e0daff-ea01-43e4-ad9d-b43f61a0f79d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hayward", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6688205,-122.0807960" } ], "locationText" : "Hayward, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "rawDescription" : "Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions. About the role: We are seeking a highly experienced Factory Planning & Expansion Lead to drive the end-to-end planning, factory layout, and support construction of new manufacturing facilities and expansions of existing sites. This role is heavily focused on factory design, layouts, and space planning requiring deep expertise in capital projects, site development, contractor management, and industrial building systems. You will lead complex, large-scale factory design from concept through commissioning, ensuring projects are delivered on time, within budget, and to operational requirements. How you'll make an impact: Factory Expansion & Construction Leadership - Support as needed all phases of factory expansion projects, including site selection support, feasibility, design coordination, construction, and commissioning - Serve as the owner’s representative for all construction activities, ensuring alignment with business and production goals - Develop and manage project scopes, schedules, budgets, and capital expenditure plans as it pertains to factory equipment and facility requirements Construction Management - Support as needed general contractors, subcontractors, architects, and engineering firms - Support construction execution, including site development, civil works, structural, MEP (mechanical, electrical, plumbing), and utilities infrastructure - Conduct regular site inspections to monitor progress, quality, and safety compliance to ensure ensure factory deliverables Design & Planning Integration - Collaborate with manufacturing, process engineering, and operations teams to translate production needs into facility requirements - Ensure factory layouts, workflows, and utilities are integrated into construction plans - Review and approve design drawings, specifications, and construction documents Project Delivery & Controls - Implement strong project governance, including risk management, cost control, and schedule tracking - Identify and mitigate construction risks, delays, and cost overruns Commissioning & Handover - Oversee commissioning of facilities, ensuring readiness for manufacturing operations - Drive punch list completion, final inspections, and occupancy approvals - Ensure smooth transition from construction to operations What makes you a strong fit: - Bachelor’s degree in Construction Management, Civil Engineering, Architecture, or related field (Master’s preferred) - 10+ years of experience in industrial construction or capital projects, with significant exposure to aerospace or high-spec manufacturing environments - Proven track record delivering large-scale manufacturing facilities, hangars, or precision production spaces - Strong expertise in construction project management, contracts, and site execution - Deep understanding of industrial building systems (MEP, utilities, clean rooms, etc. as applicable) - Experience working in fast-paced, high-growth manufacturing environments is a plus - Previous industrial experience, mechanical & infrastructure intense projects - Experience with factory automation or advanced manufacturing environments - Familiarity with lean factory design or production flow optimization - Experience with sustainability, energy systems, or green building standards (LEED, etc.) - Strong knowledge of industrial factory design, MEP systems, and site development Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $147,000 - $210,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *Compensation for certain positions may vary based on the position’s location. #LI-JC1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/", "summaryDescription" : "Factory Planning and Expansion Lead at Skydio", "createdAt" : "2026-06-16T00:29:40.432", "lastUpdated" : "2026-06-16T15:08:35.224", "ingestTimestamp" : "2026-06-16T00:29:40.432", "mongoId" : "6a30593bf292fd229cf45ffc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 305000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305109f292fd229cef87e3", "title" : "Associate Manager - Communication Planning and Strategy", "company" : "aCommerce", "industry" : "E-Commerce", "salary" : { "min" : 900000.0, "max" : 1500000.0, "currency" : "THB", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Bangkok, Thailand, adjusted for Associate Manager seniority and full-time employment." }, "location" : "Bangkok, Thailand", "locations" : [ "Bangkok", "Thailand" ], "timestamp" : "2026-06-16T10:06:16.484", "fingerprint" : "10550f3bcccd1b436a3bd68fabdefa87ba2d16d83ffd77f2cef8d4cb020ce796", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/acommerce/jobs/8007364", "externalId" : "8007364", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangkok", "country" : "Thailand", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.7524938,100.4935089" } ], "locationText" : "Bangkok, Thailand", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceLevel" : "Manager", "technicalSkills" : "Microsoft Office, Google Sheets, Google Slides", "professionalSkills" : [ "Influencer marketing", "KOL engagement", "Affiliate marketing", "Content optimization" ], "hardSkillsList" : [ "Data analysis", "Performance reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" } ], "majorSkills" : "Influencer marketing, KOL management, Affiliate marketing, TikTok content", "majorSkillsList" : [ "Influencer marketing", "KOL management", "Affiliate marketing", "TikTok content" ], "coreResponsibilities" : "Identify KOLs, Manage KOL relationships, Coordinate KOL campaigns, Develop KOL briefs, Review KOL content, Monitor campaign performance, Manage KOL budgets, Track campaign effectiveness, Compile KOL reports, Develop affiliate strategies, Recruit affiliate partners, Manage affiliate relationships, Optimize affiliate content", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Beauty; FMCG; Skincare trends", "domainList" : [ "beauty", "fmcg", "skincare-trends" ], "domainSpecificKnowledge" : [ "Beauty", "FMCG", "Skincare trends" ], "innovationCreativity" : "Generate new ideas", "outcomesObjectives" : "Enhance brand visibility; Drive brand awareness; Drive sales; Maximize marketing impact; Align with ROI objectives", "qualificationsBasic" : "Bachelor's degree in Marketing, Minimum 2 years experience", "rawDescription" : "Job purpose The KOL and Affiliate Specialist is responsible for identifying, managing, and maintaining relationships with KOLs and affiliate partners to enhance brand visibility, engagement, and sales. This role involves executing influencer marketing and affiliate campaigns, optimizing content for TikTok, and leveraging data insights to drive performance. The specialist will collaborate with cross-functional teams to ensure brand consistency and maximize marketing impact. Job Responsibilities KOLs: Identifying and Managing KOL Relationships - Research and stay updated on trends to identify KOLs that align with the brand’s target audience and image (Beauty & FMCG).Build and maintain strong relationships with KOLs to ensure long-term collaboration. - Act as the main point of contact, managing communication and coordination throughout campaigns. Campaign Execution & Coordination - Develop and implement marketing campaigns with KOLs to drive brand awareness and sales. - Prepare detailed campaign briefs to KOLs. - Review and analyze KOL content, ensuring alignment with brand guidelines before client approval. - Monitor campaign performance and ensure smooth execution within the planned timeline. - Generate new ideas and contribute to strategic projects as assigned. Budget & Performance Management - Manage and allocate budgets effectively for KOL campaigns. - Track and evaluate campaign effectiveness, ensuring alignment with ROI objectives. Reporting & Insights - Compile reports and provide insights to optimize future KOL collaborations and campaign strategies. Affiliate Marketing: Affiliate Marketing Strategy & Management - Develop and execute affiliate marketing strategies to enhance brand visibility and sales on TikTok. - Identify and recruit TikTok influencers and content creators to join the affiliate program. - Build and maintain strong relationships with affiliate partners, providing support, guidance, and incentives to drive performance. - Collaborate with affiliates to create and optimize TikTok content that aligns with brand messaging. Key Requirements Education & Experience: - Bachelor’s degree in Marketing, Communications, or a related field. - Minimum of 2 years of experience in Influencer Marketing or KOL Management. Skills: - Strong understanding of influencer marketing, KOL engagement, and social media trends. - Creative mindset to develop engaging and compelling video content. - Excellent communication and coordination skills. - Ability to analyze data and generate performance reports. - Proficiency in Microsoft Office, Google Sheets, and Google Slides. Personal Attributes: - Creative and adaptable mindset with a flexible approach to work. - Detail-oriented and well-organized in managing multiple projects. - Passionate about skincare and beauty trends.", "summaryDescription" : "Associate Manager - Communication Planning and Strategy at aCommerce. Skills: Influencer marketing, KOL management, Affiliate marketing, TikTok content. Identify KOLs. Manage KOL relationships", "postedDate" : "2026-06-15T23:15:48.998", "createdAt" : "2026-06-15T23:15:48.998", "lastUpdated" : "2026-06-16T10:06:16.484", "ingestTimestamp" : "2026-06-15T23:15:48.998", "mongoId" : "6a305109f292fd229cef87e3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Performance reporting", "Influencer marketing", "KOL management", "Affiliate marketing", "TikTok content", "KOL engagement", "Content optimization", "Beauty", "FMCG", "Skincare trends" ], "skillCount" : 11, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f87f292fd229cfe9c21", "title" : "Manager, Cleaning and Waste Planning & Integration", "company" : "LA28", "industry" : "Sports & Fitness", "salary" : { "min" : 88000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "certifications" : [ "PMP Certification" ], "timestamp" : "2026-06-16T12:03:59.329", "fingerprint" : "5ea1c9f6db1c731dc9b01b7893f337886d02eae0542a20df0717a0ee98759d1a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/la2028/jobs/7770762003", "externalId" : "7770762003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "MS Project, Asana, Jira", "professionalSkills" : [ "Cross-functional initiatives", "Stakeholder management", "Action-tracking" ], "hardSkillsList" : [ "Planning processes", "Reporting tools" ], "hardSkills" : [ { "name" : "Planning processes", "level" : "intermediate" }, { "name" : "Reporting tools", "level" : "intermediate" } ], "majorSkills" : "Planning, Integration, Event delivery", "majorSkillsList" : [ "Planning", "Integration", "Event delivery" ], "coreResponsibilities" : "Manage cleaning planning, Manage waste planning, Manage integration, Perform other duties, Evolve operational responsibilities", "teamCollaboration" : "Cross-functional initiatives; Multiple stakeholders", "projectManagementSkills" : [ "Project management", "Program management", "Planning", "Event delivery" ], "domainKnowledge" : "Olympic Games; Paralympic Games; Major event delivery; Venue operations; Logistics; Hospitality; Transportation", "domainList" : [ "olympic-games", "paralympic-games", "major-event-delivery", "venue-operations", "logistics", "hospitality", "transportation" ], "domainSpecificKnowledge" : [ "Olympic Games", "Paralympic Games", "Major event delivery", "Venue operations", "Logistics", "Hospitality", "Transportation" ], "toolProficiency" : [ "MS Project", "Asana", "Jira" ], "communicationSkills" : "Facilitation", "specialRequirements" : "Work onsite, Office setting, Open floorplan, Work evenings, Work weekends, Work holidays, Peak event periods", "qualificationsBasic" : "5+ years project management, 5+ years program management, 5+ years planning, 5+ years consulting, 5+ years large-scale event delivery, Manage complex cross-functional initiatives, Develop schedules, Develop reporting tools, Develop planning processes, Bachelor's degree in Business/Project Management, Bachelor's degree in Operations Management, Bachelor's degree in Engineering, Bachelor's degree in Logistics, Bachelor's degree in Event Management, Bachelor's degree in a related field", "qualificationsPreferred" : "Master Degree in related field, PMP Certification, Experience leveraging AI-enabled workplace tools, Experience leveraging productivity tools, Venue operations experience, Major events experience, Logistics experience, Hospitality experience, Transportation experience, Similar operational environments experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LA28 does not provide relocation assistance. LA28 is the independent, non-profit, privately funded organizing committee for the Los Angeles 2028 Olympic and Paralympic Games. We are on a singular mission to create an Olympic and Paralympic Games that celebrate all that this city and country have to offer, delivering an unparalleled experience for athletes, fans, partners and our community. The 2028 Games mark the return of the Summer Games to the U. S. for the first time in 32 years and Los Angeles’ third time hosting an Olympic Games and first time welcoming the Paralympic Games. This presents the unique and exciting opportunity to celebrate our legacy with the Games and push the Olympic and Paralympic Movements forward, writing a new chapter of Games history in Los Angeles. Putting on an Olympic and Paralympic Games is a team sport. To build a Games unlike any the world has seen before, we need the best team in place–a team full of diverse perspectives, experiences and expertise. We are guided by the following set of values and behaviors–optimism, integrity, excellence, inclusion, co-creation and boldness–and look forward to hearing about how your past experiences align with them. Manager, Cleaning and Waste Planning MS Project, Asana, Jira, or similar platforms). Experience leveraging AI-enabled workplace and productivity tools preferred. Exceptional organizational skills with strong attention to detail and follow-through. Strong stakeholder management, communication, facilitation, and action-tracking capabilities. Ability to manage multiple priorities and deliver results in a fast-paced, evolving environment. Experience: 5+ years in project management, program management, planning, consulting, or large-scale event delivery. Managing complex cross-functional initiatives with multiple stakeholders and competing priorities. Developing schedules, reporting tools, and planning processes. Venue operations, major events, logistics, hospitality, transportation, or similar operational environments preferred. Olympic, Paralympic or other major event experience preferred Education: Bachelors degree in Bachelor's degree in Business/Project Management, Operations Management, Engineering, Logistics, Event Management, or a related field  required Master Degree in related field preferred PMP Certification preferred Physical Requirements and Working Conditions: Available to work onsite in our Downtown Los Angeles-based office.   The majority of work will be conducted in an office setting, requiring extended periods of time using computers, phones, and other office equipment.    The LA28 office is an open floorplan working environment; employees must be able to work efficiently in an open cubicle environment.    Hours of work may vary, including evenings, weekends, and holidays, especially during peak event periods.  Perform other duties as required; the role will evolve over time and may include operational responsibilities during the Olympic and Paralympic Games. The annual base salary range for this position is $88,000.00 - $115,000.00. The pay scale provided is the range that LA28 reasonably expects to pay as starting base compensation for this role. All LA28 compensation remains subject to final determination based on individual candidate qualifications, experience, or other reasonable criteria consistent with LA28’s operational business needs and applicable law. LA28 does not provide relocation assistance. LA28 is committed to fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. LA28 will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring Ordinance and all applicable laws. We strive to build a team that is inclusive and encourage qualified candidates of all backgrounds, perspectives, and identities to apply. We assess applications based on relevant skills, education, and experience a candidate can add to our team.", "summaryDescription" : "Manager, Cleaning and Waste Planning & Integration at LA28. Skills: Planning, Integration, Event delivery. Manage cleaning planning. Manage waste planning", "postedDate" : "2026-06-16T01:15:44.424", "createdAt" : "2026-06-16T01:15:44.424", "lastUpdated" : "2026-06-16T12:03:59.329", "ingestTimestamp" : "2026-06-16T01:15:44.424", "mongoId" : "6a306f87f292fd229cfe9c21", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 88000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Planning processes", "Reporting tools", "Planning", "Integration", "Event delivery", "Cross-functional initiatives", "Stakeholder management", "Action-tracking", "Project management", "Program management", "Olympic Games", "Paralympic Games", "Major event delivery", "Venue operations", "Logistics", "Hospitality", "Transportation", "PMP Certification", "MS Project", "Asana", "Jira" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b2cf292fd229cf5a2d1", "title" : "Manager, Cleaning and Waste Planning & Integration", "company" : "LA28", "industry" : "Sports & Fitness", "salary" : { "min" : 88000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Los Angeles, California, United States", "locations" : [ "Los Angeles", "California", "United States" ], "certifications" : [ "PMP Certification" ], "timestamp" : "2026-06-16T08:14:43.017", "fingerprint" : "a2fce7df56604f8201b4638b729b8ca8fb9791c392c03eaeb540543ee237a8db", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/la28careers/jobs/7772720003", "externalId" : "7772720003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Project management", "Program management", "Planning", "Consulting", "Event delivery", "Cross-functional initiatives", "Stakeholder management", "Action-tracking" ], "majorSkills" : "Planning, Integration, Waste management, Cleaning operations", "majorSkillsList" : [ "Planning", "Integration", "Waste management", "Cleaning operations" ], "coreResponsibilities" : "Plan cleaning operations, Plan waste operations, Integrate cleaning plans, Integrate waste plans, Develop schedules, Develop reporting tools, Develop planning processes, Manage multiple priorities, Deliver results, Perform other duties, Evolve role responsibilities, Manage operational responsibilities during Games", "teamCollaboration" : "Cross-functional initiatives; Multiple stakeholders", "projectManagementSkills" : [ "Project management", "Program management", "Planning", "Scheduling" ], "domainKnowledge" : "Venue operations; Major events; Logistics; Hospitality; Transportation; Olympic Games; Paralympic Games", "domainList" : [ "venue-operations", "major-events", "logistics", "hospitality", "transportation", "olympic-games", "paralympic-games" ], "domainSpecificKnowledge" : [ "Venue operations", "Major events", "Logistics", "Hospitality", "Transportation", "Olympic Games", "Paralympic Games" ], "toolProficiency" : [ "MS Project", "Asana", "Jira" ], "specialRequirements" : "Work onsite, Work in open floorplan, Work evenings, Work weekends, Work holidays", "qualificationsBasic" : "5+ years in project management, 5+ years in program management, 5+ years in planning, 5+ years in consulting, 5+ years in large-scale event delivery, Manage complex cross-functional initiatives, Develop schedules, Develop reporting tools, Develop planning processes, Bachelor's degree in Business/Project Management, Bachelor's degree in Operations Management, Bachelor's degree in Engineering, Bachelor's degree in Logistics, Bachelor's degree in Event Management, Bachelor's degree in a related field", "qualificationsPreferred" : "Experience leveraging AI-enabled workplace and productivity tools, Master Degree in related field, PMP Certification, Venue operations experience, Major events experience, Logistics experience, Hospitality experience, Transportation experience, Similar operational environments experience, Olympic event experience, Paralympic event experience, Other major event experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "LA28 does not provide relocation assistance. LA28 is the independent, non-profit, privately funded organizing committee for the Los Angeles 2028 Olympic and Paralympic Games. We are on a singular mission to create an Olympic and Paralympic Games that celebrate all that this city and country have to offer, delivering an unparalleled experience for athletes, fans, partners and our community. The 2028 Games mark the return of the Summer Games to the U. S. for the first time in 32 years and Los Angeles’ third time hosting an Olympic Games and first time welcoming the Paralympic Games. This presents the unique and exciting opportunity to celebrate our legacy with the Games and push the Olympic and Paralympic Movements forward, writing a new chapter of Games history in Los Angeles. Putting on an Olympic and Paralympic Games is a team sport. To build a Games unlike any the world has seen before, we need the best team in place–a team full of diverse perspectives, experiences and expertise. We are guided by the following set of values and behaviors–optimism, integrity, excellence, inclusion, co-creation and boldness–and look forward to hearing about how your past experiences align with them. Manager, Cleaning and Waste Planning MS Project, Asana, Jira, or similar platforms). Experience leveraging AI-enabled workplace and productivity tools preferred. Exceptional organizational skills with strong attention to detail and follow-through. Strong stakeholder management, communication, facilitation, and action-tracking capabilities. Ability to manage multiple priorities and deliver results in a fast-paced, evolving environment. Experience: 5+ years in project management, program management, planning, consulting, or large-scale event delivery. Managing complex cross-functional initiatives with multiple stakeholders and competing priorities. Developing schedules, reporting tools, and planning processes. Venue operations, major events, logistics, hospitality, transportation, or similar operational environments preferred. Olympic, Paralympic or other major event experience preferred Education: Bachelors degree in Bachelor's degree in Business/Project Management, Operations Management, Engineering, Logistics, Event Management, or a related field  required Master Degree in related field preferred PMP Certification preferred Physical Requirements and Working Conditions: Available to work onsite in our Downtown Los Angeles-based office.   The majority of work will be conducted in an office setting, requiring extended periods of time using computers, phones, and other office equipment.    The LA28 office is an open floorplan working environment; employees must be able to work efficiently in an open cubicle environment.    Hours of work may vary, including evenings, weekends, and holidays, especially during peak event periods.  Perform other duties as required; the role will evolve over time and may include operational responsibilities during the Olympic and Paralympic Games. The annual base salary range for this position is $88,000.00 - $115,000.00. The pay scale provided is the range that LA28 reasonably expects to pay as starting base compensation for this role. All LA28 compensation remains subject to final determination based on individual candidate qualifications, experience, or other reasonable criteria consistent with LA28’s operational business needs and applicable law. LA28 does not provide relocation assistance. LA28 is committed to fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. LA28 will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring Ordinance and all applicable laws. We strive to build a team that is inclusive and encourage qualified candidates of all backgrounds, perspectives, and identities to apply. We assess applications based on relevant skills, education, and experience a candidate can add to our team.", "summaryDescription" : "Manager, Cleaning and Waste Planning & Integration at LA28. Skills: Planning, Integration, Waste management, Cleaning operations. Plan cleaning operations. Plan waste operations", "postedDate" : "2026-06-15T23:28:40.634", "createdAt" : "2026-06-15T23:28:40.634", "lastUpdated" : "2026-06-16T08:14:43.017", "ingestTimestamp" : "2026-06-15T23:28:40.634", "mongoId" : "6a305b2cf292fd229cf5a2d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 88000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Planning", "Integration", "Waste management", "Cleaning operations", "Project management", "Program management", "Consulting", "Event delivery", "Cross-functional initiatives", "Stakeholder management", "Action-tracking", "Scheduling", "Venue operations", "Major events", "Logistics", "Hospitality", "Transportation", "Olympic Games", "Paralympic Games", "PMP Certification", "MS Project", "Asana", "Jira" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1da70f0b99d58d66ca5", "title" : "Demand Planning and Analytics Manager, JP SCM Capacity Planning", "company" : "Amazon Japan G. K.", "industry" : "Supply Chain/Transportation Management, Program Management, Logistics", "salary" : { "min" : 1.1E7, "max" : 1.65E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Demand Planning and Analytics Manager in Tokyo, Japan, adjusted for manager seniority and e-commerce industry." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T05:58:35.609", "fingerprint" : "f2220612b6cb57f99f3ac80687c6d9d88b22ea02cfb093ca8a21ae53aa7c4d0b", "source" : "amazon", "language" : "ja", "applyUrl" : "https://account.amazon.com/jobs/3102814/apply", "externalId" : "a06e35ff-8d06-4ad5-b8c5-00269a0a9181", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Demand forecasting", "Inventory planning", "Logistics planning", "Network optimization", "Capacity planning", "Data analysis", "Program management" ], "hardSkillsList" : [ "Data analysis", "Program management", "Process improvement", "Quantitative analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Program management", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Demand planning, Capacity planning, Data analysis, Network optimization", "majorSkillsList" : [ "Demand planning", "Capacity planning", "Data analysis", "Network optimization" ], "coreResponsibilities" : "Manage and operate demand forecasting process, Provide reliable and accurate forecast data, Monitor demand forecast performance data, Analyze forecast deviation causes, Lead improvement cycles, Analyze demand plan and actual data, Provide new insights to stakeholders, Drive new initiatives for demand forecasting, Improve logistics network design, Quantitatively analyze impact of initiatives, Support decision making, Lead a team of 3 members, Develop team members", "teamCollaboration" : "Cross-functional teams; Global demand forecasting team; Sales departments; Marketing departments; Finance departments; Logistics network design team; Warehouse operations; Real estate department; Transportation department", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Supply chain management; Logistics network; Inventory management; Demand forecasting technology", "domainList" : [ "supply-chain-management", "logistics-network", "inventory-management", "demand-forecasting-technology" ], "domainSpecificKnowledge" : [ "Supply chain management", "Logistics network", "Inventory management", "Demand forecasting technology" ], "innovationCreativity" : "New approaches; Innovation", "problemSolvingSkills" : "Complex problem solving; Quantitative analysis; Data analysis", "outcomesObjectives" : "Improve logistics network performance; Improve delivery speed; Reduce end-to-end costs; Optimize inventory placement; Maximize team performance", "qualificationsBasic" : "5+ years of data analysis experience, Experience in complex problem solving, Working in a tight schedule environment, 5+ years of working cross functionally, Bachelor's degree, Fluent in both Japanese and English", "qualificationsPreferred" : "Master's degree or MBA, 5+ years of driving process improvements, 5+ years of owning program strategy, End to end delivery ownership, Communicating results to senior leadership, Experience in program or project management, Knowledge of SQL at intermediate level", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Japanサプライチェーン部門は、ネットワーク設計の重要なInputとなる中長期の需要予測（入荷量、在庫量、出荷量）をリードするとともに、在庫など需要のデータ分析を通じてAmazonの物流ネットワークのパフォーマンス改善に向けた提案を行うチームのリーダー（Manager）を募集しています。