Velera

Financial Services

DataProductManager

$96–125k Remote-USA FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Financial Services
Problems you'll solve

Data-driven decision making

Eligibility Requirements

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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