Velera
Financial Services
DataProductManager
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Product Manager at Velera. Skills: Data Product Management, Enterprise Data, AI Office. Guide development of data-centric products. Guide lifecycle of data-centric products”
What You'll Achieve.
Deliver value to users; Drive decision-making; Drive monetization; Produce high-quality data products; Produce high-performing data products; Measure product success; Drive adoption; Drive ROI; Ensure successful implementation
Industry & Context.
Data-driven decision making
Minimal travel required
What They're Looking For.
Must Have
Bachelor's Degree or combination of education and experience, 7+ years in card processing and payments, 7+ years in product management, 7+ years in agile project management, 7+ years in technical product implementations, understanding of data governance, understanding of compliance standards, understanding of lifecycle management, Proficiency in SQL, experience with large, complex datasets, Hands-on experience with data warehouses, Hands-on experience with data pipelines, Proven ability to translate data into business insights, Proven ability to influence strategic decisions, Demonstrated ability to navigate ambiguity, Demonstrated ability to deliver results, Experience with product budgeting, Experience with product forecasting, Demonstrated proficiency in SQL, Demonstrated proficiency in cloud data platforms, Demonstrated proficiency in BI tools, Demonstrated proficiency in data governance tools, Experience defining data products, Experience launching data products, Experience scaling data products, Ability to synthesize complex data, High attention to detail, strategic mindset, Demonstrated experience in Organizational Change Management, Ability to facilitate workshops, Ability to facilitate focus groups, Experience collaborating across engineering, Experience collaborating across data science, Experience collaborating across design, Experience collaborating across go-to-market teams
Nice to Have
quantitative field degree preferred, Computer Science degree preferred, IT degree preferred, equivalent experience preferred
What You'll Do.
Guide development of data-centric products
Guide lifecycle of data-centric products
Ensure data products align with business goals
Deliver value to users
Build on reliable infrastructure
Build on scalable infrastructure
Collaborate with data scientists
Collaborate with engineers
Collaborate with stakeholders
Translate complex data capabilities
Understand business needs for data use cases
Leverage available data assets
Create requirements for agile teams
Transform raw information into strategic assets
Establish data product operating model
Define vision for data products
Define strategy for data products
Implement product management processes
Produce roadmaps for data products
Support partner teams consuming data sources
Coordinate across cross-functional teams
Ensure data availability
Engage stakeholders to identify business challenges
Engage stakeholders to identify opportunities
Define vision for data domains
Define strategy for data domains
Implement product management processes for domains
Translate business needs into requirements
Create requirements for data quality
Create requirements for business definitions
Identify critical business elements
Translate business elements into data elements
Maintain accurate metadata for new data sources
Support discoverability
Transform datasets into actionable products
Provide single source of truth
Enable data-driven decisions
Collaborate with data science teams
Enrich data products through advanced analytics
Create detailed artifacts
Outline product functionality
Establish quality rules
Establish governance rules
Define KPIs to measure product success
Track KPIs to measure product success
Drive adoption through commercialization
Drive ROI through commercialization
Provide training resources
Provide educational resources
Foster data literacy across organization
Participate in testing for data products
Participate in validation for data products
Participate in version control for data products
Perform other duties as assigned
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile development teams; Data science teams; Business teams; Partner teams; Engineering teams; Design teams; Go-to-market teams
Communication Scope
Presentation skills; Data storytelling; Executive presentations
Process & Methodology
Agile project management, Agile development, Roadmap development, Product management processes
Full Job Description
# **Join the People Helping People** Velera is the nation’s premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose: We accelerate partners’ success through innovative financial technology solutions and inspired service. **The Opportunity** The **Data Product Manager (DPM)** is responsible for guiding the development and lifecycle of data-centric products within Velera’s Enterprise Data & AI Office. This role ensures data products align with business goals, delivers value to users, and are built on reliable, scalable infrastructure. The DPM collaborates with data scientists, engineers, and stakeholders to define requirements, prioritize features, and translate complex data capabilities into tangible business value. Key responsibilities include understanding business needs for data use cases, leveraging available data assets, and creating requirements for agile development teams. The DPM transforms raw information into strategic assets that drive decision-making and monetization. Additionally, the role establishes and executes the data product operating model, defines vision and strategy, implements product management processes, and produces roadmaps for high-quality, high-performing data products. The DPM also supports partner teams in consuming new data sources and coordinates across cross-functional teams to manage timelines and ensure data availability. **A Day in the Life** * Engage stakeholders to identify business challenges and opportunities where data can deliver value. * Define vision, strategy, and roadmaps for assigned data domains and products; implement product management processes. * Translate business needs into clear requirements for new or enhanced data products includ
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