このRoleは大きく3つの責任を持ちます。まず、Amazon Japanでサプライチェーン組織が担当する物流計画の最上流に位置する需要予測、入出荷計画、在庫計画の策定と改善実行になります。需要予測はシアトル本社の需要予測テクノロジーチームが主導しますが、日本の関係部門が計画している販売や在庫の施策など取り込んで中長期の需要予測の信頼性と精度向上をリードすることが期待されます。計画の策定、レビューにオペレーション部門の代表として参画して、中長期的な販売戦略、マーケティング戦略、物流戦略を関係部署とともに試行錯誤を継続しながら型作る役割を期待しています。次いで、出荷や在庫などに関するサプライチェーンデータを分析し、お客様に対する配送スピードの向上やEnd to Endのコスト低減に寄与する切り口を見出すことです。特に倉庫（FC）の配置やそこに置く在庫の適性化等の観点でNetworkの最適化に向けた提案を行うことが求められます。Amazon Japanは毎年著しい成長を継続しており、高品質なオペレーションと緻密に設計されたロジスティクネットワークがその成長を支えています。需要特性を踏まえていかに在庫を適切に配置するかがSpｅｅｄ向上とコスト低減のカギとなります。データを様々な観点で定量的に解析し、従来にはないアプローチで問題解決を推進することを狙います。最後に現時点で3名を想定しているチームを率いて、チームとしてのPerformanceの最大化とメンバーの育成に責任を持ちます。地球上で最もお客様を大切にする企業を目指すAmazonは、お客様に最高のショッピング体験を提供することが使命となります。そのために年間の需要予測、入出庫計画、在庫計画の精度を高めてムダを省いていくことは必須の業務です。これに加えて、物流コストを更に最適化していくために計画と実績を多角的な視点から分析し、場合によっては緻密なプランを関係者と連携して立案しながら、これまでのアプローチから脱却することで変革をもたらします。中長期を見据えた物流戦略は従来の型に捕らわれない、新たなアプローチとイノベーションが期待されます。 Key job responsibilities - 需要予測の一連のプロセスをJP側の責任者として管理、運営し、期日までに信頼性と精度の高い予測データを提供できるようProgram Managementを行う - 需要予測に対する実績データの状況をモニターし、大きな乖離が発生した場合はその原因を分析し、改善のサイクルをリードする - 需要計画と実績データを深く分析し、そこから得られた新しいInsightを関係部署に提供し、需要予測や物流ネットワーク設計の改善に向けた新たな施策に落とし込む - 各施策のフルフィルメントコストへの影響、売上への影響、関連するメトリクスへの影響を定量的に分析して意思決定をサポートする - 3名のメンバーからなるチームをリードし、メンバーの育成を行う A day in the life 入社後はSCM事業本部のCapacity PlanningチームのSenior Managerにレポートします。需要計画は、シアトル本社に所属するSupply Chain Optimization Technologyチーム（需要予測部門）と連携して、年間の需要計画と入出庫計画、3年後を見据えた需要計画を共同で各四半期のサイクルで管理しています。この需要計画を同じチームの物流ネットワーク設計担当者に提供し、新規倉庫（FC）を何時、何処に、どの程度の規模で開設するのかを決定し、実現に向けた大きな金額の投資判断をするのがCapacity Planningの大きな役割です。そのため関係する部門は多岐にわたり、各部門と調整の核としての役割が期待されます。需要計画においてはグローバルの需要予測部門、日本では販売部門、マーケティング部門、財務部門が主な関係先となります。需要の不確実性を考慮した上で、どれほどの出荷、入荷、在庫保有能力を準備するかを下流のチームに伝達することも重要な業務の一つになります。また物流ネットワーク設計におけるデータ分析においては、同じSCM事業本部の部門に加えて、倉庫を建設する技術部門、倉庫運営部門、不動産部門、輸送部門、財務部門といった関係者に対してデータ分析から得られるInsightを提供して、より効率的なネットワーク設計に貢献します。想定される業務負荷割合 40%: データの分析と関係者と施策検討、実行計画策定、テスト結果検証、コスト試算等 20%: 需要計画プロセスの運営 20%: 週次での会議運営、実績レポート作成 10%: その他 About the team 本ポジションはAmazon Japanのサプライチェーン部門の中でCapacity Planningチームの一員として活動します。当チームは中長期での視点で入出荷、在庫の需要予測を行い、お客様に豊富な品揃えと在庫量、そして迅速な配送スピードで商品をお届けできるように、適切なタイミングで、適切な場所に、適切な規模で倉庫を建築、準備することが主な役割です。この業務を通じて、お客様の購買体験の向上、ビジネスにおけるコスト管理、投資判断など重要な役割を担っています。当チームは、日本のオペレーション部門の中でも最も遠い将来を見て仕事をしているのが特徴です。【働き方】・フレックスタイム制 ※コアタイム無し・実働8時間/日となりますが、業務時間帯はマネージャーと相談の上、業務および個人の都合に応じて変更が可能となる場合があります。例えば、個人の事情で日中の勤務が難しい場合は他時間帯に振り分ける等、ワークライフハーモニーを重視した働き方が可能です。・所属部門:サプライチェーンマネジメント(SCM)・ミドルマイル・職種:プロジェクトマネジメント・勤務地:東京オフィス ■Amazon は多様かつインクルーシブな職場づくりを目指しています。Amazonは男女雇用機会均等法を順守しています。人種、出身国、性別、性的指向、障がい、年齢、その他の属性によって差別することなく、平等に採用選考の機会を提供しています。障がいをお持ちの方は、以下をご覧ください。https://www.amazon.jobs/disability/jp Basic Qualifications: - Experience using data and metrics to determine and drive improvements - 5+ years of data analysis experience - Experience in complex problem solving, and working in a tight schedule environment - 5+ years of working cross functionally with tech and non-tech teams experience - Bachelor's degree - Fluent in both Japanese and English laungues Preferred Qualifications: - Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field - 5+ years of driving process improvements experience - 5+ years of owning program strategy, end to end delivery, and communicating results to senior leadership experience - Experience in program or project management - Knowledge of SQL at an intermediate level, including: compile queries, subqueries, aggregation/grouping, data modification, etc. - 5+ years of supply chain experience 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" : "Demand Planning and Analytics Manager, JP SCM Capacity Planning at Amazon Japan G. K.. Skills: Demand planning, Capacity planning, Data analysis, Network optimization. Manage and operate demand forecasting process. Provide reliable and accurate forecast data", "postedDate" : "2026-06-13T16:27:08.732", "createdAt" : "2026-06-13T16:27:08.732", "lastUpdated" : "2026-06-15T05:58:35.609", "ingestTimestamp" : "2026-06-13T16:27:08.732", "mongoId" : "68e6b1da70f0b99d58d66ca5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3102814/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Program management", "Process improvement", "Quantitative analysis", "Leadership", "Demand planning", "Capacity planning", "Network optimization", "Demand forecasting", "Inventory planning", "Logistics planning", "Supply chain management", "Logistics network", "Inventory management", "Demand forecasting technology" ], "skillCount" : 15, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307faaf292fd229c05bff1", "title" : "Product Planning and Strategy Lead, Pixel Wearables and Ecosystem", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 230000.0, "max" : 370000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product Planning and Strategy Lead in Technology at Google in Mountain View, United States, adjusted for seniority 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]" ], "timestamp" : "2026-06-16T14:43:36.546", "fingerprint" : "03adc3383377ec10cd092c67c2ceb703572f1b270d1c69695c4f82a7a8bc2e57", "source" : "google", "language" : "en", "externalId" : "126383084835611334", "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", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "professionalSkills" : [ "Product strategy", "Product roadmaps", "User stories", "Cross-functional collaboration" ], "majorSkills" : "Product management, Product strategy, Roadmap development", "majorSkillsList" : [ "Product management", "Product strategy", "Roadmap development" ], "coreResponsibilities" : "Define product strategy, Develop product roadmaps, Write user stories, Collaborate with cross-functional teams, Drive product planning, Manage product lifecycle", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Product planning" ], "domainKnowledge" : "Wearables; Consumer electronics; Ecosystem products", "domainList" : [ "wearables", "consumer-electronics", "ecosystem-products" ], "domainSpecificKnowledge" : [ "Wearables", "Consumer electronics", "Ecosystem products" ], "qualificationsBasic" : "5+ years of experience in product management, Experience with hardware product development, Experience with consumer electronics, Experience with mobile products, Experience with software products, Experience with product strategy, Experience with product roadmaps, Experience with user stories, Experience with cross-functional collaboration", "qualificationsPreferred" : "Experience with wearables, Experience with ecosystem products, Experience with AI/ML", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Planning and Strategy Lead, Pixel Wearables and Ecosystem at Google. Skills: Product management, Product strategy, Roadmap development. Define product strategy. Develop product roadmaps", "postedDate" : "2026-06-16T01:52:24.005", "createdAt" : "2026-06-16T01:52:24.005", "lastUpdated" : "2026-06-16T14:43:36.546", "ingestTimestamp" : "2026-06-16T01:52:24.005", "mongoId" : "6a307faaf292fd229c05bff1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 230000, "salaryAnnualMax" : 370000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Product management", "Product strategy", "Roadmap development", "Product roadmaps", "User stories", "Cross-functional collaboration", "Product planning", "Wearables", "Consumer electronics", "Ecosystem products" ], "skillCount" : 10, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe2dd44c40e2acd1ecfd99", "title" : "Sr Program Manager, Long Term Planning and Forecasting", "company" : "Amazon.com Services LLC", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, operations", "salary" : { "min" : 115000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "PMP certification preferred" ], "timestamp" : "2026-06-15T06:57:57.455", "fingerprint" : "e4ed9600d259b273d1b3b6fefc90edb280f435bcdbc9310e9f85d93cfaa8a8c4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414968/apply", "externalId" : "ab491eb5-6bf4-4b83-b5a4-10e3c121198a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" }, { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Bellevue, Washington, United States; New York, New York, United States; Austin, Texas, United States; Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Program management", "Project management", "Cross-functional leadership", "Stakeholder management", "Operational planning", "Forecasting", "Process improvement", "Resource allocation" ], "hardSkillsList" : [ "Data analysis", "Risk assessment", "Budget management" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" } ], "majorSkills" : "Program management, Operational planning, Cross-functional coordination", "majorSkillsList" : [ "Program management", "Operational planning", "Cross-functional coordination" ], "coreResponsibilities" : "Develop and execute long-term strategic plans, Manage and coordinate cross-functional project teams, Oversee operational planning and forecasting processes, Identify and mitigate project risks, Track and report on project progress and key, Collaborate with stakeholders to define project scope and, Drive continuous improvement initiatives within operational processes, Manage project budgets and resource allocation", "teamCollaboration" : "Cross-functional teams; Stakeholder engagement; External vendors", "projectManagementSkills" : [ "Program management", "Project management", "Agile methodologies", "Waterfall methodologies", "Risk management", "Scope management", "Schedule management", "Budget management" ], "domainKnowledge" : "Long-term planning; Forecasting methodologies; Operational efficiency", "domainList" : [ "long-term-planning", "forecasting-methodologies", "operational-efficiency" ], "domainSpecificKnowledge" : [ "Long-term planning", "Forecasting methodologies", "Operational efficiency" ], "toolProficiency" : [ "Microsoft Project", "Excel", "PowerPoint" ], "communicationSkills" : "Executive presentations; Status reporting; Cross-functional communication", "documentationSkills" : "Project documentation; Process documentation", "problemSolvingSkills" : "Root cause analysis; Strategic problem solving", "outcomesObjectives" : "Deliver strategic plans on time; Improve operational efficiency; Achieve project milestones", "qualificationsBasic" : "5+ years of experience in program or project management, Bachelor's degree or equivalent practical experience, Experience managing complex, cross-functional projects", "qualificationsPreferred" : "Master's degree or MBA, Experience with operational planning and forecasting, Familiarity with supply chain or logistics operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Senior Program Manager to own the strategic vision and execution for how Amazon's business customers interact with LTPF forecasts and plans. As a senior leader within the LTPF, you will be responsible for defining the multi-year roadmap for customer engagement, ensuring that business stakeholders across Amazon can seamlessly access, understand, and act upon our forecasting outputs. In this role, you will manage the lifecycle of complex, cross-functional programs that transform how Operations, Stores, and Finance teams leverage LTPF insights for strategic decision-making. You will work with scientists, economists, engineers, and business customers to architect the customer interaction experience, including viewing capabilities, auditing tools, what-if analysis frameworks, and forecast intervention workflows. This role might be for you if you have interest and experience in: - Leading large, cross-functional planning and strategy workstreams that impact Amazon's topline growth - Defining multi-year program vision and strategy while balancing short-term execution - Regularly presenting to VP and SVP level leaders - Prioritizing operational excellence work alongside feature delivery on a roadmap - Showing strong business acumen with strategic, analytical, and critical thinking - Managing planning calendars and strategic review mechanisms - Driving organizational alignment across multiple teams and stakeholders Key job responsibilities As a Senior Program Manager in LTPF: - You will architect the customer engagement experience, ensuring business stakeholders can seamlessly view, audit, and leverage LTPF outputs for strategic planning. - You will lead innovation and use of customer-facing tools, what-if analysis frameworks, and forecast intervention workflows that enable the full business to incorporate strategic decisions into LTPF's forecasts and plans. - You will serve as the strategic bridge between LTPF's technical outputs and diverse business stakeholders. - You will own the end-to-end customer journey, from initial forecast consumption to what-if scenario exploration to submitting forecast interventions. - You will gather insights, identify systemic gaps, and drive strategic initiatives to transform the experience. - You will use data-driven insights to continuously improve how Operations, Finance, and Stores teams interact with LTPF. - You will partner with cross-functional stakeholders to determine project priorities, manage the lifecycle of complex initiatives from concept to delivery, and negotiate resources. - You will forge partnerships with Product, Tech, Science, and Operations teams to build enhanced capabilities. - You will regularly present to Directors and VPs, publish strategic planning documents, and own quarterly and annual reviews with senior leadership. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazon's most important strategic questions: Where will Amazon's growth come from in the next year? What about over the next five years? Which product lines are poised to grow significantly? Are we investing appropriately in our infrastructure? How do our customers react to changes in prices, product selection, or delivery times? Are our infrastructure investments optimal for the level of demand we expect? Basic Qualifications: - 5+ years of program or project management experience - Experience using data and metrics to determine and drive improvements - Experience owning program strategy, end to end delivery, and communicating results to senior leadership Preferred Qualifications: - 2+ years of driving process improvements experience - Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 115,600.00 - 160,000.00 USD annually", "summaryDescription" : "Sr Program Manager, Long Term Planning and Forecasting at Amazon.com Services LLC. 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"Project management", "Process improvement" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Forecast performance", "level" : "intermediate" }, { "name" : "Root-cause insights", "level" : "intermediate" }, { "name" : "Data-driven decision making", "level" : "intermediate" }, { "name" : "Data quality troubleshooting", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data engineering, Forecasting, Data visualization", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Forecasting", "Data visualization" ], "coreResponsibilities" : "Develop analytical dashboards, Maintain analytical dashboards, Develop reports, Maintain reports, Develop data pipelines, Maintain data pipelines, Track forecast performance, Collaborate with scientists, Collaborate with engineers, Collaborate with product managers, Gather requirements, Deliver data solutions, Surface root-cause insights, Escalate trade-offs, Escalate prioritization decisions, Build data models, Maintain data models, Build ETL processes, Maintain ETL processes, Build automated reporting mechanisms, Maintain automated reporting mechanisms, Optimize for performance, Optimize for reliability, Leverage generative AI tools, Leverage generative AI techniques, Accelerate insight generation, Automate reporting workflows, Contribute ideas for AI improvements, Conduct deep-dive analyses, Identify trends, Identify patterns, Identify opportunities for improvement, Deliver clear findings, Contribute to analyses, Identify data quality issues, Identify data dependencies, Identify data bottlenecks, Troubleshoot issues, Resolve issues, Escalate systemic problems, Own projects, Deliver projects, Develop project plans, Track milestones, Communicate findings, Adopt team best practices, Champion team best practices, Improve processes, Improve tools, Support onboarding, Contribute to knowledge-sharing, Participate in hiring loops, Participate in technical assessments", "teamCollaboration" : "Internal stakeholders; External consumers; Senior team members; Science teams; Engineering teams; Team leads; Stakeholders", "projectManagementSkills" : [ "Project management", "Project plans", "Milestone tracking" ], "domainKnowledge" : "Supply chain planning; Inventory planning; Long-term forecasting; Topline planning; Capacity planning; Ordered units; GMS; Inventory units; Inventory cost; FC building capacity; FC topology", "domainList" : [ "supply-chain-planning", "inventory-planning", "long-term-forecasting", "topline-planning", "capacity-planning", "ordered-units", "gms", "inventory-units", "inventory-cost", "fc-building-capacity", "fc-topology" ], 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"Experience with AWS solutions, Experience in data mining, Experience using databases, Experience with large-scale datasets, Experience with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Where will Amazon's growth come from next year? In five years? Which product lines are staged to quintuple in size, and which ones are mature? Are we investing enough in our infrastructure, or too much? How will our customers react to changes in prices, or selection, or delivery speed? The SCOT Long-Term Planning and Forecasting (LTPF) team works to answer these key questions. The Supply Chain Optimization Technology (SCOT) team owns Amazon's global inventory planning systems: SCOT decides what, when, where, and how much inventory to buy in order to meet customer needs as well as Amazon's business goals. We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and represent the forefront of automated large scale supply chain planning and optimization systems.. SCOT LTPF is responsible for long-term forecasting and planning across Topline, Inventory, and Capacity — helping Amazon plan key metrics including ordered units and GMS, inventory units and cost, and FC building capacity and topology (size and location). SCOT LTPF is looking for a Business Intelligence Engineer to support the team. LTPF BI Engineers build and maintain analytical tools supporting Topline, Inventory, and Capacity planning, and engage with internal stakeholders and external consumers of LTPF forecasts to ensure they have timely data in the right context to answer key business questions. The ideal candidate will have experience in leading analytics projects including but not limited to: forecasting, business monitoring, business intelligence and data visualization. The candidate should also have experience mapping analytical solutions to business problems in the most ambiguous environments with a track record of making data easy to consume for end users. This position will require extensive stakeholder and project management. Key job responsibilities - Develop and maintain analytical dashboards, reports, and data pipelines using Amazon QuickSight, SQL, and AWS services to track forecast performance across Topline, Inventory, and Capacity planning — following established architectural patterns and team standards to ensure solutions are reliable and well-documented - Collaborate with scientists, engineers, and product managers to gather requirements and deliver data solutions that surface root-cause insights — escalating trade-offs and prioritization decisions to senior team members when needed - Build and maintain data models, ETL processes, and automated reporting mechanisms that enable data-driven decision making — optimizing for performance and reliability within the team's existing frameworks - Leverage generative AI tools and techniques to accelerate insight generation and automate reporting workflows, contributing ideas for new AI-driven improvements to the team's analytical processes - Conduct deep-dive analyses to identify trends, patterns, and opportunities for improvement — delivering clear findings on well-scoped business questions and contributing to analyses on more complex or ambiguous problems with guidance from senior team members - Proactively identify data quality issues, dependencies, and bottlenecks — troubleshooting and resolving issues within scope and escalating broader systemic problems with clear documentation - Own and deliver medium-complexity projects from start to finish — developing project plans, tracking milestones, and communicating findings clearly to team leads and stakeholders - Adopt and champion team best practices in data modeling, metric definitions, and code quality — proactively identifying opportunities to improve processes and tools within your area of ownership - Support onboarding of new team members and contribute to knowledge-sharing initiatives; participate in hiring loops and technical assessments as a bar raiser candidate (with development support) A day in the life LTPF BI Engineers focus on how our customers use our forecasts and plans, and ensuring it's as easy as possible to access and understand them. We serve on the front lines of forecast and plan validation as a proxy for our customers, making sure changes across Topline, Inventory, and Capacity are well understood and clearly communicated. We develop reports and data access points that answer key questions about forecast performance, inventory positioning, and capacity planning — and work with science and engineering teams to resolve forecast and planning questions. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Long-Term Planning & Forecasting (LTPF) enables coordinated long-term planning and drives critical decisions that maximize Amazon's ability to serve customers worldwide. The organization develops forecasting, optimization, and analytics products and services to plan Amazon's Topline, Inventory, as well as Capacity and Topology, driving strategic decisions and Amazon policies to improve key business metrics. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 109,500.00 - 185,000.00 USD annually USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually", "summaryDescription" : "Business Intelligence Engineer II, SCOT - Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Business intelligence, Data engineering, Forecasting, Data visualization. Develop analytical dashboards. 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"hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Application design", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "CI/CD pipeline implementation", "level" : "intermediate" }, { "name" : "AI-enabled solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Cloud Native Applications, AI, ML, DevOps, Cloud Architecture", "majorSkillsList" : [ "Cloud Native Applications", "AI", "ML", "DevOps", "Cloud Architecture" ], "coreResponsibilities" : "Define strategic vision for cloud-native development, Drive strategic vision for AI practices, Drive strategic vision for ML practices, Establish engineering frameworks, Improve engineering frameworks, Establish architectural standards, Improve architectural standards, Establish DevOps practices, Improve DevOps practices, Establish delivery methodologies, Improve delivery methodologies, Lead engineering organization, Mentor engineering organization, Scale engineering organization, Foster technical excellence, Foster innovation, Foster AI-first delivery, Oversee end-to-end delivery, Ensure high-quality outcomes, Ensure customer satisfaction, Ensure efficient execution, Partner with AWS, Leverage new services, Leverage co-innovation opportunities, Leverage partner ecosystems, Support business growth, Engage in pre-sales, Design solutions, Align technical capabilities, Champion innovation, Champion thought leadership, Represent organization in events, Represent organization in forums, Drive adoption of AI tools, Improve engineering productivity, Improve delivery speed, Improve solution quality", "teamCollaboration" : "Cross-functional teams; Client forums; Internal teams; Client projects", "projectManagementSkills" : [ "Delivery methodologies" ], "domainKnowledge" : "Cloud-native development; AI/ML; DevOps; AWS best practices; Cloud-native application design; Modern software engineering; Infrastructure as Code; CI/CD pipelines; Enterprise software; Transformation programs; AI-enabled software", "domainList" : [ "cloud-native-development", "ai-ml", "devops", "aws-best-practices", "cloud-native-application-design", "modern-software-engineering", "infrastructure-as-code", "ci-cd-pipelines", "enterprise-software", "transformation-programs", "ai-enabled-software" ], "domainSpecificKnowledge" : [ "Cloud-native development", "AI/ML", "DevOps", "AWS best practices", "Cloud-native application design", "Modern software engineering", "Infrastructure as Code", "CI/CD pipelines", "Enterprise software", "Transformation programs", "AI-enabled software" ], "communicationSkills" : "Executive influence; Client-facing", "continuousLearning" : "Professional certifications; Continuing education; Learning and development stipend", "innovationCreativity" : "Innovation; Thought leadership; Co-innovation opportunities", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Up to 25% business travel", "qualificationsBasic" : "8+ years software engineering, 5+ years senior leadership, AWS cloud architecture expertise, Cloud-native application design expertise, Modern software engineering practices expertise, DevOps expertise, Infrastructure as Code expertise, Automation expertise, CI/CD pipeline implementation expertise, Deliver large enterprise software programs, Deliver transformation programs, Stakeholder management, Client-facing consulting experience, Professional services experience, AI-enabled software solutions experience, Excellent communication skills, Excellent leadership skills, Excellent organizational skills", "qualificationsPreferred" : "AWS certifications, Product environments experience, SaaS environments experience, Interest in applying emerging technologies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and drive the strategic vision for cloud-native application development, AI, and ML practices, ensuring alignment with business goals, AWS best practices, and emerging industry trends. Establish and continuously improve modern engineering frameworks, architectural standards, DevOps practices, and delivery methodologies for scalable cloud-native and AI-enabled systems. Lead, mentor, and scale a large multidisciplinary organization of engineers, architects, and consultants, fostering a culture of technical excellence, innovation, and AI-first delivery. Oversee end-to-end delivery of complex client engagements, ensuring high-quality outcomes, strong customer satisfaction, and efficient execution using modern cloud and AI tools. Partner with AWS and other strategic technology providers to leverage new services, co-innovation opportunities, and partner ecosystems to enhance solution offerings. Support business growth through pre-sales engagement, solution design, and alignment of technical capabilities with customer needs and revenue opportunities. Champion innovation and thought leadership by staying ahead of trends in cloud-native development, DevOps, and AI/ML, while representing the