Data Product Manager

Velera

2d•$95,800 - $124,500•Remote

About The Position

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. 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.

Requirements

Bachelor’s Degree or combination of education and experience required, in a quantitative field (engineering, information systems, math, statistics, economics, business management or finance) preferred. Alternatively, a degree in Computer Science, IT, or equivalent experience (additional 4 years of relevant work experience in lieu of degree).
Combined 7+ years in card processing and payments, product management, agile project management, and technical product implementations focused on data-driven products or analytics solutions.
Strong understanding of data governance, compliance standards, and lifecycle management.
Proficiency in SQL and experience with large, complex datasets.
Hands-on experience with data warehouses (e.g., Snowflake, Databricks) and data pipelines.
Proven ability to translate data into business insights and influence strategic decisions.
Familiarity with metadata management and governance principles.
Demonstrated ability to navigate ambiguity and deliver results in evolving environments.
Experience with product budgeting and forecasting required.
Demonstrate behaviors based on Velera values: Excellence, Innovation, Leadership, Passion, Trust and Diversity, Equity, & Inclusion
Strong communication, project management, presentation and organizational skills.
Ability to work cross-functionally to motivate and influence stakeholders.
Demonstrated proficiency in SQL, cloud data platforms (Azure, AWS), BI tools, and data governance tools (e.g., Informatica).
Experience defining, launching, and scaling data products with measurable impact.
Ability to synthesize complex data into actionable insights and customer-facing products.
High attention to detail with a strategic mindset.
Proven data storytelling skills: synthesizes analysis into a clear ‘so what’, frames trade-offs, and recommends action using a structured storyline, using visuals and language that resonates with diverse audiences.
Demonstrated experience in Organizational Change Management (OCM), including developing and executing strategies to drive adoption, minimize resistance, and ensure successful implementation of new processes, technologies, or organizational initiatives
Ability to effectively facilitate workshops and focus groups to derive and document requirements.
Experience collaborating across engineering, data science, design, and go-to-market teams to deliver high quality solutions.

Responsibilities

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 including requirements for data quality and business definitions.
Identify critical business elements in close collaboration with business teams that translate into critical data elements for data products.
Maintain accurate metadata for new data sources to support discoverability and governance.
Transform datasets into actionable products that provide a single source of truth and enable data-driven decisions.
Collaborate with data science teams to enrich data products through advanced analytics.
Create detailed artifacts (epics, features, data flow diagrams, ER diagrams) outlining product functionality.
Establish quality and governance rules to ensure data integrity, consistency, accuracy, and compliance.
Define and track KPIs to measure product success (e.g., SLA compliance, error rates, user engagement).
Analyze and manipulate data using tools such as SQL, Excel, and visualization platforms.
Drive adoption and ROI through commercialization efforts, including training and educational resources.
Foster a culture of data literacy across the organization.
Participate in testing, validation, and version control for data products.
Perform other duties as assigned.