organization in industry events and client forums. Drive the adoption of AI-powered tools and practices to improve engineering productivity, delivery speed, and solution quality across internal teams and client projects. Requirements: 8+ years of experience in software engineering and cloud technologies, including at least 5 years in senior leadership or organizational management roles. Proven track record of leading and scaling large engineering or consulting organizations (ideally 50+ team members or complex delivery units). Strong expertise in AWS cloud architecture, cloud-native application design, and modern software engineering practices. Deep experience in DevOps, Infrastructure as Code (IaC), automation, and CI/CD pipeline implementation at scale. Demonstrated ability to deliver large, multi-million-dollar enterprise software or transformation programs. Strong background in stakeholder management, with the ability to influence executives, customers, and cross-functional teams. Experience in client-facing consulting or professional services environments with enterprise customers across multiple industries. Hands-on experience with AI-enabled software solutions and a strong interest in applying emerging technologies to improve delivery outcomes. Excellent communication, leadership, and organizational skills, with the ability to operate effectively in fast-paced, ambiguous environments. AWS certifications and experience in product or SaaS environments are considered strong assets. Benefits: 100% remote work flexibility Comprehensive health coverage (including dependents) Long-term disability insurance Employer-matched pension plan (4%) Unlimited vacation policy Paid sick leave and public holidays Paid parental leave Support for professional certifications and continuing education Annual learning and development stipend Equipment and home office stipend Latest tools and technology provided (laptop and setup) Peer recognition and bonus programs Equity or variable compensation components (role-dependent) Base salary range: $207,000 – $272,000 CAD annually, with additional bonus, equity, and incentive opportunities depending on performance and role scope Potential for up to 25% business travel depending on client needs. ## 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" : "Director of Cloud Native Applications. Skills: Cloud Native Applications, AI, ML, DevOps, Cloud Architecture. Define strategic vision for cloud-native development. Drive strategic vision for AI practices", "postedDate" : "2026-06-15T13:18:21.074", "createdAt" : "2026-06-15T13:18:21.074", "lastUpdated" : "2026-06-16T13:00:13.202", "ingestTimestamp" : "2026-06-16T03:20:43.088", "mongoId" : "6a305118f292fd229cef98b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cloud architecture", "Application design", "Software engineering", "DevOps", "Infrastructure as Code", "Automation", "CI/CD pipeline implementation", "AI-enabled solutions", "Leadership", "Mentoring", "Cloud Native Applications", "AI", "ML", "Cloud Architecture", "Strategic vision", "Engineering frameworks", "Architectural standards", "Delivery methodologies", "Organizational management", "Client engagements", "Solution design", "Business growth", "Thought leadership", "Stakeholder management", "Executive influence", "Cloud-native development", "AI/ML", "AWS best practices", "Cloud-native application design", "Modern software engineering", "CI/CD pipelines", "Enterprise software", "Transformation programs", "AI-enabled software", "AWS certifications" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fe94fd4c40e2acd1121794", "title" : "Data Scientist II, Long Term Planning and Forecasting", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, operations", "salary" : { "min" : 136000.0, "max" : 184000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T02:20:39.820", "fingerprint" : "3d4fa4178d10f3d0b8862ac0d2b2bdd7dd50f60800d59cf7d13f22cc55af5df3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414902/apply", "externalId" : "669c4a4d-8355-40ab-9d4b-05b3b5884c4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, SAS, Matlab, GenAI", "professionalSkills" : [ "Long term planning", "Forecasting", "Customer engagement", "Strategic decision-making", "Causal inference", "Time-series econometrics", "Bayesian methods", "Variance decomposition" ], "hardSkillsList" : [ "Causal inference modeling", "Automated explainability frameworks", "Variance bridging methodologies", "Plan-vs-Actual models", "Actual-vs-Actual models", "Demand driver quantification", "Hypothesis generation", "Hypothesis validation", "Narrative generation" ], "softSkillsList" : [ "Business acumen", "Strategic thinking", "Analytical thinking", "Critical thinking" ], "hardSkills" : [ { "name" : "Causal inference modeling", "level" : "intermediate" }, { "name" : "Automated explainability frameworks", "level" : "intermediate" }, { "name" : "Variance bridging methodologies", "level" : "intermediate" }, { "name" : "Plan-vs-Actual models", "level" : "intermediate" }, { "name" : "Actual-vs-Actual models", "level" : "intermediate" }, { "name" : "Demand driver quantification", "level" : "intermediate" }, { "name" : "Hypothesis generation", "level" : "intermediate" }, { "name" : "Hypothesis validation", "level" : "intermediate" }, { "name" : "Narrative generation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business acumen" }, { "name" : "Strategic thinking" }, { "name" : "Analytical thinking" }, { "name" : "Critical thinking" } ], "majorSkills" : "Causal inference, Forecasting, Machine learning, Data science", "majorSkillsList" : [ "Causal inference", "Forecasting", "Machine learning", "Data science" ], "coreResponsibilities" : "Develop causal inference models, Develop automated explainability frameworks, Develop variance bridging methodologies, Build automated Plan-vs-Actual models, Build automated Actual-vs-Actual models, Build and maintain causal model library, Develop GenAI-powered narrative generation capabilities, Design automated hypothesis ranking", "teamCollaboration" : "Cross-functional programs; Scientists; Economists; Engineers; Business customers; Operations teams; Stores teams; Finance teams", "projectManagementSkills" : [ "Cross-functional planning", "Strategy workstreams", "Program vision", "Program strategy", "Roadmap execution", "Roadmap delivery", "Planning calendars", "Strategic review mechanisms", "Organizational alignment" ], "domainKnowledge" : "Long Term Planning; Forecasting; Demand shifts; Planning ecosystem; Revenue metrics; Price metrics; Units metrics; Inventory metrics; Capacity metrics; Worldwide marketplaces", "domainList" : [ "long-term-planning", "forecasting", "demand-shifts", "planning-ecosystem", "revenue-metrics", "price-metrics", "units-metrics", "inventory-metrics", "capacity-metrics", "worldwide-marketplaces" ], "domainSpecificKnowledge" : [ "Long Term Planning", "Forecasting", "Demand shifts", "Planning ecosystem", "Revenue metrics", "Price metrics", "Units metrics", "Inventory metrics", "Capacity metrics", "Worldwide marketplaces" ], "communicationSkills" : "Presenting to VP; Presenting to SVP; Written communication; Verbal communication", "innovationCreativity" : "GenAI capabilities", "problemSolvingSkills" : "Reasoning; Problem-solving", "qualificationsBasic" : "2+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning/statistical modeling experience, 1+ years of guiding researchers experience, 1+ years of evaluating AI systems experience, 1+ years of creating mathematical textbooks experience, Master's degree in STEM, Experience applying theoretical models", "qualificationsPreferred" : "Ph.D. in STEM, Knowledge of machine learning concepts, Experience in Python, Experience in Perl, Experience defining GenAI benchmarks, Experience creating GenAI benchmarks, Experience communicating complex concepts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data Scientist to drive scientific tooling supporting how Amazon's business customers interact with LTPF forecasts and plans. As a science leader within the LTPF, you will be responsible for building to the multi-year roadmap for customer engagement, ensuring that business stakeholders across Amazon can seamlessly access, understand, and act upon our forecasting outputs. In this role, you will manage the lifecycle of complex, cross-functional programs that transform how Operations, Stores, and Finance teams leverage LTPF insights for strategic decision-making. You will work with scientists, economists, engineers, and business customers to architect the customer interaction experience, including viewing capabilities, auditing tools, what-if analysis frameworks, and forecast intervention workflows. This role might be for you if you have interest and experience in: - Leading large, cross-functional planning and strategy workstreams that impact Amazon's topline growth - Defining multi-year program vision and strategy while balancing short-term execution - Regularly presenting to VP and SVP level leaders - Prioritizing operational excellence work alongside feature delivery on a roadmap - Showing strong business acumen with strategic, analytical, and critical thinking - Managing planning calendars and strategic review mechanisms - Driving organizational alignment across multiple teams and stakeholders Key job responsibilities As a Data Scientist in LTPF (Long-Term Planning & Forecasting): - You will develop causal inference models, automated explainability frameworks, and variance bridging methodologies that translate LTPF's forecasts and plans into actionable business intelligence. - Your work will enable leadership to understand why forecasts and actuals diverge, what is driving demand shifts, and how strategic decisions propagate through the planning ecosystem. - You will build automated Plan-vs-Actual and Actual-vs-Actual variance decomposition models that quantify the contribution of individual demand drivers to observed gaps across revenue, price, units, inventory, and capacity metrics at multiple granularities to serve audiences from working-level analysts to VP-level planning reviews cycles. - You will build and maintain a causal model library with standardized hypothesis generation and validation pipelines, applying techniques from causal inference, time-series econometrics, and Bayesian methods. Each model will include calibrated confidence scoring and reusable components that scale across worldwide marketplaces. - You will develop GenAI-powered narrative generation capabilities that synthesize quantitative variance outputs into human-readable performance summaries and design automated hypothesis ranking to determine which demand drivers are most responsible for observed forecast error. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazon's most important strategic questions: Where will Amazon's growth come from in the next year? What about over the next five years? Which product lines are poised to grow significantly? Are we investing appropriately in our infrastructure? How do our customers react to changes in prices, product selection, or delivery times? Are our infrastructure investments optimal for the level of demand we expect? Basic Qualifications: - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 1+ years of guiding and coaching a group of researchers experience - 1+ years of working with or evaluating AI systems experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Experience applying theoretical models in an applied environment Preferred Qualifications: - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl, or another scripting language - Experience in defining and creating benchmarks for assessing GenAI model performance - Experience effectively communicating complex concepts through written and verbal communication - Experience in forecasting analyses 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 153,400.00 - 207,500.00 USD annually USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually", "summaryDescription" : "Data Scientist II, Long Term Planning and Forecasting at Amazon.com Services LLC. Skills: Causal inference, Forecasting, Machine learning, Data science. Develop causal inference models. 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Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again\". We are seeking a full-time Technical Manager, Financial Planning & Analysis to join our growing FP&A team. This role will serve as the bridge between finance, data, and technology, helping build and scale our planning infrastructure while supporting both clinic operations and corporate functions. The ideal candidate is a strategic and analytical thinker who combines strong FP&A expertise with systems and data acumen. You are comfortable operating independently, partnering across teams, and driving initiatives from concept to execution. No task is too small or too complex, and you thrive in a fast-paced, evolving environment. A key focus of this role will be leading the implementation and ongoing optimization of Pigment, our first enterprise FP&A planning platform. This individual will help establish scalable planning processes, improve data connectivity, and enable more sophisticated forecasting, reporting, and decision support capabilities across the organization. Title and level will be assessed commensurate with experience. This position reports directly to the VP, FP& A. This role does not provide visa sponsorship. Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship for a work visa (current or future). Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! What You’ll Do Financial Systems & Planning Infrastructure Lead the implementation, administration, and ongoing optimization of our FP&A planning platform (Pigment). Serve as the primary liaison between Finance, Data, and Engineering teams to ensure the integrity, scalability, and usability of financial data and planning systems. Design and maintain data models, integrations, and reporting structures that support budgeting, forecasting, long-range planning, and management reporting. Establish governance, documentation, and best practices for financial systems and planning processes. Financial Planning & Analysis Partner with other FP&A Managers on the development and maintenance of driver-based financial models to support budgeting, forecasting, long-range planning, and strategic decision-making. Develop real-time reporting and performance dashboards to monitor business results and analyze variances against plan. Own consolidations and lead preparation of our Monthly Financial Packages and other Quarterly and Annual Board Reporting. Support monthly, quarterly, and annual forecasting processes, ensuring accuracy, consistency, and actionable insights. Conduct detailed analyses of business performance, including operational metrics, marketing efficiency, customer acquisition costs, revenue performance, and other key drivers. Business Partnership & Strategic Support Act as the primary business partner for our CTO and IT teams. Partner with department leaders to support goal setting, resource planning, performance measurement, and growth initiatives. Translate complex financial and operational data into actionable recommendations for business stakeholders. Prepare and deliver clear, concise, and insightful analyses and presentations for senior leadership. Champion continuous improvement initiatives across financial processes, reporting, systems, and analytics capabilities. What You’ll Bring Strong foundation in FP&A, including budgeting, forecasting, long-range planning, variance analysis, and management reporting. Hands-on experience implementing, administering, or optimizing FP&A platforms such as Pigment, Anaplan, Adaptive Planning, Planful, or similar tools. Experience building driver-based financial models and scalable planning processes in a high-growth environment. Strong understanding of financial statements, operational KPIs, business performance drivers, and SaaS or multi-site operating metrics. Demonstrated ability to work with large, complex datasets and partner effectively with data and technology teams. Advanced analytical, problem-solving, and financial modeling skills with exceptional attention to detail. Excellent communication and presentation skills, with the ability to influence both finance and non-finance stakeholders. A proactive, solution-oriented mindset with a track record of overcoming obstacles and driving results. Comfortable navigating ambiguity and managing multiple priorities in a rapidly changing environment. Technical Skills Experience with SQL and data warehouse environments (Snowflake, BigQuery, Redshift, etc.) Experience integrating ERP, HRIS, CRM, and operational data into planning systems Familiarity with BI tools such as Sigma, Tableau, Power BI, or Looker Experience designing data models and dimensional planning structures preferred AI & Automation Experience leveraging automation and AI tools to improve forecasting, reporting, and planning workflows preferred Proven track record identifying and implementing process improvements that reduce manual effort and increase scalability Preferred Qualifications 5–10+ years of experience in FP&A, strategic finance, finance systems, or related fields Prior experience leading a planning system implementation from design through deployment Experience in healthcare services, multi-site operations, or high-growth environments Our Values First: we are Pioneers Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work. What We Offer An avenue to make a positive impact on people's lives and their health We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! Retirement made easy! Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions. We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family The base salary for this role ranges from $160,000- $190,000, depending on experience and geographic location We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.", "summaryDescription" : "Technical Manager, Financial Planning and Analysis (FP&A) at Prenuvo", "postedDate" : "2026-06-15T23:29:34.798", "createdAt" : "2026-06-15T23:29:34.798", "lastUpdated" : "2026-06-16T08:20:34.911", "ingestTimestamp" : "2026-06-15T23:29:34.798", "mongoId" : "6a30678df292fd229cfbf1cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "696082670937eae70e9c8a78", "title" : "Director of Transportation Planning & Development", "industry" : "Government", "salary" : { "min" : 123252.0, "max" : 208449.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-Odessa-Odessa District Headquarters", "locations" : [ "UST-Texas-Odessa-Odessa District Headquarters", "Yearly", "Exempt,
Odessa District Headquarters (06DISTHQ)
3901 EAST US HIGHWAY 80
Odessa, 79761

, Odessa District Headquarters" ], "timestamp" : "2026-06-15T09:48:48.370", "fingerprint" : "16fcbcdc528ce61b415525f57699e2b5f2010bd1ee25b3b65ef9d5b6ebe80a2f", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42667", "externalId" : "42667", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Odessa", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.8457149,-102.3676870" } ], "locationText" : "Odessa, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "softSkillsList" : [ "Leadership" ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Transportation planning, Development, Mobility strategies, Infrastructure initiatives", "majorSkillsList" : [ "Transportation planning", "Development", "Mobility strategies", "Infrastructure initiatives" ], "coreResponsibilities" : "Shape long-range mobility strategies, Guide major infrastructure initiatives, Ensure transportation network supports growth", "teamCollaboration" : "Cross-functional coordination; Vendor management; Stakeholder management", "domainKnowledge" : "Transportation network; Sustainable growth", "domainList" : [ "transportation-network", "sustainable-growth" ], "domainSpecificKnowledge" : [ "Transportation network", "Sustainable growth" ], "innovationCreativity" : "Drive innovation", "outcomesObjectives" : "Supports safe growth; Supports efficient growth; Supports sustainable growth", "qualificationsBasic" : "Director level role, Strategic planning expertise, Leadership skills", "qualificationsPreferred" : "Visionary leader, Commitment to building transportation system, Enhances quality of life, Influence policy, Drive innovation, Lead talented team, Connected and future ready community", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced, visionary leader to serve as our Transportation Planning and Development Director. This director level role is responsible for shaping long-range mobility strategies, guiding major infrastructure initiatives, and ensuring that our transportation network supports safe, efficient, and sustainable growth. The ideal candidate brings a blend of strategic planning expertise, strong leadership skills, and a commitment to building a transportation system that enhances quality of life for all residents. This is an opportunity to influence policy, drive innovation, and lead a talented team dedicated to creating a connected and future ready community. Salary range for this position: Director of TP&D - B31 - $123,252.00 - $208,449.00 123,252.00 208,449.00", "summaryDescription" : "Director of Transportation Planning & Development. Skills: Transportation planning, Development, Mobility strategies, Infrastructure initiatives. Shape long-range mobility strategies. Guide major infrastructure initiatives", "createdAt" : "2026-06-14T00:59:03.866", "lastUpdated" : "2026-06-15T09:48:48.370", "ingestTimestamp" : "2026-06-14T00:59:03.866", "mongoId" : "696082670937eae70e9c8a78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 123252, "salaryAnnualMax" : 208449, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Leadership", "Transportation planning", "Development", "Mobility strategies", "Infrastructure initiatives", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Transportation network", "Sustainable growth" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f76f", "title" : "ESP FuSa Development and Test Planning Engineer", "company" : "Mercedes-Benz Group China Ltd", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 1000000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Automotive Lead Engineer in Beijing, China, adjusted for company size and industry." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-15T09:15:11.015", "fingerprint" : "7244331ab369498e2d46b5f06ebad9ed0ed3154820f478c35a38d9ee7de381f9", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895201", "externalId" : "895201", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "ESP FuSa, Brake control system, Embedded systems, Automotive engineering", "professionalSkills" : [ "System design", "Organizational skills", "Intercultural competence", "Production engineering" ], "hardSkillsList" : [ "Functional Safety analyses", "Failure Mode Avoidance", "Test planning", "Test execution", "Test analysis", "Component testing", "System testing", "Vehicle level testing", "Diagnostic issues" ], "softSkillsList" : [ "High commitment", "Agility", "Motivation", "Teamwork", "Self-motivate", "Optimism" ], "hardSkills" : [ { "name" : "Functional Safety analyses", "level" : "intermediate" }, { "name" : "Failure Mode Avoidance", "level" : "intermediate" }, { "name" : "Test planning", "level" : "intermediate" }, { "name" : "Test execution", "level" : "intermediate" }, { "name" : "Test analysis", "level" : "intermediate" }, { "name" : "Component testing", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Vehicle level testing", "level" : "intermediate" }, { "name" : "Diagnostic issues", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High commitment" }, { "name" : "Agility" }, { "name" : "Motivation" }, { "name" : "Teamwork" }, { "name" : "Self-motivate" }, { "name" : "Optimism" } ], "majorSkills" : "Functional Safety, ESP development, Test planning", "majorSkillsList" : [ "Functional Safety", "ESP development", "Test planning" ], "coreResponsibilities" : "Lead ESP FuSa development, Lead validation planning, Ensure system compliance, Perform Failure Mode Avoidance, Perform Functional Safety analyses, Collaborate with validation team, Develop test plans, Execute test plans, Define test cases, Develop test scripts, Analyze test results, Participate in testing phases, Work with chassis controls foundation team, Establish requirements, Track technological developments, Provide recommendations, Technical support to Joint Venture, Support engineering change implementation, Act as window person, Provide technical support for production, Support on system diagnostic issues, Work with Field Quality organization", "teamCollaboration" : "Cross-function team; Joint venture plant; RD HQ", "projectManagementSkills" : [ "Planning", "Organizational skills" ], "domainKnowledge" : "Automotive functional safety; ISO 26262; Brake control system; Chassis Systems SW/HW; Automotive products; Automotive technologies; Localized components", "domainList" : [ "automotive-functional-safety", "iso-26262", "brake-control-system", "chassis-systems-sw-hw", "automotive-products", "automotive-technologies", "localized-components" ], "domainSpecificKnowledge" : [ "Automotive functional safety", "ISO 26262", "Brake control system", "Chassis Systems SW/HW", "Automotive products", "Automotive technologies", "Localized components" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Solve difficult problems", "specialRequirements" : "Internal driving qualification", "qualificationsBasic" : "Master degree or above, Profound Chassis Systems SW/HW design, Testing and release knowledge, Proficient in automotive functional safety standards, Development processes, Chinese native speaker, Fluent English language skills, Adequate driving skills", "qualificationsPreferred" : "German language skills, MB or other OEM’s internal driving qualification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objectives: Being an ESP Functional Safety Development and Test Planning Engineer for such systems at Mercedes-Benz, you will have the chance to work on a wide span of responsibilities: Take lead of ESP FuSa development and validation planning, being involved for the full development cycle of the system: from requirements gathering and system design to prototyping, integration testing and release. Ensure system compliance with functional safety (ISO 26262) and corresponding local validation standards for brake control system. Perform Failure Mode Avoidance and Functional Safety analyses to examine potential failure modes and design suitable prevention strategies. Collaborate closely with the validation team to develop and execute comprehensive test plans to validate functionality, performance, stability, and adherence to requirements. This includes defining test cases, developing test scripts, and analyzing test results. Active participation in all testing phases, from component testing to system & vehicle level testing, is expected. Work with chassis controls foundation team to establish requirements for advanced brake control systems and emerging new technologies. Track the latest technological developments in the automotive industry and provide recommendations for continuous improvement of the ESP system. Technical support to Joint Venture BBAC RD Support engineering change implementation throughout product lifecycle of localized components of all locally produced Mercedes-Benz vehicles. Act as the window person between joint venture plant and RD HQ, provide technical support for production engineering issues. Support on system diagnostic issues for the Plant during tryout/pre-production/series production phases Working together with Field Quality organization on Chinese market issues Qualification: Education: Master degree or above, major in electrical engineering, computer engineering, information engineering, embedded systems, automotive engineering or a related engineering field Experience: Profound Chassis Systems SW/HW (EPS, ESP etc.) design, testing and release knowledge at OEMs or Tier1 suppliers Specific Knowledge: Proficient in automotive functional safety standards, development processes and toolchains; have an in-depth understanding and insights into the development trends of automotive products and technologies. Strong planning and organizational skills. Good intercultural competence and communication skills with various hierarchy levels. High commitment for automobiles and agility in diversified working packages. Strong Ownership and high Motivation to solve difficult problems with cross-function team. Strong teamwork spirit, willing to share, able to self-motivate, and influences the team with a positive, hardworking, and optimistic attitude. Chinese native speaker with fluent English language skills, German is a plus; Adequate driving skills. MB or other OEM’s internal driving qualification for hi-level dynamic driving testing preferred; Mercedes-Benz Group China Ltd.", "summaryDescription" : "ESP FuSa Development and Test Planning Engineer at Mercedes-Benz Group China Ltd. Skills: Functional Safety, ESP development, Test planning. Lead ESP FuSa development. Lead validation planning", "createdAt" : "2026-06-14T02:14:35.765", "lastUpdated" : "2026-06-15T09:15:11.015", "ingestTimestamp" : "2026-06-14T02:14:35.765", "mongoId" : "6a191e7758b93c861e39f76f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Functional Safety analyses", "Failure Mode Avoidance", "Test planning", "Test execution", "Test analysis", "Component testing", "System testing", "Vehicle level testing", "Diagnostic issues", "High commitment", "Agility", "Motivation", "Teamwork", "Self-motivate", "Optimism", "Functional Safety", "ESP development", "System design", "Organizational skills", "Intercultural competence", "Production engineering", "Planning", "Automotive functional safety", "ISO 26262", "Brake control system", "Chassis Systems SW/HW", "Automotive products", "Automotive technologies", "Localized components" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "69e1043b2beec4dd3def1e32", "title" : "Manager III, Business Intelligence, Routing and Planning", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, operations", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager III, Business Intelligence, Routing and Planning in Bengaluru, India, adjusted for seniority, company size, and logistics industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:40:56.209", "fingerprint" : "aef063cbe6e9e425b4824d54636035224105f99359ef8c4a4127d01f00125ad3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387036/apply", "externalId" : "219475b7-835b-4a3c-8501-eabff5afd298", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "SQL, R, Python, Weka, SAS, Matlab, Tableau, Quicksight", "professionalSkills" : [ "Business intelligence", "Analytics", "Data modeling", "ETL", "ELT", "Reporting", "Data visualization" ], "hardSkillsList" : [ "Statistical rigor", "Data analysis", "Business metrics", "Automated dashboards", "Analytic self-service" ], "softSkillsList" : [ "Leadership", "Analytical ingenuity" ], "hardSkills" : [ { "name" : "Statistical rigor", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business metrics", "level" : "intermediate" }, { "name" : "Automated dashboards", "level" : "intermediate" }, { "name" : "Analytic self-service", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Analytical ingenuity" } ], "majorSkills" : "Business Intelligence, Data Analytics, Team Management", "majorSkillsList" : [ "Business Intelligence", "Data Analytics", "Team Management" ], "coreResponsibilities" : "Create actionable business insights, Answer business questions, Drive business decisions, Develop recommendations to improve operations, Collaborate with Product Managers, software engineering, data science,, Design and develop analytic capabilities, Manage a team of Business Intelligence Engineers, Define and govern key business metrics, Build automated dashboards, Build analytic self-service capabilities, Engineer data-driven processes that drive business value, Develop analytic solutions, Shape work for junior team members, Present analyses, plans, and recommendations to senior leadership, Connect new ideas to drive change", "teamCollaboration" : "Cross-functional teams; Product Managers; Software engineering; Data science; Data engineering partners", "domainKnowledge" : "Last Mile delivery network; Last mile planning systems", "domainList" : [ "last-mile-delivery-network", "last-mile-planning-systems" ], "domainSpecificKnowledge" : [ "Last Mile delivery network", "Last mile planning systems" ], "toolProficiency" : [ "Tableau", "Quicksight", "SQL" ], "communicationSkills" : "Present analyses; Present plans; Present recommendations; Effective communication", "problemSolvingSkills" : "Analytical ingenuity; Navigate ambiguity", "outcomesObjectives" : "Accelerate scale of routes; Accelerate efficiency of routes; Accelerate quality of routes; Drive business value", "qualificationsBasic" : "7+ years business intelligence and analytics experience, 5+ years managing a business intelligence or analytics team, Experience working with business stakeholders, Experience in data warehouse technical architectures, Experience in data modeling, Experience in ETL/ ELT, Experience with reporting/analytic tools, Experience with data structures, Hands-on SQL coding, Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years quantitative and qualitative data science business intelligence with significant business impact experience, Experience leading and influencing the BI strategy of your team or organization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come help Amazon create data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the “magic” of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will lead a team of Business Intelligence Engineers, own reporting, and leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role. Key job responsibilities Key job responsibilities: · Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations · Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities · Manage a team of Business Intelligence Engineers. Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value · Navigate ambiguity to develop analytic solutions and shape work for junior team members Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience working directly with business stakeholders to translate between data and business needs - Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of quantitative and qualitative data science/business intelligence with significant business impact experience - Experience leading and influencing the BI strategy of your team or organization 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" : "Manager III, Business Intelligence, Routing and Planning at ADCI. Skills: Business Intelligence, Data Analytics, Team Management. Create actionable business insights. Answer business questions", "postedDate" : "2026-06-13T17:32:26.408", "createdAt" : "2026-06-13T17:32:26.408", "lastUpdated" : "2026-06-15T05:40:56.209", "ingestTimestamp" : "2026-06-13T17:32:26.408", "mongoId" : "69e1043b2beec4dd3def1e32", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387036/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical rigor", "Data analysis", "Business metrics", "Automated dashboards", "Analytic self-service", "Leadership", "Analytical ingenuity", "Business Intelligence", "Data Analytics", "Team Management", "Business intelligence", "Analytics", "Data modeling", "ETL", "ELT", "Reporting", "Data visualization", "Last Mile delivery network", "Last mile planning systems", "Tableau", "Quicksight", "SQL" ], "skillCount" : 22, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0d821658b93c861e9617fe", "title" : "Vice President, Facilities Planning and Management", "company" : "SMU", "industry" : "Education", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a VP of Facilities Planning and Management in Dallas, TX, adjusted for the education industry and executive seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "timestamp" : "2026-06-16T00:39:00.570", "fingerprint" : "8ce1e98175c3255f7cdcb8c84d50db776c4eedcf71a4c337c10eb61da62b6e71", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=77175", "externalId" : "77175", "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", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "coreResponsibilities" : "Develop and implement strategic plans, Oversee daily operations, Manage departmental budgets, Ensure compliance with regulations, Lead and mentor staff, Collaborate with stakeholders, Manage vendor relationships, Oversee facility maintenance, Develop and implement safety protocols, Manage capital projects, Develop and implement sustainability initiatives, Oversee space planning, Manage security operations, Develop and implement emergency preparedness plans, Oversee procurement processes, Manage risk and insurance, Develop and implement policies, Oversee record-keeping, Manage departmental performance, Ensure effective communication", "teamCollaboration" : "Cross-functional teams; University leadership; External vendors; Community partners", "projectManagementSkills" : [ "Capital project management", "Strategic planning" ], "domainKnowledge" : "Facilities management; Higher education operations; Real estate development; Construction management; Sustainability practices; Safety regulations; Procurement policies", "domainList" : [ "facilities-management", "higher-education-operations", "real-estate-development", "construction-management", "sustainability-practices", "safety-regulations", "procurement-policies" ], "domainSpecificKnowledge" : [ "Facilities management", "Higher education operations", "Real estate development", "Construction management", "Sustainability practices", "Safety regulations", "Procurement policies" ], "communicationSkills" : "Executive presentations; Board reporting", "problemSolvingSkills" : "Strategic problem-solving", "outcomesObjectives" : "Optimize facility utilization; Ensure operational efficiency; Manage budget effectively; Enhance campus safety; Achieve sustainability goals", "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 VP of Facilities Planning and Management is a high impact leadership role reporting directly to the Senior Vice President of Business and Finance. The role is responsible for the supervision, management, and oversight of campus master planning, architectural and interior design, capital construction and renovations, facilities services (custodial, grounds, and trades), energy management, real estate management, space planning and sustainability. With a footprint of over 150 buildings across 657 acres, the role will lead a team of 114 full-time staff, and manage a $21M operating budget. The role also provides administrative supervision for various contracts, vendors, and 3rd party service providers. The VP will direct and lead a professional team of project managers and related staff through every phase of major renovations and new-capital construction, from initial design and studies to final administration. The role will manage all residential and commercial real estate holdings owned by SMU. This includes overseeing leasing operations, tenant relationships, and capital renovations while ensuring leased spaces generate adequate returns. Additionally, the position is responsible for establishing and adhering to project budgets and the preparation of associated contracts, while maintaining direct accountability for the department's $21M annual operating budget. The VP will manage and oversee the university’s master planning initiatives and ensure all aspects of facilities and grounds improvements comply and adhere to the university’s master plan. The development and management of the university’s sustainability program, including the campus green building program, Climate Action Plan, and other initiatives related to sustainability efforts across campus will also be a key function for this position. Essential Functions: Overall management of Project Managers through oversight of construction projects from inception stage through constructions, close-out and warranty period. Participates in the development of project plans, schedules, contract/agreements, and budgets and administers construction activities for major renovation and new construction work Manage facilities services to include grounds, custodial and trades ensuring processes are well defined, service levels are monitored and managed, and work is conducted with a high level of customer service. Ensure 3rd party providers meet contractual requirements and properly maintain all of the campus physical assets). Work with 3rd party and other SMU staff to effectively and efficiently manage the campus energy needs and consumption. Manage all residential and commercial real estate holdings owned by SMU and related corporations. Provide administrative supervision and managerial leadership of staff. Manage and oversee the University’s sustainability program Manage and oversee compliance with the University master plan Create and manage an effective space management program to promote efficient use of physical resources and assist with planning efforts of major renovation projects and new construction projects Education and Experience: Bachelor’s degree required, preferably in architecture, engineering, or facilities management. License or certificates preferred, as appropriate based on degree. A minimum of seven (7) years or progressively responsible experience in facilities planning and management is required. A minimum of five years leading and managing teams is also required. Demonstrated success in managing a comprehensive facilities portfolio, including large-scale construction, space management, physical operations and maintenance, energy management, and sustainability initiatives is essential. Knowledge, Skills and Abilities: Candidate must demonstrate strong communication (oral, written and interpersonal) and customer service skills with the ability to communicate with all levels of the university, facilities management staff, leadership, and the public. Strong presentation skills are essential. Candidate must possess strategic problem-solving skills and the ability to navigate complex, shifting priorities and make independent, sound decisions. Must also have highly developed organizational, planning, and time management skills. Strong project management skills are essential. Candidates must have strong expertise in design, construction, and operational processes and systems. Must also have a commitment to sustaining a high-performing, service-oriented organization through strategic planning and goal achievement. Physical and Environmental Demands: Sit for long periods of time Bend, squat, stand Craw, climb, kneel Walk for long distances Reach above shoulders Handle objects (dexterity) Push/pull; carry/lift up to 26 lbs. Exposure to excessive noise Exposure to marked changes in temp/humidity Drive motorized equipment Around moving machinery Exposure to dust, fumes, gases, radiation, microwave Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by June 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" : "Vice President, Facilities Planning and Management at SMU. Develop and implement strategic plans. Oversee daily operations", "createdAt" : "2026-06-14T18:50:50.788", "lastUpdated" : "2026-06-16T00:39:00.570", "ingestTimestamp" : "2026-06-14T18:50:50.788", "mongoId" : "6a0d821658b93c861e9617fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Capital project management", "Strategic planning", "Facilities management", "Higher education operations", "Real estate development", "Construction management", "Sustainability practices", "Safety regulations", "Procurement policies" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "VP", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "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" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "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" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "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: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly 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 have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 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 Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. Analyze complex datasets", "createdAt" : "2026-06-14T19:52:47.793", "lastUpdated" : "2026-06-15T21:42:44.801", "ingestTimestamp" : "2026-06-14T19:52:47.793", "mongoId" : "694ae6e870f0b99d589b3a89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing", "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. 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BPS powers budget optimization, reach forecasting, and media planning recommendations for some of the world's largest brands — helping them decide where to invest across Streaming TV, Display, Sponsored Ads, and emerging channels. We're building the next generation of AI-powered planning infrastructure: a standalone BPS Agent that exposes budget optimization as composable skills via Model Context Protocol (MCP). Our systems serve multiple consumers — from the Ads Planner UI to AI agents (Smart DVA, Sales Assistant) to programmatic APIs used by agencies globally. Think multi-step optimization workflows, agentic orchestration, real-time forecasting, and intelligent budget allocation at scale. Key job responsibilities We're looking for software engineers who want to build at the intersection of AI agents, optimization systems, and advertising technology. You'll design and deliver: - Agentic skills and MCP tool integrations that expose budget optimization to consuming agents and platforms - Multi-step orchestration workflows that compose forecasting, optimization, and explainability services into coherent planning recommendations - Scalable APIs and batch endpoints serving real-time and programmatic consumers (internal agents, agency platforms, sales tools) - Machine learning-informed optimization services that allocate budgets across 40+ advertising channels using reach curves, audience overlap, and seasonal models You'll work across the stack — from TypeScript-based agent infrastructure to Python optimization services to distributed systems on AWS (Lambda, DDB, EMR, S3). Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CO, Boulder - 143,700.00 - 194,400.00 USD annually USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Media Planning and Measurement at Amazon.com Services LLC. Skills: AI agents, Optimization systems, Advertising technology. Design agentic skills. Integrate MCP tools", "postedDate" : "2026-06-13T14:03:36.922", "createdAt" : "2026-06-13T14:03:36.922", "lastUpdated" : "2026-06-15T08:10:50.572", "ingestTimestamp" : "2026-06-13T14:03:36.922", "mongoId" : "69fda4e34c40e2acd1b99767", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413575/apply", "salaryAnnualMin" : 158100, "salaryAnnualMax" : 213800, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture", "AI agents", "Optimization systems", "Advertising technology", "Reliability", "Scaling", "Budget optimization", "Media planning", "Advertising channels", "Reach curves", "Audience overlap", "Seasonal models", "Model Context Protocol" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a30a2adf292fd229c11ea68", "title" : "Senior Manager, Planning", "company" : "HelloFresh", "industry" : "Food & Beverage", "salary" : { "min" : 136710.0, "max" : 158100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irving, TX, United States", "locations" : [ "Irving", "TX", "United States" ], "timestamp" : "2026-06-16T12:38:03.616", "fingerprint" : "9669fbbeaffd3ec291b51b54ca265568c8251f56fa7d4f2fe65874360b936d76", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.hellofresh.com/global/en/job/7990167?gh_jid=7990167", "externalId" : "7990167", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irving", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.8295183,-96.9442177" } ], "locationText" : "Irving, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "Google sheets, MS Excel", "professionalSkills" : [ "Production planning", "Data analysis", "Analytical problem-solving", "Project management", "Organizational skills" ], "hardSkillsList" : [ "VLOOKUP", "Pivot Tables" ], "hardSkills" : [ { "name" : "VLOOKUP", "level" : "intermediate" }, { "name" : "Pivot Tables", "level" : "intermediate" } ], "majorSkills" : "Production planning, Operational risk, Process improvement", "majorSkillsList" : [ "Production planning", "Operational risk", "Process improvement" ], "coreResponsibilities" : "Manage team for on-time creation of daily production, Track progress to and deviations from the plan, Drive problem-solving and root cause analysis, Assess and identify potential Operational risks, Lead discussion of risks and plan changes, Utilize production planning tools, Track performance to ensure execution of production plans, Drive continuous improvement of Fulfillment Planning tools, Drive continuous improvement of Fulfillment Planning processes, Complete projects on schedule, Manage a team of Fulfillment Planning Managers", "teamCollaboration" : "Partner with other leaders; Cross-functional stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Distribution center operations; Logistics; Manufacturing environment", "domainList" : [ "distribution-center-operations", "logistics", "manufacturing-environment" ], "domainSpecificKnowledge" : [ "Distribution center operations", "Logistics", "Manufacturing environment" ], "toolProficiency" : [ "Google sheets", "MS Excel" ], "communicationSkills" : "Written communication; Verbal communication; Executive presence", "problemSolvingSkills" : "Analytical problem-solving; Root cause analysis", "specialRequirements" : "Working at least one weekend day", "outcomesObjectives" : "Deliver for our customers; Improve key performance indicators", "qualificationsBasic" : "Bachelors or Associates Degree, 3-8 years of experience in Production Planning, Proficiency in Google sheets and/or MS Excel", "qualificationsPreferred" : "Degree in Engineering, Mathematics, or Business/ Supply Chain, Experience within a distribution center, logistics, or manufacturing environment, Experience managing direct reports", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Fulfillment Planning team plays a central role in maintaining efficient Operations and delivering for our customers in a high-growth environment. Our Senior Planning Managers are responsible for end-to-end end-to-end production planning for our U. S. distribution centers, including addressing day-to-day operational risk, analytical problem-solving, and driving improvement of key performance indicators. We are looking for leaders with strong analytical and dive-deep skills, as well as excellent communication skills and executive presence, who can partner effectively with other leaders across functions to solve problems and execute high-level network decisions on a daily basis. Job Responsibilities Manage the team that is responsible for the on-time creation of daily production plans Track progress to and deviations from the plan, drive problem-solving and root cause analysis Assess and identify potential Operational risks; lead the discussion of risks and plan changes with other key business stakeholders such as Procurement, Logistics, HR and Operations leaders Utilize production planning tools and track performance to ensure the successful execution of production plans Take on projects to drive the continuous improvement of Fulfillment Planning tools and processes and complete them on schedule Manage a team of Fulfillment Planning Managers Report to the AD of Fulfillment Planning Key Characteristics Thought leader in developing solutions to cross-functional operational challenges Capable of thinking strategically about high-level business impacts as well as being familiar with the details of deliverables Proven ability to adapt quickly in changing situations and to use data to drive the right results Strong communication and collaboration skills to effectively develop cross-functional partnerships; open-minded, collaborative and team-oriented attitude Experience managing competing priorities and informing complex decision-making in an ambiguous environment Experience managing people and developing talent A commitment to professional integrity and ethics Basic Qualifications Bachelors or Associates Degree in Engineering, Mathematics, or Business/ Supply Chain preferred Organizational, project management skills, attention to detail and accuracy Excellent interpersonal, math, and written/verbal communication skills Proficiency in Google sheets and/or MS Excel required (VLOOKUP, Pivot Tables, etc.). 3-8 years of experience in Production Planning or related positions that require cross-functional collaboration and data analysis to influence stakeholders [Preferred] Experience within a distribution center, logistics, or manufacturing environment [Preferred] Experience managing direct reports Schedule This is a full-time (40 hours, 5 days per week) role that requires working at least one weekend day. Possible schedules include: Sunday - Thursday Tuesday - Saturday Exact days and hours worked are flexible You’ll get… Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities Generous PTO and flexible attendance policy Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_) Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+ Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors. Newark, NJ Pay Range $136,710—$158,100 USD", "summaryDescription" : "Senior Manager, Planning at HelloFresh. Skills: Production planning, Operational risk, Process improvement. Manage team for on-time creation of daily production. Track progress to and deviations from the plan", "postedDate" : "2026-06-16T03:17:13.556", "createdAt" : "2026-06-16T03:17:13.556", "lastUpdated" : "2026-06-16T12:38:03.616", "ingestTimestamp" : "2026-06-16T03:17:13.556", "mongoId" : "6a30a2adf292fd229c11ea68", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 136710, "salaryAnnualMax" : 158100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "VLOOKUP", "Pivot Tables", "Production planning", "Operational risk", "Process improvement", "Data analysis", "Analytical problem-solving", "Project management", "Organizational skills", "Distribution center operations", "Logistics", "Manufacturing environment", "Google sheets", "MS Excel" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7d5974d8ee00a094f99b", "title" : "Program Planning and Communications Specialist", "company" : "Freedom Technology Solutions Group", "industry" : "Government", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Program Planning and Communications Specialist in Columbia, United States, adjusted for the technology industry and part-time employment." }, "location" : "Columbia, Maryland, United States", "locations" : [ "Columbia", "Maryland", "United States" ], "timestamp" : "2026-06-15T12:57:29.848", "fingerprint" : "28b9d948eaa1d7417bc1f67421b7730055b9756a484d846b48123ba7d7cf8a7d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freedomconsulting/jobs/5162247007", "externalId" : "5162247007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1938429,-76.8646092" } ], "locationText" : "Columbia, Maryland, United States", "employmentType" : "PART_TIME", "professionalSkills" : [ "Corporate communications", "Customer communication" ], "hardSkillsList" : [ "Content editing", "Content drafting" ], "hardSkills" : [ { "name" : "Content editing", "level" : "intermediate" }, { "name" : "Content drafting", "level" : "intermediate" } ], "majorSkills" : "Program planning, Communications strategy, Internal communications", "majorSkillsList" : [ "Program planning", "Communications strategy", "Internal communications" ], "coreResponsibilities" : "Oversee internal communications, Develop program documentation, Maintain program documentation, Coordinate distribution of correspondence, Explore new written channels, Coordinate initiatives for events, Develop communication plans for events, Liaise with customer's public affairs, Handle public affairs requests, Build relationships with stakeholders, Maintain relationships with stakeholders, Collaborate with web developers, Collaborate with graphic designers, Produce copy for materials, Support development of communication strategies, Support implementation of communication strategies", "teamCollaboration" : "Collaborate with web developers; Collaborate with graphic designers; Collaborate with marketing professionals", "projectManagementSkills" : [ "Program planning" ], "communicationSkills" : "Internal communications; Customer communication; Corporate communication strategies; Drafting new materials; Event information; Written communication; Verbal communication", "documentationSkills" : "Program documentation; Planning materials; Board charters; Schedules; Action tracking; Briefings", "continuousLearning" : "Paid training; Tuition reimbursement", "problemSolvingSkills" : "Identifying opportunities for process improvements", "specialRequirements" : "Active security clearance, Polygraph", "outcomesObjectives" : "Drive impactful outreach; Drive engagement", "qualificationsBasic" : "Active security clearance with polygraph, Excellent written and verbal communication, Organizational skills, Interpersonal skills", "qualificationsPreferred" : "Experience crafting messages for diverse audiences, Experience with executive leadership messaging, Identifying and recommending process improvements", "workSiteFlexibility" : "Flexible", "rawDescription" : "Freedom Technology Solutions Group is seeking a part-time Program Planning and Communications Specialist based in McLean, with an emphasis on communications. This role requires expertise in managing internal communications across digital and print platforms, updating and editing existing content, drafting new materials -- such as event information for the customer’s website -- and developing and implementing effective corporate communication strategies to drive impactful outreach and engagement. Responsibilities: Oversee internal communications across both digital and print mediums. Develop and maintain program documentation, including planning materials, board charters, schedules, action tracking, and briefings for senior leadership. Coordinate the distribution of correspondence and documentation to external stakeholders to ensure effective information flow for the office. Explore and identify new written channels for effective customer communication. Coordinate initiatives and develop communication plans for events and conferences. Liaise with the customer's public affairs office and handle requests. Build and maintain strong relationships with leadership stakeholders. Collaborate with web developers, graphic designers, and/or marketing professionals to produce copy for digital and/or print materials. Support the development and implementation of communication strategies and messaging on behalf of senior leadership. Qualifications Active security clearance with polygraph. Excellent written and verbal communication, organizational, and interpersonal skills. Proven expertise in corporate communications, with preferred experience in crafting messages for diverse audiences, including broad customer bases and executive leadership. Skilled in identifying and recommending opportunities for process improvements within the program. Demonstrated ability to collaborate to gather and consolidate critical data. What’s in It for You? Flexible work environment A team mentality – work with friendly, like-minded professionals Work with innovative, cutting edge technologies Enjoy extremely competitive compensation and benefits A work-life balance you can count on Opportunities to grow and advance your career on our dime The Benefits You Get with Freedom Amazing benefits including matching 401k, fully paid medical, and more Generous paid time off – including paid site closure days Competitive salary offerings Paid training and tuition reimbursement Referral bonuses Fully paid life and disability Annual logo wear allowance Company sponsored events (game nights, holiday party, summer party, happy hours) Interested in learning more about Freedom and our culture? Contact us today! We’re constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status Applicant Federal & E-Verify Postings VEVRAA Federal Contractor Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at Phone: 410-290-9035 Email: recruiting@goftsg.com Equal Opportunity Employer, including disabled and veterans. If you want to view the EEO Law poster, please choose your language: English - Spanish - Arabic - Chinese If you want to view the EEO Law Supplement poster, please choose your language: English - Spanish - Chinese If you want to view the Pay Transparency Policy Statement, please click the link: English", "summaryDescription" : "Program Planning and Communications Specialist at Freedom Technology Solutions Group. Skills: Program planning, Communications strategy, Internal communications. Oversee internal communications. Develop program documentation", "postedDate" : "2026-06-13T22:26:17.033", "createdAt" : "2026-06-13T22:26:17.033", "lastUpdated" : "2026-06-15T12:57:29.848", "ingestTimestamp" : "2026-06-13T22:26:17.033", "mongoId" : "6a2c7d5974d8ee00a094f99b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Content editing", "Content drafting", "Program planning", "Communications strategy", "Internal communications", "Corporate communications", "Customer communication" ], "skillCount" : 7, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e44c40e2acd1b9995e", "title" : "Finance Manager, WW Operations Insights, Planning, Analytics and Technology Team", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 95400.0, "max" : 163200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "certifications" : [ "CPA" ], "timestamp" : "2026-06-15T02:40:11.789", "fingerprint" : "2969145e1e89a52cbd3d35f0d889421ca39fe4d83f77fbd46ae81878206376ff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412949/apply", "externalId" : "b285785a-8b62-4336-9781-261de1ceacfd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL", "professionalSkills" : [ "Financial reporting", "Process improvement", "Automation", "Controllership", "Financial analysis", "Financial planning", "Cost analysis" ], "hardSkillsList" : [ "Month end reporting", "Financial modeling", "Variance analysis", "Data interpretation" ], "softSkillsList" : [ "Autonomy", "Integrity", "Curiosity", "Continuous improvement" ], "hardSkills" : [ { "name" : "Month end reporting", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Autonomy" }, { "name" : "Integrity" }, { "name" : "Curiosity" }, { "name" : "Continuous improvement" } ], "majorSkills" : "Financial reporting, Process automation, Cross-functional leadership", "majorSkillsList" : [ "Financial reporting", "Process automation", "Cross-functional leadership" ], "coreResponsibilities" : "Own WW Operations month end reporting, Partner with WW Operations teams, Setup scalable processes and controls, Own setting up governance build, Maintain processes, Partner with stakeholder teams, Improve controllership, Drive finance communication, Drive automation scale financial reporting, Simplify process for internal stakeholders, Use AI tools draft refine narratives, Spearhead key automation projects, Achieve high-impact results, Enhance operational efficiency, Contribute to month end close, Contribute to cost business reviews, Contribute to network scale initiatives, Perform ad-hoc analysis", "teamCollaboration" : "Cross-functional partnership; Partner with operations; Partner with supply chain; Partner with finance; Partner with support teams; Collaborate across Finance; Collaborate across Technology", "projectManagementSkills" : [ "Process improvement", "Automation projects" ], "domainKnowledge" : "Operations Insights; WW Operations; Controllership", "domainList" : [ "operations-insights", "ww-operations", "controllership" ], "domainSpecificKnowledge" : [ "Operations Insights", "WW Operations", "Controllership" ], "toolProficiency" : [ "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "communicationSkills" : "Finance communication", "continuousLearning" : "Continuous improvement", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Improve controllership with measurable results; Drive financial performance and strategy; Deliver accurate timely financial models; Achieve high-impact results; Enhance operational efficiency", "qualificationsBasic" : "5+ years tax, finance or analytical field, 5+ years multiple finance accounting roles, 6+ years Accounts Receivable or Payable, 6+ years applying financial KPIs, 6+ years building financial operational reports, 6+ years creating process improvements automation, 6+ years participating continuous improvement projects, 5+ years dissecting financial data, 5+ years leading cross-functional initiatives, Bachelor's degree engineering, statistics or business, Bachelor's degree and 5+ years quantitative role", "qualificationsPreferred" : "6+ years identifying incomplete inaccurate data, 6+ years solving complex business challenges, MBA or CPA, Knowledge of SQL/ETL, Experience large-scale data mining reporting tools, Experience with financial systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon, we're working to be the world’s most customer-centric company. Driving innovation on behalf of customers is core to our mission, and this position supports one of our largest business to deliver on this mission. As member of the Operations Insights, Planning, Analytics and Technology (IPAT) team, this position owns WW Operations month end reporting. The Finance Manager will partner with the World Wide Operations teams to setup scalable processes and controls. The Finance Manger will need to own setting up governance framework; build and maintain processes while partnering with stakeholder teams to improve controllership. The Finance Manager will need to be capable of operating with a high degree of autonomy, and hence needs to demonstrate a high degree of comfort with ambiguity besides holding a high bar on professional integrity. The successful candidate will have a high attention to detail, unlimited curiosity, and a strong passion for continuous improvement. This role requires extensive cross-functional partnership with various operations, supply chain, finance, and other support teams to identify and address cost opportunities across the network. This individual will contribute to month end close, cost business reviews, network scale initiatives, and ad-hoc analysis. Key job responsibilities - Driving finance communication with diverse partner teams on operational performance and financial impact - Drive automation and scale of financial reporting by simplifying process for internal stakeholders (e.g. finance peers and business partners). - Use AI tools to draft and refine financial narratives, business cases, and strategic documents that align with Amazon's writing principles - Spearhead key automation projects, collaborating across Finance and Technology teams to achieve high-impact results and enhance operational efficiency About the team Our team is collaborative and knowledgeable. We work in a supportive environment where expertise is shared freely and invent and simplify is highly encouraged. There are numerous opportunities to improve the status quo by working with stakeholders across World Wide Operations, implementing better processes, and driving meaningful change through financial analysis and planning. Basic Qualifications: - 5+ years of tax, finance or a related analytical field experience - 5+ years of multiple finance and accounting roles experience - 6+ years of Accounts Receivable or Account Payable experience - 6+ years of applying key financial performance indicators (KPIs) to analyses experience - 6+ years of building financial and operational reports/data sets that inform business decision-making experience - 6+ years of creating process improvements with automation and analysis experience - 6+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - 5+ years of dissecting financial data and identifying patterns that support business strategy experience - 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Preferred Qualifications: - 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience - 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience - MBA, or CPA - Knowledge of SQL/ETL - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) - Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 95,400.00 - 163,200.00 USD annually", "summaryDescription" : "Finance Manager, WW Operations Insights, Planning, Analytics and Technology Team at Amazon.com Services LLC. Skills: Financial reporting, Process automation, Cross-functional leadership. Own WW Operations month end reporting. 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You will act as a trusted advisor to the CIO and IT leadership team (with a particular focus on the Executive Director Product Development), ensuring that technology investments are aligned with strategic priorities and deliver measurable business value. This position is part of the Financial Planning & Cost Controlling team, offering a central role in driving both technology investment decisions and overall cost transparency. 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Anonymously and free of charge. * Personal Development: We are all constantly learning. That's why we support and foster your career development through internal & external training and help you grow. * Mobility: Your commute matters to us. We provide our employees with a fully costed Deutschland Ticket which can be used at any time. * Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.", "summaryDescription" : "Finance Business Partner - Tech Development and Investments (m/f/d) at Redcare Pharmacy. Skills: Finance business partner, Technology investment, Cost transparency. Act as strategic finance business partner. 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You will act as a trusted advisor to the CIO and IT leadership team (with a particular focus on the Executive Director Product Development), ensuring that technology investments are aligned with strategic priorities and deliver measurable business value. This position is part of the Financial Planning & Cost Controlling team, offering a central role in driving both technology investment decisions and overall cost transparency. 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Anonymously and free of charge. * Personal Development: We are all constantly learning. That's why we support and foster your career development through internal & external training and help you grow. * Mobility: Your commute matters to us. We provide our employees with a fully costed Deutschland Ticket which can be used at any time. * Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.", "summaryDescription" : "Finance Business Partner - Tech Development and Investments (m/f/d) at Redcare Pharmacy. Skills: Finance business partnering, Technology investment, Cost transparency. Act as strategic finance business partner. 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We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. About the Role At Redcare Pharmacy, we are advancing healthcare through digital, customer-centric solutions. Technology plays a critical role in this journey. To support our ongoing investments and innovation at scale, we are looking for a Finance Business Partner who combines strong financial and commercial expertise with a genuine interest in digital transformation. In this role, you will be at the center of decision-making for technology investments. You will develop robust business cases, support the prioritization of initiatives based on value impact, and help establish structured processes for investment evaluation and governance. You will act as a trusted advisor to the CIO and IT leadership team (with a particular focus on the Executive Director Product Development), ensuring that technology investments are aligned with strategic priorities and deliver measurable business value. This position is part of the Financial Planning & Cost Controlling team, offering a central role in driving both technology investment decisions and overall cost transparency. About your tasks: * Act as a strategic finance business partner to the CIO and top level Technology leadership, serving as a trusted financial co-pilot to guide decision-making. * Provide financial guidance to shape IT strategy and enable high-impact, data-driven decisions. * Co-develop and refine investment prioritization and capital allocation frameworks. * Lead and support the development of robust business cases for high-impact initiatives. * Ensure capital is allocated to the highest value-creating opportunities. * Own technology cost and investment reporting across the function. * Ensure accurate, transparent, and IFRS-compliant financial reporting. * Monitor budgets and investment performance, balancing financial discipline with strategic flexibility. ## Qualifications About You: * 4–6 years of experience in Controlling, Finance, or a similar role * Strong analytical capabilities paired with a pragmatic, business-oriented mindset * Affinity with digital business models and/or experience in eCommerce environments * Confident communicator, able to engage with senior stakeholders across functions * Proactive, curious, and driven to improve processes and challenge the status quo * Comfortable working in a fast-paced, international environment * Solid understanding of IFRS, particularly CapEx vs. OpEx distinctions ## Additional Information About your Benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: * Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. * Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties. * Kindergarten Grant: We offer our employees who pay for childcare in kindergarten 100,00 € (total) per month. * Mental health: Get quick professional help from psychologists from nilo if you feel overwhelmed in your personal or professional life. Anonymously and free of charge. * Personal Development: We are all constantly learning. That's why we support and foster your career development through internal & external training and help you grow. * Mobility: Your commute matters to us. We provide our employees with a fully costed Deutschland Ticket which can be used at any time. * Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.", "summaryDescription" : "Finance Business Partner - Tech Development and Investments (m/f/d) at Redcare Pharmacy. Skills: Finance business partnering, Technology investment, Cost transparency. Act as strategic finance business partner. 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The stated salary range reflects Dutch compensation structures and forms part of an attractive overall package that includes additional benefits. As tax and social security systems differ between countries, salary levels are only partly comparable. During the recruitment process, we will be happy to provide a transparent overview of all contractual and compensation-related components. About Redcare Pharmacy: As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. About the Role At Redcare Pharmacy, we are advancing healthcare through digital, customer-centric solutions. Technology plays a critical role in this journey. To support our ongoing investments and innovation at scale, we are looking for a Finance Business Partner who combines strong financial and commercial expertise with a genuine interest in digital transformation. In this role, you will be at the center of decision-making for technology investments. You will develop robust business cases, support the prioritization of initiatives based on value impact, and help establish structured processes for investment evaluation and governance. You will act as a trusted advisor to the CIO and IT leadership team (with a particular focus on the Executive Director Product Development), ensuring that technology investments are aligned with strategic priorities and deliver measurable business value. This position is part of the Financial Planning & Cost Controlling team, offering a central role in driving both technology investment decisions and overall cost transparency. About your tasks: * Act as a strategic finance business partner to the CIO and top level Technology leadership, serving as a trusted financial co-pilot to guide decision-making. * Provide financial guidance to shape IT strategy and enable high-impact, data-driven decisions. * Co-develop and refine investment prioritization and capital allocation frameworks. * Lead and support the development of robust business cases for high-impact initiatives. * Ensure capital is allocated to the highest value-creating opportunities. * Own technology cost and investment reporting across the function. * Ensure accurate, transparent, and IFRS-compliant financial reporting. * Monitor budgets and investment performance, balancing financial discipline with strategic flexibility. ## Qualifications About You: * 4–6 years of experience in Controlling, Finance, or a similar role * Strong analytical capabilities paired with a pragmatic, business-oriented mindset * Affinity with digital business models and/or experience in eCommerce environments * Confident communicator, able to engage with senior stakeholders across functions * Proactive, curious, and driven to improve processes and challenge the status quo * Comfortable working in a fast-paced, international environment * Solid understanding of IFRS, particularly CapEx vs. OpEx distinctions ## Additional Information About your Benefits: To best support you with your individual needs—whether it's leading a healthy life, having enough time for yourself, or developing your skills—we offer a wide range of location-specific benefits: * Travel Allowance: Not all employees live close to our office. Therefore, we support your daily commute with a travel allowance. This compensation is in addition to your salary. * Vacation: We offer 28 vacation days and an annual vacation bonus (8% of your annual gross salary) in addition to your salary. * Company Pension Plan: Your future is important to us, which is why we offer you an excellent and contribution-free company pension plan. * Employee Discounts: Several times a year, we offer discounted employee sales directly on-site, as well as a 10% discount on our online selection. * Development: Grow! We support and promote your personal development through various internal and external training programs. * Redcare Events: We foster team building through creative team events and celebrate our successes together at regularly held parties. * Sports: We have our own fitness room that you can use during your break or before/after work. Additionally, during your breaks, you can enjoy the cozy relaxation room, table tennis, or foosball. * Mental health: Get quick professional help from psychologists from [nilo](https://nilohealth.com/) if you feel overwhelmed in your personal or professional life. Anonymously and free of charge.", "summaryDescription" : "Finance Business Partner - Tech Development and Investments (m/f/d) at Redcare Pharmacy. Skills: Finance business partnering, Technology investment, Cost transparency. Act as strategic finance business partner. 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The stated salary range reflects Dutch compensation structures and forms part of an attractive overall package that includes additional benefits. As tax and social security systems differ between countries, salary levels are only partly comparable. During the recruitment process, we will be happy to provide a transparent overview of all contractual and compensation-related components. About Redcare Pharmacy: As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. About the Role At Redcare Pharmacy, we are advancing healthcare through digital, customer-centric solutions. Technology plays a critical role in this journey. To support our ongoing investments and innovation at scale, we are looking for a Finance Business Partner who combines strong financial and commercial expertise with a genuine interest in digital transformation. In this role, you will be at the center of decision-making for technology investments. You will develop robust business cases, support the prioritization of initiatives based on value impact, and help establish structured processes for investment evaluation and governance. You will act as a trusted advisor to the CIO and IT leadership team (with a particular focus on the Executive Director Product Development), ensuring that technology investments are aligned with strategic priorities and deliver measurable business value. This position is part of the Financial Planning & Cost Controlling team, offering a central role in driving both technology investment decisions and overall cost transparency. About your tasks: * Act as a strategic finance business partner to the CIO and top level Technology leadership, serving as a trusted financial co-pilot to guide decision-making. * Provide financial guidance to shape IT strategy and enable high-impact, data-driven decisions. * Co-develop and refine investment prioritization and capital allocation frameworks. * Lead and support the development of robust business cases for high-impact initiatives. * Ensure capital is allocated to the highest value-creating opportunities. * Own technology cost and investment reporting across the function. * Ensure accurate, transparent, and IFRS-compliant financial reporting. * Monitor budgets and investment performance, balancing financial discipline with strategic flexibility. ## Qualifications About You: * 4–6 years of experience in Controlling, Finance, or a similar role * Strong analytical capabilities paired with a pragmatic, business-oriented mindset * Affinity with digital business models and/or experience in eCommerce environments * Confident communicator, able to engage with senior stakeholders across functions * Proactive, curious, and driven to improve processes and challenge the status quo * Comfortable working in a fast-paced, international environment * Solid understanding of IFRS, particularly CapEx vs. OpEx distinctions ## Additional Information About your Benefits: To best support you with your individual needs—whether it's leading a healthy life, having enough time for yourself, or developing your skills—we offer a wide range of location-specific benefits: * Travel Allowance: Not all employees live close to our office. 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"6a307f27f292fd229c055b0f", "title" : "Program Manager, Regional Demand Planning, Devices and Services", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Program Manager in London, UK, with adjustments for the technology industry and full-time employment." }, "location" : "[London, UK, [1 St Giles High St, London WC2H 8JR, UK], London, WC2H 8JR, England, GB]", "locations" : [ "[London, UK, [1 St Giles High St, London WC2H 8JR, UK], London, WC2H 8JR, England, GB]" ], "timestamp" : "2026-06-16T11:32:52.007", "fingerprint" : "a5b4c963235e4a8787c29e0a1f0d79b4c46fcab849665179bed1bbdec485d414", "source" : "google", "language" : "en", "externalId" : "89617666666308294", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Program Manager, Regional Demand Planning, Devices and Services", "postedDate" : "2026-06-16T01:48:35.515", "createdAt" : "2026-06-16T01:48:35.515", "lastUpdated" : "2026-06-16T11:32:52.007", "ingestTimestamp" : "2026-06-16T01:48:35.515", "mongoId" : "6a307f27f292fd229c055b0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69cf3f092beec4dd3d934388", "title" : "Program Manager, Intraweek planning Caps and Forecasting, BR Trans Execution", "company" : "Amazon Logistica do Brasil", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, no business category", "salary" : { "min" : 215000.0, "max" : 345000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Logistics in Osasco, Brazil, adjusted for Amazon's company size and industry." }, "location" : "Osasco, Sao Paulo, BRA", "locations" : [ "Osasco, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T02:00:28.874", "fingerprint" : "74ae476b2e0b15aeab235551062c7546f96cb15665d8c189eb2533debfb92fec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381155/apply", "externalId" : "fda6b7b5-dc21-4ef7-ac34-d717ef28b001", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Osasco", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5324859,-46.7916801" } ], "locationText" : "Osasco, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "BI analytics, Tableau, AWS QuickSight, Cognos", "professionalSkills" : [ "Capacity planning", "Operations planning", "Business analysis" ], "hardSkillsList" : [ "Forecasting", "Data analysis" ], "softSkillsList" : [ "Negotiating" ], "hardSkills" : [ { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiating" } ], "majorSkills" : "Program management, Process improvement, Forecasting", "majorSkillsList" : [ "Program management", "Process improvement", "Forecasting" ], "coreResponsibilities" : "Define program mission, Define program vision, Define program philosophy, Set program goals, Analyze program data, Drive improvements by metrics, Lead implementation of IWP Caps, Lead implementation of Forecasting processes, Adapt best practices, Understand business problems, Understand automation limitations, Understand Scaling Factors, Understand technological constraints, Understand leadership decisions, Manage multiple projects, Manage multiple tasks, Influence internal business partners, Negotiate with internal business partners, Communicate with internal business partners, Oversee gaps between teams, Oversee gaps between processes, Oversee gaps between systems, Identify business risks, Mitigate business risks, Ensure critical path timelines are met, Understand resource needs, Make project priorities visible, Work closely with operations teams, Work closely with product teams, Work closely with engineering teams, Identify root causes, Solve complex problems, Improve system functionality, Improve system reliability, Collaborate with BI analysts, Collaborate with engineers, Plan analytical solutions, Build analytical solutions, Achieve business objectives, Launch new programs, Drive improvements in processes, Drive improvements in technologies", "teamCollaboration" : "Transportation teams; Last Mile Tech teams; Operations teams; Business Development teams; BI analysts; Engineers; Product teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Last mile delivery; Capacity Planning; Scheduling; Forecasting; On Road Management", "domainList" : [ "last-mile-delivery", "capacity-planning", "scheduling", "forecasting", "on-road-management" ], "domainSpecificKnowledge" : [ "Last mile delivery", "Capacity Planning", "Scheduling", "Forecasting", "On Road Management" ], "toolProficiency" : [ "Tableau", "AWS QuickSight", "Cognos" ], "communicationSkills" : "Convey complex ideas", "innovationCreativity" : "Develop original ideas", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree, Knowledge of BI analytics, Experience in fast-paced, Experience engaging stakeholders, Experience defining program requirements, Experience working cross functionally, Speak, write, and read fluently in English", "qualificationsPreferred" : "Experience in program management, Experience in logistics, Experience in operations, Experience in supply chain, Experience in transportation, Experience building teams, Experience managing teams, Experience coaching teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a Program Manager to join our team, launch new programs, and drive improvements in the processes and technologies used within Trans Execution BR in Brazil. The Program Manager must be able to stand out and grow in a new team with a high degree of ambiguity. In this role, you will think big, develop original ideas, and directly influence and collaborate with the Transportation, Last Mile Tech, Operations, and Business Development teams to expand Trans Execution BR in Brazil. Key job responsibilities • Define the program (mission, vision, philosophy), set goals, analyze data, and drive improvements quantified by metrics • Lead the implementation of IWP Caps and Forecasting processes in Brazil, adapting best practices to the local context • Understand business problems, automation limitations, Scaling Factors, technological constraints, and the context of leadership decisions to drive the program • Manage multiple projects and tasks simultaneously, influencing, negotiating, and communicating with internal business partners • Oversee gaps between teams, processes, and systems • Identify and mitigate business risks before they become obstacles • Ensure critical path timelines are met, resource needs are understood, and project priorities are visible to Senior Management • Work closely with operations, product, and engineering teams to identify root causes and solve complex problems related to improving system functionality and reliability • Collaborate with BI analysts and engineers on planning and analysis to build analytical solutions that achieve business objectives About the team Trans Execution BR is a team that explores new approaches and ways of working at Amazon Logistics, offering scalable solutions to operate increasingly complex and growing last mile delivery networks. Trans Execution BR is responsible for critical processes such as Capacity Planning, Scheduling, Forecasting, and On Road Management, with the vision of continuously transforming these processes in a scalable manner. In Brazil, we are building the IWP Caps and Forecasting team and are looking for a Program Manager to lead this expansion. Basic Qualifications: - Bachelor's degree - Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools - Experience in a fast-paced, high-tech company, or experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround - Experience engaging, verbally and in writing, with internal and external stakeholders to convey complex ideas in a clear, concise manner - Experience defining program requirements and using data and metrics to determine improvements - Experience working cross functionally with tech and non-tech teams - Speak, write, and read fluently in English Preferred Qualifications: - Experience in program management, logistics, operations, supply chain, transportation, or equivalent - Experience in capacity planning, operations planning, business analysis or equivalent - Experience building, managing and coaching a team in a high-growth environment 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" : "Program Manager, Intraweek planning Caps and Forecasting, BR Trans Execution at Amazon Logistica do Brasil. Skills: Program management, Process improvement, Forecasting. Define program mission. Define program vision", "postedDate" : "2026-06-13T13:56:03.106", "createdAt" : "2026-06-13T13:56:03.106", "lastUpdated" : "2026-06-15T02:00:28.874", "ingestTimestamp" : "2026-06-13T13:56:03.106", "mongoId" : "69cf3f092beec4dd3d934388", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381155/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Forecasting", "Data analysis", "Negotiating", "Program management", "Process improvement", "Capacity planning", "Operations planning", "Business analysis", "Last mile delivery", "Capacity Planning", "Scheduling", "On Road Management", "Tableau", "AWS QuickSight", "Cognos" ], "skillCount" : 15, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69f9b8034c40e2acd1114047", "title" : "Software Development Engineer, Media Planning Applications", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boulder, Colorado, USA", "locations" : [ "Boulder, Colorado, USA" ], "timestamp" : "2026-06-15T01:00:38.467", "fingerprint" : "b5cb5420a02f59e8eac38f35170051bb6c2c21db096a47ab6bfbe084c68ac851", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410092/apply", "externalId" : "b65fe0cf-158b-4451-bc39-ed2ff0d02c45", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boulder", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.0149856,-105.2705450" } ], "locationText" : "Boulder, Colorado, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Big data technologies, Machine learning", "professionalSkills" : [ "System design", "Reliability", "Scaling", "Sustained operational excellence" ], "hardSkillsList" : [ "Advanced analytics", "Insight products" ], "hardSkills" : [ { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Insight products", "level" : "intermediate" } ], "majorSkills" : "Software development, System design, Big data, Machine learning", "majorSkillsList" : [ "Software development", "System design", "Big data", "Machine learning" ], "coreResponsibilities" : "Design brand new systems, Develop brand new systems, Own technical vision, Own technical direction, Develop complex systems, Innovate using big data technologies, Leverage machine learning concepts, Own scalable systems, Design scalable systems, Deliver scalable systems, Scope new features, Design new features, Implement new features, Test new features, Launch new features, Solve difficult problems, Collaborate with other engineers, Collaborate with scientists, Collaborate with program stakeholders, Collaborate with product stakeholders", "teamCollaboration" : "Agile development team; Product managers", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Online advertising; Media planning", "domainList" : [ "online-advertising", "media-planning" ], "domainSpecificKnowledge" : [ "Online advertising", "Media planning" ], "innovationCreativity" : "Innovate", "problemSolvingSkills" : "Simplifying complex problems; Tackling challenges", "qualificationsBasic" : "5+ years non-internship professional software development experience, 5+ years programming experience, 5+ years leading design or architecture experience, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team", "qualificationsPreferred" : "5+ years full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Application deadline: Jun 4, 2026 Amazon is continuing to invest in its Worldwide Online Display Advertising business to tap into the growing online advertising market. Amazon is using its first class technology and unique user insights to become the go-to solution for the world’s largest advertising agencies and advertisers. The Media Planning team is building the next generation of products and services that will fuel the growth of Amazon’s advertising business. Advertiser success is core to Amazon’s growth, as it helps our suppliers drive awareness, consideration, and purchase of their products by hundreds of millions of consumers around the world, and generates revenue which helps us lower prices and invest in improvements to our customer experience. We are looking for passionate software development engineers to design and develop brand new systems that serve the needs of our large and growing base of advertisers. You will share in the ownership of the technical vision and direction for advanced analytics and insight products. You will be a part of a team of top notch technical professionals developing complex systems at scale and with a focus on sustained operational excellence. Members of this team will be challenged to innovate using big data technologies and leveraging machine learning concepts. We are looking for people who are motivated by thinking big, moving fast, and changing the way customers use data to drive profitability. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you. Impact and Career Growth: You’ll be responsible for owning, designing and delivering highly scalable systems that will be used by advertisers to help them plan their ad campaigns for better execution. You’ll work as part of an agile development team together with product managers to scope, design, implement, test and launch new features. You will enjoy innovation, simplifying complex problems and tackling challenges. A day in the life As a software development engineer on Media Planning team, you will frequently work on features that solve key business problems for our customers. You will get to solve difficult problems with high degree of technical complexity and ambiguity. You will collaborate with other engineers, scientists, program and product stakeholders on a daily basis. About the team Media Planning team highly values individual career growth and employee satisfaction. We use multiple mechanisms to get direct feedback from employees and action them. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CO, Boulder - 168,100.00 - 227,400.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Software Development Engineer, Media Planning Applications at Amazon.com Services LLC. Skills: Software development, System design, Big data, Machine learning. Design brand new systems. Develop brand new systems", "postedDate" : "2026-06-13T06:41:56.167", "createdAt" : "2026-06-13T06:41:56.167", "lastUpdated" : "2026-06-15T01:00:38.467", "ingestTimestamp" : "2026-06-13T06:41:56.167", "mongoId" : "69f9b8034c40e2acd1114047", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410092/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Advanced analytics", "Insight products", "Software development", "System design", "Big data", "Machine learning", "Reliability", "Scaling", "Sustained operational excellence", "Agile", "Online advertising", "Media planning" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a660774d8ee00a062b925", "title" : "Planning and Ops Manager, SIMS", "company" : "ASSPL", "industry" : "Buying, Planning, Instock Management, Sales/Account Management, Retail", "salary" : { "min" : 1750000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Planning and Ops Manager in E-commerce in Bengaluru, India, adjusted for company size and industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T06:27:28.062", "fingerprint" : "10a1b09e7b1c9b7990daf9a55bf4fa8258bf0e850cb8162ebebc392eee351475", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443500/apply", "externalId" : "d67aa387-df99-4eb5-a060-a87a4d6105f6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Excel, Access, SQL", "professionalSkills" : [ "Supply chain excellence", "Operational performance", "Inventory health", "Business cases", "Project management" ], "hardSkillsList" : [ "Data analysis", "Performance metrics", "Cost reduction", "Lead time reduction", "Waste reduction", "Program monitoring", "Data management" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" }, { "name" : "Cost reduction", "level" : "intermediate" }, { "name" : "Lead time reduction", "level" : "intermediate" }, { "name" : "Waste reduction", "level" : "intermediate" }, { "name" : "Program monitoring", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" } ], "majorSkills" : "Operational performance, Supply chain, Sales experience", "majorSkillsList" : [ "Operational performance", "Supply chain", "Sales experience" ], "coreResponsibilities" : "Ensure seller operational performance delivery, Ensure vendor operational performance delivery, Lead execution for operations excellence programs, Identify strategic importance of metrics, Articulate strategic importance of metrics, Manage tradeoffs, Improve customer experience, Make decisions with stakeholders, Work with vendor operations teams, Reduce cost, Reduce lead time, Reduce waste, Define programs, Prioritize programs, Monitor program execution, Create business cases, Write business cases, Review business cases, Perform supporting research, Perform supporting analysis, Write specifications, Drive product development schedule, Retrieve data, Analyze data, Monitor program delivery, Ensure program integrity", "teamCollaboration" : "Work with stakeholders; Work with category leaders; Work with planning managers; Work with forecasting managers; Work with operations team; Work with technology teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Marketplace business; Supply chain; Inventory management", "domainList" : [ "marketplace-business", "supply-chain", "inventory-management" ], "domainSpecificKnowledge" : [ "Marketplace business", "Supply chain", "Inventory management" ], "communicationSkills" : "Write business cases", "problemSolvingSkills" : "Data analysis; Problem solving", "outcomesObjectives" : "Deliver on key Ops programs; Make Amazon India business sustainable; Make Amazon India business profitable", "qualificationsBasic" : "3+ years of sales experience, 4+ years of B2B sales experience, Experience analyzing data, Experience closing sales, Generating revenue", "qualificationsPreferred" : "Experience with sales CRM tools, Salesforce or similar software, Influencing C-level executives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a dynamic, organized and self-starting Planning and Ops Manager who can drive innovation, set up the processes and execute in the space of operational and supply chain excellence in Amazon India business. This becomes all the more challenging in India where the mode of business is marketplace. You will own operational performance of sellers / vendors on marketplace, influence FC Ops processes and work with various stakeholders to protect vendor & customer experience. You will also be in-charge of driving system/process improvements working with Seller ISMs, SC Ops teams, vendor operations, and delivering on key Ops programs which makes the Amazon India business sustainable and profitable in the long term. You will create, write and review business cases, perform supporting research and analysis, and develop solutions from conceptualization to execution and monitoring. This position requires strong self-motivation, self-starting and project management skills. The ideal candidate will have the ability to work closely with all the category leaders, planning and forecasting managers, operations team, and technology teams to develop strategy, dashboards, and modes of execution to solve complex inbound and inventory health operation problems Key job responsibilities  Ensure seller / vendor operational performance delivery on inbound and inventory health operations are inline with targets  Lead execution for key inbound and inventory health operations excellence programs  Identify and articulate strategic importance of metrics as a basis for managing tradeoffs, improving the customer experience and making decisions with internal and external stakeholders  Work closely with vendor operations teams on strategies to reduce cost, lead time, and waste across the end-to-end supply chain  Define, prioritize, and monitor to execution the programs/projects to achieve targets be delivered on time  Create, write and review business cases, perform supporting research and analysis, write specifications, and drive the product development schedule from strategy to execution.  Retrieve and analyze data using Excel, Access, SQL or other data management systems  Monitor program execution and ensure that the program delivery is to the appropriate levels of quality and in line with its target date, ensuring the overall integrity within the program Basic Qualifications: - 3+ years of sales experience - 4+ years of B2B sales experience - Experience analyzing data and best practices to assess performance drivers - Experience closing sales and generating revenue Preferred Qualifications: - Experience with sales CRM tools such as Salesforce or similar software - Experience influencing C-level executives 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" : "Planning and Ops Manager, SIMS at ASSPL. Skills: Operational performance, Supply chain, Sales experience. Ensure seller operational performance delivery. Ensure vendor operational performance delivery", "postedDate" : "2026-06-13T15:58:19.296", "createdAt" : "2026-06-13T15:58:19.296", "lastUpdated" : "2026-06-15T06:27:28.062", "ingestTimestamp" : "2026-06-13T15:58:19.296", "mongoId" : "6a2a660774d8ee00a062b925", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443500/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Performance metrics", "Cost reduction", "Lead time reduction", "Waste reduction", "Program monitoring", "Data management", "Operational performance", "Supply chain", "Sales experience", "Supply chain excellence", "Inventory health", "Business cases", "Project management", "Marketplace business", "Inventory management" ], "skillCount" : 16, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f052beec4dd3d9340ac", "title" : "Data Engineer, SCOT WW Long Term Planning and Forecasting", "company" : "ADCI HYD 13 SEZ", "industry" : "Software Development, Data Engineering, operations", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Hyderabad, India, adjusted for the E-commerce industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T01:58:29.395", "fingerprint" : "8bd2ffe81302524baba7fa6c13eff0cacf402039878c88462d2ee8e1831323ea", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382301/apply", "externalId" : "5d5973f1-1d9b-4998-b826-c59933150aac", "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" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, ETL, AWS, Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, Object storage, Document stores, Key-value stores, Graph databases, Column-family databases", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Business requirements", "Reporting solutions", "Data pipelines", "Technology direction", "Data engineering team", "Backend data solutions", "Analytic support", "Product improvements", "Design problems", "Database storage" ], "hardSkillsList" : [ "Data modeling", "Data warehousing", "ETL pipelines", "SQL" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data warehousing, ETL", "majorSkillsList" : [ "Data engineering", "Data warehousing", "ETL" ], "coreResponsibilities" : "Build data solutions, Maintain data warehouse implementations, Develop tools for data integration, Identify storage technologies, Architect storage technologies, Execute projects, Deliver data pipelines, Define continuous improvement processes, Drive technology direction, Lead data engineering team, Support backend data solutions, Create technical content, Provide consultation, Gather feedback, Design new features, Deliver new features, Deploy data solutions, Provide operational support, Automate fixes for operational issues, Leverage AWS services, Integrate applications", "teamCollaboration" : "Multiple internal teams; Other engineers; Internal teams; Data product managers; Engineering teams", "domainKnowledge" : "Long-Term Forecasting; Demand forecasting; Inventory planning; Cube plans; Data warehouse environments; Supply Chain Optimization", "domainList" : [ "long-term-forecasting", "demand-forecasting", "inventory-planning", "cube-plans", "data-warehouse-environments", "supply-chain-optimization" ], "domainSpecificKnowledge" : [ "Long-Term Forecasting", "Demand forecasting", "Inventory planning", "Cube plans", "Data warehouse environments", "Supply Chain Optimization" ], "communicationSkills" : "Business communication; Customer consultation", "documentationSkills" : "Documentation abilities", "innovationCreativity" : "Innovative approaches", "problemSolvingSkills" : "Solve design problems", "qualificationsBasic" : "3+ years of data engineering experience, 4+ years of SQL experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As an Amazon Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. We are Long-Term Forecasting and Planning Team. We own highly scalable services to manage demand forecasting for Amazon WW, determining inventory and cube plans for millions of items stored in Amazon warehouses across the globe. You should have deep expertise in the design, creation, management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in a fast paced environment understanding the business requirements and implementing reporting solutions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change. Key job responsibilities This role requires an Engineer with 4+ years experience in building data solutions, combined with both consulting and hands-on expertise. The position involves helping to build new and maintain existing data warehouse implementations, developing tools to facilitate data integration, identifying and architecting appropriate storage technologies, executing projects to deliver high-quality data pipelines on time, defining continuous improvement processes, driving technology direction, and effectively leading the data engineering team. You will work with multiple internal teams who need support in managing backend data solutions. Using your deep technical expertise, strong relationship-building skills, and documentation abilities, you will create technical content, provide consultation to customers, and gather feedback to drive the AWS analytic support offering. As the voice of the customer, you will work closely with data product managers and engineering teams to help design and deliver new features and product improvements that address critical customer challenges. A day in the life A typical day on our team involves collaborating with other engineers to deploy new data solutions through our large automated systems while providing operational support for your newly deployed software. You will seek out innovative approaches to automate fixes for operational issues, leverage AWS services to solve design problems, and engage with other internal teams to integrate your applications with theirs. You'll be part of a world-class team in an inclusive environment that maintains the entrepreneurial feel of a startup. This is an opportunity to operate and engineer systems on a massive scale and to gain top-notch experience in database storage technologies About the team We are the LTPF team under Supply Chain Optimization Technologies (SCOT). SCOT is the name of a complex group of systems designed to make the best decisions when it comes to forecasting, buying, placing, and shipping inventory. Functionally these teams work together to drive in-stock, drive placement, drive inventory removal and manage the customer experience. Basic Qualifications: - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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 Engineer, SCOT WW Long Term Planning and Forecasting at ADCI HYD 13 SEZ. Skills: Data engineering, Data warehousing, ETL. Build data solutions. Maintain data warehouse implementations", "postedDate" : "2026-06-13T03:13:40.944", "createdAt" : "2026-06-13T03:13:40.944", "lastUpdated" : "2026-06-15T01:58:29.395", "ingestTimestamp" : "2026-06-13T03:13:40.944", "mongoId" : "69cf3f052beec4dd3d9340ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382301/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "SQL", "Data engineering", "ETL", "Business requirements", "Reporting solutions", "Data pipelines", "Technology direction", "Data engineering team", "Backend data solutions", "Analytic support", "Product improvements", "Design problems", "Database storage", "Long-Term Forecasting", "Demand forecasting", "Inventory planning", "Cube plans", "Data warehouse environments", "Supply Chain Optimization" ], "skillCount" : 22, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f052beec4dd3d9340bb", "title" : "Support Engineer, SCOT WW Long Term Planning and Forecasting", "company" : "ADCI HYD", "industry" : "Software Development, Support Engineering, operations", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Support Engineer in Hyderabad, India, with 2+ years of experience in the technology industry, adjusted for company size and specific role responsibilities." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:30:17.007", "fingerprint" : "bbce034e0d56c32567aff3c13d2eec6ebefcc9ab61462cf74465b1924eea78f8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382262/apply", "externalId" : "651d8001-17f1-4c44-8d56-e563a108b2c9", "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" : 2, "technicalSkills" : "Python, REST, XML, JSON", "professionalSkills" : [ "Application Support" ], "hardSkillsList" : [ "Software development", "Technical support", "Scripting", "Troubleshooting", "Debugging", "Software deployment", "Software migration", "Automation" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Technical support", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Software deployment", "level" : "intermediate" }, { "name" : "Software migration", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Forecasting, Planning, Support Engineering", "majorSkillsList" : [ "Forecasting", "Planning", "Support Engineering" ], "coreResponsibilities" : "Troubleshoot computer-identified alarms, Debug computer-identified alarms, Evaluate computer-identified alarms, Perform software deployments, Perform software migrations, Host management, Automate routine operational tasks, Develop tools, Develop automation, Modify software", "domainKnowledge" : "Supply Chain Optimization; Long-Term Forecasting; Inventory forecasting; Cube forecasting; Forecasting platform", "domainList" : [ "supply-chain-optimization", "long-term-forecasting", "inventory-forecasting", "cube-forecasting", "forecasting-platform" ], "domainSpecificKnowledge" : [ "Supply Chain Optimization", "Long-Term Forecasting", "Inventory forecasting", "Cube forecasting", "Forecasting platform" ], "problemSolvingSkills" : "Troubleshooting; Debugging", "specialRequirements" : "On call", "qualificationsBasic" : "2+ years software development, 2+ years technical support, Experience scripting modern languages, Experience troubleshooting technical systems, Experience debugging technical systems", "qualificationsPreferred" : "Knowledge of web services, Knowledge of distributed systems, Knowledge of web application development, Experience troubleshooting hardware RAID, Experience maintaining hardware RAID, Experience troubleshooting software RAID, Experience maintaining software RAID, Experience with REST web services, Experience with XML, Experience with JSON", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Supply Chain Optimization Technologies (SCOT) org is looking for Support Engineer to join the Long-Term Forecasting and Planning Team. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We own highly scalable services that power worldwide customer demand, inventory, and cube forecasting. Your work will drive inventory and cube plans for millions of products across Amazon’s global fulfillment network and influence multi-billion-dollar build decisions. This program is building a brand-new forecasting platform that delivers coherent, accurate, global-scale predictions. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Support engineers troubleshoot, debug, evaluate and resolve computer-identified alarms, perform software deployments and migrations, host management and automate routine operational tasks. The position requires a combination of strong troubleshooting, technical and communication skills and includes a mix of on call and operational tasks and may involve small-project software development work. Support Engineers also develop tools and automation to achieve human free operations. They use the right tool for the job, and modify software in a way that leverages the overall system architecture. If you have a strong Application Support background, are interested in growth and have passion to develop tools at large scale, this is the opportunity for you. About the team We are the LTPF team under Supply Chain Optimization Technologies (SCOT). SCOT is the name of a complex group of systems designed to make the best decisions when it comes to forecasting, buying, placing, and shipping inventory. Functionally these teams work together to drive in-stock, drive placement, drive inventory removal and manage the customer experience. Basic Qualifications: - 2+ years of software development, or 2+ years of technical support experience - Experience scripting in modern program languages - Experience troubleshooting and debugging technical systems Preferred Qualifications: - Knowledge of web services, distributed systems, and web application development - Experience troubleshooting & maintaining hardware & software RAID - Experience with REST web services, XML, JSON 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" : "Support Engineer, SCOT WW Long Term Planning and Forecasting at ADCI HYD. Skills: Forecasting, Planning, Support Engineering. Troubleshoot computer-identified alarms. Debug computer-identified alarms", "postedDate" : "2026-06-13T06:49:49.611", "createdAt" : "2026-06-13T06:49:49.611", "lastUpdated" : "2026-06-15T02:30:17.007", "ingestTimestamp" : "2026-06-13T06:49:49.611", "mongoId" : "69cf3f052beec4dd3d9340bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382262/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Technical support", "Scripting", "Troubleshooting", "Debugging", "Software deployment", "Software migration", "Automation", "Forecasting", "Planning", "Support Engineering", "Application Support", "Supply Chain Optimization", "Long-Term Forecasting", "Inventory forecasting", "Cube forecasting", "Forecasting platform" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693072a070f0b99d58ffb4ee", "title" : "Software Development Manager, Media Planning Applications", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 166400.0, "max" : 287700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:52:05.259", "fingerprint" : "4b073d7d8944cdb9061c3965ddb1400100fc1a0f2182fe08df975dffffca469a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3134748/apply", "externalId" : "aaf02f6d-61e4-429f-a04d-aadf0162b907", "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", "experienceLevel" : "Manager", "technicalSkills" : "APIs, Web services", "professionalSkills" : [ "Technical leadership", "Product roadmap", "Architecture decisions", "Operational excellence", "Team building", "Team development", "Technical discussions", "Recruiting", "Process establishment", "Customer obsession", "Product collaboration", "UX collaboration", "Science collaboration", "Finance collaboration", "Business metrics", "Reporting", "API development", "Programmatic APIs", "Reliability", "Performance", "Accuracy", "Organizational leadership", "Product development", "Technology decisions" ], "hardSkillsList" : [ "Budget optimization", "Data-driven decisions", "Budget recommendations", "Forecasting", "Planning insights", "System integration", "Performance metrics", "Measurement techniques", "Career development", "Technical challenge", "API endpoint", "Budget forecasting", "System performance", "Latency reduction", "Algorithm improvements", "Advertiser engagement", "Budget recommendation models", "Code review", "Pull requests", "Strategic thinking", "Advertiser success", "Media planning", "Data science", "Product development", "Large-scale data processing", "Actionable recommendations", "Channel planner", "Ads planner", "Media planning tools", "Experimentation", "Innovation", "Business success" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Budget optimization", "level" : "intermediate" }, { "name" : "Data-driven decisions", "level" : "intermediate" }, { "name" : "Budget recommendations", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Planning insights", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" }, { "name" : "Performance metrics", "level" : "intermediate" }, { "name" : "Measurement techniques", "level" : "intermediate" }, { "name" : "Career development", "level" : "intermediate" }, { "name" : "Technical challenge", "level" : "intermediate" }, { "name" : "API endpoint", "level" : "intermediate" }, { "name" : "Budget forecasting", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "Latency reduction", "level" : "intermediate" }, { "name" : "Algorithm improvements", "level" : "intermediate" }, { "name" : "Advertiser engagement", "level" : "intermediate" }, { "name" : "Budget recommendation models", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" }, { "name" : "Pull requests", "level" : "intermediate" }, { "name" : "Strategic thinking", "level" : "intermediate" }, { "name" : "Advertiser success", "level" : "intermediate" }, { "name" : "Media planning", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Product development", "level" : "intermediate" }, { "name" : "Large-scale data processing", "level" : "intermediate" }, { "name" : "Actionable recommendations", "level" : "intermediate" }, { "name" : "Channel planner", "level" : "intermediate" }, { "name" : "Ads planner", "level" : "intermediate" }, { "name" : "Media planning tools", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Innovation", "level" : "intermediate" }, { "name" : "Business success", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Software development management, Budget planning services, Advertiser optimization", "majorSkillsList" : [ "Software development management", "Budget planning services", "Advertiser optimization" ], "coreResponsibilities" : "Own technical vision, Drive architecture decisions, Ensure high standards, Build engineering team, Grow engineering team, Lead technical discussions, Establish processes, Develop leaders, Foster technical excellence, Foster customer obsession, Collaborate with Product, Collaborate with UX, Collaborate with Science, Work with Finance, Lead API development, Ensure APIs meet standards, Drive adoption of services, Serve as key leader, Contribute to growth, Share best practices, Drive technology decisions, Review progress, Address blockers, Discuss priorities, Conduct 1:1s, Discuss career development, Provide guidance, Review architecture proposals, Participate in operational review, Analyze system performance, Discuss improvements, Interview candidates, Collaborate on model accuracy, Review code, Provide feedback", "teamCollaboration" : "Cross-functional partners; Product; UX; Science; Engineering teams; Finance teams; Partner disciplines; Ads Planner; Amazon advertising tools; MADS Reach Planning; Measurement team; Channel Planner; Media Planning Tools", "projectManagementSkills" : [ "Project schedules", "Status reports", "Roadmap" ], "domainKnowledge" : "Media planning; Budget optimization; Advertising platforms; Return on ad spend; Data science; Reach planning; Measurement; Budget planning services; Advertiser data; Advertising data", "domainList" : [ "media-planning", "budget-optimization", "advertising-platforms", "return-on-ad-spend", "data-science", "reach-planning", "measurement", "budget-planning-services", "advertiser-data", "advertising-data" ], "domainSpecificKnowledge" : [ "Media planning", "Budget optimization", "Advertising platforms", "Return on ad spend", "Data science", "Reach planning", "Measurement", "Budget planning services", "Advertiser data", "Advertising data" ], "communicationSkills" : "Status reports; Business metrics; Reporting", "innovationCreativity" : "Innovate; Experiment; Innovate", "problemSolvingSkills" : "Mitigating risks; Data-driven decisions; Technical challenge; System performance; Latency reduction; Algorithm improvements; Budget recommendation models", "outcomesObjectives" : "Deliver systems; Deliver results; Deliver right product; Demonstrate value; Maximize return on ad spend", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 3+ years system design/architecture, 8+ years web services development, Knowledge of engineering practices, Experience partnering with product management", "qualificationsPreferred" : "Experience communicating with users, Experience communicating with technical teams, Experience communicating with senior leadership, Experience recruiting engineers, Experience hiring engineers, Experience mentoring engineers, Experience managing engineers, Experience improving engineer skills, Experience making engineers effective", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon's Measurement and Data Science (MADS) Reach Planning and Measurement team is seeking an experienced Software Development Manager (L6) to lead the Budget Planning Services team. This team is responsible for building intelligent budget optimization tools that help advertisers make data-driven decisions about their advertising spend across Amazon's advertising platforms. We provide budget recommendations, forecasting capabilities, and planning insights that enable advertisers to maximize their return on ad spend. As the leader of this team, you will own the technical vision and product roadmap for budget planning services, working closely with cross-functional partners including Product, UX, Science, and other engineering teams. You'll build and grow a high-performing engineering team while delivering systems that serve a large and growing base of advertisers through both user interfaces and programmatic APIs. Key job responsibilities Technical Leadership & Vision * Own the technical vision and direction for budget planning services, identifying and mitigating risks while constructing project schedules and preparing status reports * Drive architecture decisions for systems that integrate with media planning data tables, Ads Planner, and other MADS-PAT systems * Ensure high standards for operational excellence, as our products reach hundreds of millions of customers around the world and run 24x7x365 * Embrace performance metrics and measurement techniques to assess how well system-related services are running Team Building & Development * Build and grow an engineering team that delivers results, wearing multiple hats from coaching individuals to leading technical discussions, recruiting, and establishing processes * Develop more leaders within your group, creating a creative atmosphere that lets engineers innovate while holding them accountable for making smart decisions and delivering results * Foster a culture of technical excellence and customer obsession Product & Cross-Functional Collaboration * Collaborate with Product, UX, and Science partners to ensure we're focused on delivering the right product for customers * Work with Finance teams on business metrics and reporting that demonstrate the value of budget planning services * Build and maintain effective relationships between engineering and partner disciplines API & Integration Development * Lead the development of APIs that expose budget recommendations programmatically, enabling integration with Ads Planner and other Amazon advertising tools * Ensure APIs meet high standards for reliability, performance, and accuracy * Drive adoption of budget planning services through both UI and programmatic channels Organizational Leadership * Serve as a key leader within Amazon's advertising organization, specifically within the MADS Reach Planning and Measurement team * Contribute to the overall growth of our product development organization * Share best practices and technical acumen to drive technology decisions across the organization A day in the life As the Software Development Manager for Budget Planning Services, your day might include: * Starting with a standup with your team to review progress on the latest budget recommendation algorithm improvements and address any blockers * Meeting with Product and partners to review advertiser engagement metrics and discuss priorities for the next quarter * Conducting a 1:1 with a senior engineer to discuss their career development and provide guidance on a complex technical challenge * Reviewing architecture proposals for a new API endpoint that will enable programmatic access to budget forecasting capabilities * Participating in an operational review to analyze system performance metrics and discuss improvements to reduce latency * Interviewing a candidate for a software development engineer position on your team * Collaborating with the Science team on improving the accuracy of budget recommendation models * Ending the day by reviewing code and providing feedback on pull requests from your team You'll balance strategic thinking with hands-on technical leadership, ensuring your team delivers high-quality software while growing their skills and careers. You'll work in a fast-paced environment where you can see the direct impact of your team's work on advertiser success. About the team The Budget Planning Services team is part of the MADS Reach Planning and Measurement organization within Amazon Advertising. We're a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit and bias for action. Our mission is to help advertisers optimize their media planning investments through intelligent budget recommendations and insights. We work at the intersection of engineering, data science, and product development, building systems that process large-scale advertising data to provide actionable recommendations. Our team collaborates closely with other teams in MADS-PAT including Channel Planner, Ads Planner, and Media Planning Tools teams. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. We're looking for a leader who can thrive in a startup environment, thinks big, can move fast, and wants to change the way customers use data to drive business success. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers 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 $166,400/year in our lowest geographic market up to $287,700/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" : "Software Development Manager, Media Planning Applications at Amazon.com Services LLC. Skills: Software development management, Budget planning services, Advertiser optimization. Own technical vision. 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Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We’re Everpure—the company reinventing storage and data management as a living system so organizations can unleash the power of their data in the AI era. To fuel this next chapter, we’re looking for a Director, Planning and Performance for the Global Partner Organization who is equal parts strategist, operator, and change-maker. This is not a maintenance role. This leader will serve as the operating partner to the VP of the Global Partner Organization, helping drive alignment, execution, rigor, and follow-through across a complex, fast-moving team. This role is for someone who can bring order, judgment, and momentum to ambiguous problems, and who knows how to orchestrate work across multiple leaders without needing formal authority over every outcome. In many cases, this person will not be the sole doer—they will be the coordinator, connector, and closer who ensures the right work happens, by the right people, at the right time. The impact of this role will be significant. This person will help drive closer alignment and unity across the team, increase operating productivity, represent the Global Partner Organization in the right forums, and reduce the number of balls dropped by bringing stronger planning discipline, follow-through, and preparation into the business cadence. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU'LL DO Drive business rhythm and execution Act as the orchestrator and closer for high-priority initiatives that require coordination across multiple leaders in the Global Partner Organization. Bring structure, follow-up, and disciplined execution to the VP’s priorities so initiatives move from discussion to decision to completion. Build and run the operating cadence for the business, including QSR planning, leadership reviews, key checkpoints, and follow-through on actions. Ensure the VP and leadership team are prepared for critical moments, including webinars, videos, media interviews, steering committees, executive reviews, and other high-visibility engagements. Get ahead of deadlines and dependencies so materials are developed with quality and intention—not finished minutes before presentation. Increase alignment across leaders and teams Partner closely with leaders across the Global Partner Organization to create clarity on priorities, owners, dependencies, and timelines. Drive alignment and execution of business plans across cross-functional stakeholders and partner teams. Serve as connective tissue across the organization, ensuring decisions are socialized, actions are tracked, and teams stay in sync. Help create greater unity across the GPO leadership team by reinforcing shared priorities, common operating principles, and accountability. Represent the Global Partner Organization Represent the VP and the Global Partner Organization in meetings where leadership presence is needed but the session does not require the VP directly or is not the best fit for another leader. Act as a credible proxy and business representative in cross-functional forums, ensuring the team is informed, well-represented, and connected to broader decisions and changes. Maintain close engagement with peers in similar business operations, strategy, and chief-of-staff-like roles across other functions to keep the organization in the loop and effectively represented. Lead planning, metrics, and operational rigor Define and manage operational metrics, dashboards, and reporting to measure business performance and identify areas for improvement. Partner with leaders to define KPIs, team goals, and success measures, including ownership and tracking in Workday where appropriate. Help the organization use data-driven insights and recommendations to inform decisions, spot risks early, and improve execution quality. Support QSR planning and scorecard discipline so the business has a consistent and credible view of progress, gaps, and actions. Build mechanisms that improve preparedness, follow-through, and accountability across the leadership team. Shape communications and content Partner with the Enablement team and other key stakeholders to develop content for all hands and other internal leadership communications. Nurture the sense of community across the One Partner Team, through communication, activities, and facilitating leadership outreach. Help translate strategy, priorities, and progress into clear, actionable narratives for leaders and teams. Ensure communications and materials are aligned, well-timed, and fit for audience and purpose. WHAT YOU BRING 12+ years of experience in business operations, strategy, chief of staff, program management, or a related operating role. Experience supporting senior executives and leading cross-functional initiatives in a global, matrixed environment. Track record of improving operating cadence, execution discipline, and team alignment. Experience with KPI definition, dash-boarding, goal-setting, and business review preparation. Experience partnering with sales, partner, go-to-market, enablement, finance, or operations teams is strongly preferred. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $211,000—$301,000 USD WHAT YOU CAN EXPECT FROM US: Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®! Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. 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QUALIFICATIONS: - - 6+ years of experience in Financial Analytics, Strategic Finance, Growth Analytics, or a similarly rigorous role within a subscription, DTC, or consumer technology business. - Strong financial modeling skills; comfortable building and refining driver-based forecasts that support executive planning. - Demonstrated ability to deeply understand business models and connect operational drivers to financial outcomes. - Strong track record building business cases and evaluating strategic tradeoffs using structured analytical frameworks. - High bar for analytical integrity and a bias toward accuracy over narrative. - Advanced SQL proficiency required; experience working with complex data models in Snowflake, dbt, or similar environments preferred. - Strong executive presence; able to defend assumptions and recommendations clearly and confidently. - Proven ability to align stakeholders with differing priorities around shared, data-driven conclusions. - Self-starter with a player-coach mentality - equally comfortable shaping strategy and diving deep into the underlying data and models. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. 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"jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4972beec4dd3d931aba", "title" : "Software Development Engineer, Media Planning and Measurement", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:22:12.679", "fingerprint" : "fc1117a9c12bfd25f3ca142753384268ea21a1619fb6d2db6e82803561d401e2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384607/apply", "externalId" : "046afb74-f9e7-4e05-aa84-b2084f268fd0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New 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"Media planning; Reach planning; Media strategies; Media mixes; Cross-product reach forecasting; Full-funnel budget allocation", "domainList" : [ "media-planning", "reach-planning", "media-strategies", "media-mixes", "cross-product-reach-forecasting", "full-funnel-budget-allocation" ], "domainSpecificKnowledge" : [ "Media planning", "Reach planning", "Media strategies", "Media mixes", "Cross-product reach forecasting", "Full-funnel budget allocation" ], "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, 1+ years large-scale software applications, 1+ years Object Oriented Design, Experience programming one language", "qualificationsPreferred" : "3+ years full software development lifecycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads is a fast-growing business at Amazon, delivering billions of ad impressions and millions of clicks daily through a portfolio of self-service performance advertising products that drive discovery and sales for our Retail and Marketplace businesses. We're seeking a Software Development Engineer to own and evolve our media planning tools and advance reach planning functionality to deliver more accurate, actionable media plans for agencies and advertisers. You will focus on building the new agentic experience, enabling media planners and strategists to build media strategies and optimize media mixes through natural language conversation. These agentic skills help planners from getting instant answers to simple questions to exploring complex topics, including cross-product reach forecasting and full-funnel budget allocation strategies. This is a high-visibility role where shared ownership, intellectual curiosity, and customer obsession drive everything we build. Key job responsibilities - Design and build the core system of the agent workflow, owning the full development lifecycle from problem definition through production deployment. - Own technical solutions end-to-end: decompose broad problem statements into concrete designs, write the code, and ship to customers. - Deliver production-ready software through iterative development cycles with frequent releases. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Media Planning and Measurement at Amazon.com Services LLC. Skills: Media planning, Agentic experience, Natural language conversation. Design core system. 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As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe transportation is more than movement, it’s the foundation of connected, thriving communities. As part of HDR’s Transportation Business Group, you’ll help shape the systems that move people and goods safely, efficiently, and sustainably. From designing resilient highways and iconic bridges to advancing transit, passenger and freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and quality of life. We bring together planners, engineers, architects, construction management staff, environmental, strategic communications, economists, management consultants and specialists across disciplines to solve complex mobility challenges with innovation, technical excellence, and a deep understanding of community needs. Whether you're modernizing aging infrastructure or pioneering next-generation transportation solutions, your contributions will help define the future of mobility. This isn’t just a job, it’s a chance to lead progress, drive meaningful impact, and leave a legacy of smarter, more connected transportation networks. We are all employee-owners at HDR, which is the foundation of our collaborative culture that connects employees around the world. In the role of Transportation Planning Intern, we'll count on you to: Assist with collecting, assimilating, and managing project-related data Assist with preparing constraints mapping and required documents Assist in preparation and participation of public information meetings and hearings Assist in preparation of project reports, tables, and presentations Apply standard planning techniques and procedures Perform assignments under the direct supervision of a professional or Project Manager Perform other duties as needed Preferred Qualifications Prefer 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry Actively pursuing Bachelor's or Master's degree in engineering or urban planning/public administration Local candidates preferred ", "summaryDescription" : "Transportation Planning Intern at HDR. Skills: Transportation planning. Assist with collecting data. 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Skills: Financial planning, Financial analysis. 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Model builders; Architects; Business users; Anaplan Model Builders; BY ESP Developers; Data Engineering teams; Business Planning users; Agile ceremonies; Sprint reviews", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Supply Chain Planning; Demand Planning; Supply Planning; Inventory Management; S&OP; MDM; PLM; P2P cycles; O2I cycles; Solver-based planning", "domainList" : [ "supply-chain-planning", "demand-planning", "supply-planning", "inventory-management", "s-op", "mdm", "plm", "p2p-cycles", "o2i-cycles", "solver-based-planning" ], "domainSpecificKnowledge" : [ "Supply Chain Planning", "Demand Planning", "Supply Planning", "Inventory Management", "S&OP", "MDM", "PLM", "P2P cycles", "O2I cycles", "Solver-based planning" ], "toolProficiency" : [ "Jira", "Azure DevOps" ], "documentationSkills" : "Document test cases; Document test results; Document release notes; Document test evidence", "problemSolvingSkills" : "Problem-solving; Analytical skills; Root cause analysis", "specialRequirements" : "Work on site 4 days a week, Support global planning operations aligned with US PST time zone", "qualificationsBasic" : "Bachelor's degree in supply chain, Engineering, Computer Science, Business, or related field, 2-3 years of experience in QA testing, Basic understanding of supply chain planning concepts, Experience executing functional and regression test cases, Basic knowledge of SQL for data validation, Familiarity with defect tracking tools, Understanding of integration testing and data reconciliation, Ability to document test cases and results clearly", "qualificationsPreferred" : "Exposure to Anaplan or Blue Yonder (JDA) planning applications, Understanding of solver-based planning concepts, Experience testing ERP-integrated systems, Familiarity with APIs and file-based integrations, Exposure to Agile methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: QA Testing Engineer – Planning Applications Location: Hyderabad, India Reports To: Planning Delivery Lead Job Summary: We are seeking a motivated and detail-oriented QA Testing Engineer to support end-to-end testing of enterprise Supply Chain Planning applications, including Anaplan and Blue Yonder ESP (Enterprise Supply Planning) as well as reporting and analytics tools. This role will focus on validating planning processes, ensuring data accuracy, supporting integration testing, and assisting in production validation activities. The QA Engineer will work closely with developers, model builders, architects, and business users to ensure high-quality planning solutions across Demand, Supply, Inventory, and S&OP processes. The candidate must be willing to work on site 4 days a week in Hyderabad and support global planning operations aligned with US PST time zone. Key Responsibilities: Functional & System Testing * Write and Execute test cases for: * Demand Planning * Supply Planning * Inventory Planning * S&OP processes * Reporting and Analytics * End to End business process flow, including MDM and PLM applications to support S&OP, P2P (Procure to Pay) and O2I (Order to Invoice) cycles. * Perform System Integration Testing (SIT), Regression Testing, and support User Acceptance Testing (UAT). * Validate planning calculations, business rules, and data flows within: * Anaplan models * Blue Yonder ESP * Support validation of solver outputs in BY ESP including pegging results, constraints, and inventory balances. * Document test cases, test results and report defects using standard tracking tools (e.g., Jira, Azure DevOps). Data Validation & Reconciliation * Perform data validation between planning systems and upstream/downstream systems. * Validate: * Demand feeds * BOMs * Master data * Supply signals * Execute SQL queries and basic data comparisons to ensure data accuracy. * Support root cause analysis of data discrepancies and planning errors. * Assist in validation of role-based access and user security configurations. Integration & Interface Testing * Support testing of integrations between: * Anaplan and upstream/downstream systems * BY ESP and upstream/downstream systems * Data platforms * Validate API-based integrations and scheduled data loads. * Perform reconciliation of inbound and outbound data files. Production Validation & Release Support * Perform smoke testing and post-deployment validation. * Support production validation during planning cycles (forecast runs, month-end, S&OP cycles). * Assist in verifying bug fixes and configuration changes before production release. * Support documentation of test cases, release notes, and test evidence for audit compliance. Collaboration & Continuous Improvement * Work closely with: * Anaplan Model Builders * BY ESP Developers * Data Engineering teams * Business Planning users * Participate in Agile ceremonies and sprint reviews. * Contribute to improving QA processes, templates, and test coverage. * Maintain structured documentation of test cases and results. ## Qualifications Qualifications: * Education: Bachelor’s degree in supply chain, Engineering, Computer Science, Business, or related field. * Experience : 2-3 years of experience in QA testing, preferably in enterprise applications or supply chain systems. * Technical Skills: * Basic understanding of supply chain planning concepts: * Forecasting * Supply Planning * Inventory Management * S&OP * Experience executing functional and regression test cases. * Basic knowledge of SQL for data validation. * Familiarity with defect tracking tools (e.g., Jira, Azure DevOps). * Understanding of integration testing and data reconciliation. * Strong attention to detail and analytical skills. * Ability to document test cases and results clearly. * Leadership Skills: Excellent communication and problem-solving skills. * Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to addressing challenges. * Cultural Awareness: Ability to work effectively in a multicultural and highly dynamic environment and manage teams across different time zones. Must be multi-tasker and able to prioritize and deliver assignments with the highest quality under pressure with short deadline. Preferred Qualifications: * Exposure to Anaplan or Blue Yonder (JDA) planning applications. * Understanding of solver-based planning concepts. * Experience testing ERP-integrated systems (SAP, Oracle). * Familiarity with APIs and file-based integrations. * Exposure to Agile methodologies. About Us: We are a leading organization committed to leveraging technology to drive business success. Our team is dedicated to innovation, collaboration, and delivering exceptional results. Join us and be a part of a dynamic and forward-thinking company. How to Apply: Interested candidates are invited to submit their resume and cover letter detailing their relevant experience and qualifications.", "summaryDescription" : "QA Testing Engineer – Planning Applications at Mattel. Skills: QA Testing, Supply Chain Planning, Anaplan, Blue Yonder ESP. Write test cases. Execute test cases", "postedDate" : "2026-06-13T13:11:58.000", "createdAt" : "2026-06-15T21:49:50.833", "lastUpdated" : "2026-06-16T06:11:15.581", "ingestTimestamp" : "2026-06-15T21:49:50.833", "mongoId" : "6a30531ff292fd229cf112e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Test case execution", "Defect tracking", "Data validation", "Data reconciliation", "SQL queries", "Problem-solving", "QA Testing", "Supply Chain Planning", "Anaplan", "Blue Yonder ESP", "Root cause analysis", "Integration testing", "Regression Testing", "User Acceptance Testing", "System Integration Testing", "Agile", "Demand Planning", "Supply Planning", "Inventory Management", "S&OP", "MDM", "PLM", "P2P cycles", "O2I cycles", "Solver-based planning", "Jira", "Azure DevOps" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f40f292fd229cee658e", "title" : "QA Testing Engineer – Planning Applications", "company" : "Mattel", "industry" : "Retail", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior QA Testing Engineer in Hyderabad, India, adjusted for the manufacturing industry and company size." }, "location" : "Hyderabad, IN", "locations" : [ "Hyderabad", "IN" ], "timestamp" : "2026-06-16T08:15:10.972", "fingerprint" : "9f0131afa1a12eddedeb3dac210901d50de0036e8286c1c98a70d104ed744f00", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MattelInc/744000132035219-analyst-quality", "externalId" : "744000132035219", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SQL, APIs", "professionalSkills" : [ "Data validation", "Data reconciliation", "Root cause analysis", "Integration testing", "Regression testing", "System integration testing", "User acceptance testing", "Production validation" ], "hardSkillsList" : [ "Functional testing", "System testing", "Test case execution", "Defect tracking", "Data validation", "Data reconciliation", "SQL queries", "API testing", "Smoke testing", "Post-deployment validation" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Functional testing", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Test case execution", "level" : "intermediate" }, { "name" : "Defect tracking", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "SQL queries", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" }, { "name" : "Smoke testing", "level" : "intermediate" }, { "name" : "Post-deployment validation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "QA Testing, Supply Chain Planning, Anaplan, Blue Yonder ESP", "majorSkillsList" : [ "QA Testing", "Supply Chain Planning", "Anaplan", "Blue Yonder ESP" ], "coreResponsibilities" : "Write test cases for Demand Planning, Write test cases for Supply Planning, Write test cases for Inventory Planning, Write test cases for S&OP processes, Write test cases for Reporting and Analytics, Execute test cases for End to End business, Support S&OP, P2P and O2I cycles, Perform System Integration Testing, Perform Regression Testing, Support User Acceptance Testing, Validate planning calculations, Validate business rules, Validate data flows within Anaplan models, Validate data flows within Blue Yonder ESP, Support validation of solver outputs in BY ESP, Document test cases, Document test results, Report defects, Perform data validation between planning systems, Validate Demand feeds, Validate BOMs, Validate Master data, Validate Supply signals, Execute SQL queries, Perform basic data comparisons, Support root cause analysis of data discrepancies, Support root cause analysis of planning errors, Assist in validation of role-based access, Assist in validation of user security configurations, Support testing of integrations between Anaplan, Support testing of integrations between BY ESP, Support testing of integrations between Data platforms, Validate API-based integrations, Validate scheduled data loads, Perform reconciliation of inbound data files, Perform reconciliation of outbound data files, Perform smoke testing, Perform post-deployment validation, Support production validation during planning cycles, Assist in verifying bug fixes, Assist in verifying configuration changes, Support documentation of test cases for audit compliance, Support documentation of release notes for audit compliance, Support documentation of test evidence for audit compliance, Work closely with Anaplan Model Builders, Work closely with BY ESP Developers, Work closely with Data Engineering teams, Work closely with Business Planning users, Participate in Agile ceremonies, Participate in sprint reviews, Contribute to improving QA processes, Contribute to improving QA templates, Contribute to improving test coverage, Maintain structured documentation of test cases, Maintain structured documentation of results", "teamCollaboration" : "Agile ceremonies; Sprint reviews; Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Supply chain planning; Demand Planning; Supply Planning; Inventory Management; S&OP; MDM; PLM; P2P cycles; O2I cycles; Solver-based planning", "domainList" : [ "supply-chain-planning", "demand-planning", "supply-planning", "inventory-management", "s-op", "mdm", "plm", "p2p-cycles", "o2i-cycles", "solver-based-planning" ], "domainSpecificKnowledge" : [ "Supply chain planning", "Demand Planning", "Supply Planning", "Inventory Management", "S&OP", "MDM", "PLM", "P2P cycles", "O2I cycles", "Solver-based planning" ], "toolProficiency" : [ "Jira", "Azure DevOps" ], "documentationSkills" : "Document test cases; Document test results; Document release notes; Document test evidence", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "specialRequirements" : "Work on site 4 days a week, Support global planning operations aligned with US PST time zone", "qualificationsBasic" : "Bachelor's degree in supply chain, Engineering, Computer Science, Business, or related field, 2-3 years of experience in QA testing, Basic understanding of supply chain planning concepts, Experience executing functional and regression test cases, Basic knowledge of SQL for data validation, Familiarity with defect tracking tools, Understanding of integration testing and data reconciliation, Ability to document test cases and results clearly", "qualificationsPreferred" : "Exposure to Anaplan or Blue Yonder (JDA) planning applications, Understanding of solver-based planning concepts, Experience testing ERP-integrated systems, Familiarity with APIs and file-based integrations, Exposure to Agile methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Title: QA Testing Engineer – Planning Applications Location: Hyderabad, India Reports To: Planning Delivery Lead Job Summary: We are seeking a motivated and detail-oriented QA Testing Engineer to support end-to-end testing of enterprise Supply Chain Planning applications, including Anaplan and Blue Yonder ESP (Enterprise Supply Planning) as well as reporting and analytics tools. This role will focus on validating planning processes, ensuring data accuracy, supporting integration testing, and assisting in production validation activities. The QA Engineer will work closely with developers, model builders, architects, and business users to ensure high-quality planning solutions across Demand, Supply, Inventory, and S&OP processes. The candidate must be willing to work on site 4 days a week in Hyderabad and support global planning operations aligned with US PST time zone. Key Responsibilities: Functional & System Testing * Write and Execute test cases for: * Demand Planning * Supply Planning * Inventory Planning * S&OP processes * Reporting and Analytics * End to End business process flow, including MDM and PLM applications to support S&OP, P2P (Procure to Pay) and O2I (Order to Invoice) cycles. * Perform System Integration Testing (SIT), Regression Testing, and support User Acceptance Testing (UAT). * Validate planning calculations, business rules, and data flows within: * Anaplan models * Blue Yonder ESP * Support validation of solver outputs in BY ESP including pegging results, constraints, and inventory balances. * Document test cases, test results and report defects using standard tracking tools (e.g., Jira, Azure DevOps). Data Validation & Reconciliation * Perform data validation between planning systems and upstream/downstream systems. * Validate: * Demand feeds * BOMs * Master data * Supply signals * Execute SQL queries and basic data comparisons to ensure data accuracy. * Support root cause analysis of data discrepancies and planning errors. * Assist in validation of role-based access and user security configurations. Integration & Interface Testing * Support testing of integrations between: * Anaplan and upstream/downstream systems * BY ESP and upstream/downstream systems * Data platforms * Validate API-based integrations and scheduled data loads. * Perform reconciliation of inbound and outbound data files. Production Validation & Release Support * Perform smoke testing and post-deployment validation. * Support production validation during planning cycles (forecast runs, month-end, S&OP cycles). * Assist in verifying bug fixes and configuration changes before production release. * Support documentation of test cases, release notes, and test evidence for audit compliance. Collaboration & Continuous Improvement * Work closely with: * Anaplan Model Builders * BY ESP Developers * Data Engineering teams * Business Planning users * Participate in Agile ceremonies and sprint reviews. * Contribute to improving QA processes, templates, and test coverage. * Maintain structured documentation of test cases and results. ## Qualifications Qualifications: * Education: Bachelor’s degree in supply chain, Engineering, Computer Science, Business, or related field. * Experience : 2-3 years of experience in QA testing, preferably in enterprise applications or supply chain systems. * Technical Skills: * Basic understanding of supply chain planning concepts: * Forecasting * Supply Planning * Inventory Management * S&OP * Experience executing functional and regression test cases. * Basic knowledge of SQL for data validation. * Familiarity with defect tracking tools (e.g., Jira, Azure DevOps). * Understanding of integration testing and data reconciliation. * Strong attention to detail and analytical skills. * Ability to document test cases and results clearly. * Leadership Skills: Excellent communication and problem-solving skills. * Problem-Solving: Strong analytical and problem-solving abilities, with a proactive approach to addressing challenges. * Cultural Awareness: Ability to work effectively in a multicultural and highly dynamic environment and manage teams across different time zones. Must be multi-tasker and able to prioritize and deliver assignments with the highest quality under pressure with short deadline. Preferred Qualifications: * Exposure to Anaplan or Blue Yonder (JDA) planning applications. * Understanding of solver-based planning concepts. * Experience testing ERP-integrated systems (SAP, Oracle). * Familiarity with APIs and file-based integrations. * Exposure to Agile methodologies. About Us: We are a leading organization committed to leveraging technology to drive business success. Our team is dedicated to innovation, collaboration, and delivering exceptional results. Join us and be a part of a dynamic and forward-thinking company. How to Apply: Interested candidates are invited to submit their resume and cover letter detailing their relevant experience and qualifications.", "summaryDescription" : "QA Testing Engineer – Planning Applications at Mattel. Skills: QA Testing, Supply Chain Planning, Anaplan, Blue Yonder ESP. Write test cases for Demand Planning. Write test cases for Supply Planning", "postedDate" : "2026-06-13T13:11:58.000", "createdAt" : "2026-06-15T21:32:36.865", "lastUpdated" : "2026-06-16T08:15:10.972", "ingestTimestamp" : "2026-06-15T21:32:36.865", "mongoId" : "6a304f40f292fd229cee658e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Functional testing", "System testing", "Test case execution", "Defect tracking", "Data validation", "Data reconciliation", "SQL queries", "API testing", "Smoke testing", "Post-deployment validation", "Problem-solving", "QA Testing", "Supply Chain Planning", "Anaplan", "Blue Yonder ESP", "Root cause analysis", "Integration testing", "Regression testing", "System integration testing", "User acceptance testing", "Production validation", "Agile methodologies", "Supply chain planning", "Demand Planning", "Supply Planning", "Inventory Management", "S&OP", "MDM", "PLM", "P2P cycles", "O2I cycles", "Solver-based planning", "Jira", "Azure DevOps" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f750", "title" : "Network Planning", "company" : "Beijing Mercedes-Benz Sales Service Co., Ltd.", "industry" : "Retail", "salary" : { "min" : 285000.0, "max" : 475000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Network Planning roles in Beijing, China, adjusted for mid-seniority and the automotive industry." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower, 8 Wangjing Street, , Beijing" ], "timestamp" : "2026-06-16T04:50:24.453", "fingerprint" : "8f54fedbec36e4bc0f1a28ec67599546c235d3a93de7536d97d7e7b5a60e687c", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=893893", "externalId" : "893893", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "employmentType" : "FULL_TIME", "minimumEducation" : "Degree or Diploma", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Power BI, Excel, ArcGis", "professionalSkills" : [ "Data processing", "Data analysis", "Reporting", "Network strategy", "Dealer network analysis", "Market analysis", "Competitor analysis", "Sales channel development" ], "hardSkillsList" : [ "Data integrity", "Performance reporting", "Ad-hoc analysis" ], "hardSkills" : [ { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" }, { "name" : "Ad-hoc analysis", "level" : "intermediate" } ], "majorSkills" : "Network strategy, Dealer network analysis, Power BI dashboards", "majorSkillsList" : [ "Network strategy", "Dealer network analysis", "Power BI dashboards" ], "coreResponsibilities" : "Develop & update network strategy, Analyze dealer network, Prepare top management presentations, Analyze market and city, Update competitor network footprint, Act as key account for region, Monitor dealer network performance, Monitor outlet status, Monitor operational KPIs, Design Power BI dashboards, Build Power BI dashboards, Maintain Power BI dashboards, Integrate data into Power BI, Prepare performance reports, Prepare ad-hoc analysis, Support dealer network strategy, Follow up on data analysis, Follow up on investor analysis, Provide overview of strategy progress, Discuss individual cases, Work on Sales related network tasks, Work on Aftersales related network tasks, Analyze dealer network for region, Update competitor network development footprint, Act as major contact for suppliers, Act as major contact for IT, Use Visualization tool for network plan, Use Visualization tool for decision making, Assist Senior Manager on network updates, Assist Department manager on network updates, Co-create network analysis methodology, Co-create network analysis framework, Support team lead on tasks, Prepare business travel deck", "teamCollaboration" : "Work with diverse BUs; Work with Regions; Work with HQ Germany", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Sales channel development; Aftersales; Sales; Network planning; Geo-related software", "domainList" : [ "sales-channel-development", "aftersales", "sales", "network-planning", "geo-related-software" ], "domainSpecificKnowledge" : [ "Sales channel development", "Aftersales", "Sales", "Network planning", "Geo-related software" ], "toolProficiency" : [ "Power BI", "Excel", "ArcGis" ], "communicationSkills" : "Top management presentations; Business travel deck", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Readiness for travel", "qualificationsBasic" : "5 years relevant working experience in aftersales/sales&marketing/sales channel development area", "qualificationsPreferred" : "Previous experience in retail industry or research industry would be an advantage, IT background, especially for handling geo-related software, such as ArcGis is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective of job - Develop & update the network strategy with a focus on main brand Mercedes-Benz - Independently analyze the dealer network for an assigned region - Prepare top management presentations to provide and prepare decision making - Market and city Analysis incl. update of competitor network development footprint - Key account for an assigned region as well as assigned Dealer Groups - Utilize Power BI as a core analytics tool to monitor dealer network performance, outlet status, and operational KPIs. - Design, build, and maintain Power BI dashboards and reports to support management reviews and operational decision-making. - Integrate data from multiple sources (e.g. internal systems, Excel files, operational databases) into Power BI models with clear logic and data integrity - Prepare regular performance reports and ad-hoc analysis for internal stakeholders, leveraging Power BI for automation and standardization. Main tasks 1. Dealer network strategy - Support the dealer network strategy by following up all relevant tasks such as data and investor analysis - Prepare top management presentations to provide an overview about the progress of the network strategy as well as individual case discussions - Key account for an assigned region to work closely on all Sales and Aftersales related network tasks 2. Network Strategy & Network Plan with special focus on an assigned region - Develop & update the network strategy with a focus on MB - Independently analyze the dealer network for an assigned region - Market and city Analysis incl. update of competitor network development footprint - Key account for an assigned region as well as assigned Dealer Groups 3. Guarantee smooth running of all systems, data & tools used for network planning - Act as major contact for external suppliers and MB internal IT department with regards to systems, tool & database used for BMBS network planning (e.g. ArcGis software) - Use Visualization tool to support network plan and decision making process - Assist Senior Manager and Department manager on diverse network updates - Co-create the network analysis methodology and framework in cooperation with the other team members - Support the team and department lead in various tasks such as preparing the business travel deck etc. Becoming part of Mercedes-Benz means finding your individual role and workspace to unleash your talents to the fullest. It means becoming your best self in a global automotive company that has the goal to build the most desirable cars in the world. Empowered by visionary colleagues who share the same pioneering spirit. Together for excellence. Education - Degree or Diploma in Business, Finance or related Discipline - 5 years relevant working experience in aftersales/sales&marketing/sales channel development area - Previous experience in retail industry or research industry would be an advantage Skills and Knowledge - Very good analytical skills - Very good working with numbers - Strong sense of responsibility and reliability - Problem solving and strategic skills - Strong project management skills. - Strong interpersonal skills, ability to work independently and as a team player. - Readiness for travel sometimes. - Very self-reliant working style and self disciplined. - Flexibility, integrity and endurance. - Knowledge of Corporate Strategy Functionality Skills - Capable in data processing, analysis and reporting (especially Power BI) - High degree of Excel skills; capable of quickly learning new tools e.g. specific network planning tools - Computer literate, fluent in English and Chinese, both written and oral essential - IT background, especially for handling geo-related software, such as ArcGis is a plus - Project Management and excellent communication skills to successfully steer the projects and work together with diverse BUs, Regions and HQ in Germany Beijing Mercedes-Benz Sales Service Co., Ltd.", "summaryDescription" : "Network Planning at Beijing Mercedes-Benz Sales Service Co., Ltd.. Skills: Network strategy, Dealer network analysis, Power BI dashboards. Develop & update network strategy. Analyze dealer network", "createdAt" : "2026-06-14T19:58:20.426", "lastUpdated" : "2026-06-16T04:50:24.453", "ingestTimestamp" : "2026-06-14T19:58:20.426", "mongoId" : "6a191e7758b93c861e39f750", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data integrity", "Performance reporting", "Ad-hoc analysis", "Network strategy", "Dealer network analysis", "Power BI dashboards", "Data processing", "Data analysis", "Reporting", "Market analysis", "Competitor analysis", "Sales channel development", "Project management", "Aftersales", "Sales", "Network planning", "Geo-related software", "Power BI", "Excel", "ArcGis" ], "skillCount" : 20, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "design development of finance business planning forecasting and consolidation applications in sap analytics cloud planning and datasphere jobs", "metadata" : { "title" : "design development of finance business planning forecasting and consolidation applications in sap analytics cloud planning and datasphere" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 90888, "totalPages" : 1818, "hasNext" : true, "hasPrevious" : false } }

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