Data Product Manager [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Product Manager in the United States.

This role sits at the core of transforming enterprise data into high-value, scalable products that power decision-making across financial technology ecosystems. You will be responsible for defining the vision, strategy, and lifecycle of data products that support analytics, reporting, and advanced data-driven capabilities. Acting as the bridge between business stakeholders, data engineering, and analytics teams, you will translate complex business needs into structured, actionable data requirements. The position plays a critical role in shaping data architecture, governance, and product usability, ensuring that datasets are reliable, discoverable, and aligned with business goals. You will also help drive adoption of data products by enabling users, improving data literacy, and supporting commercialization efforts. This is a highly cross-functional role that combines product thinking, technical depth, and strategic influence in a fast-evolving data environment.

Accountabilities:

• Define and drive the vision, strategy, and roadmap for data products across assigned domains, ensuring alignment with business objectives and user needs.
• Translate complex business requirements into structured data product specifications, including data definitions, quality rules, and functional requirements.
• Collaborate with data engineering and data science teams to design, build, and enhance scalable data products and analytics solutions.
• Establish and maintain data governance, metadata management, and quality standards to ensure accuracy, consistency, and compliance.
• Develop and manage product artifacts such as epics, user stories, data flow diagrams, and entity-relationship models.
• Analyze large datasets using SQL and other tools to generate insights and support strategic decision-making.
• Define and track KPIs such as data quality metrics, usage, adoption, and product performance.
• Drive adoption and value realization of data products through training, enablement, and stakeholder engagement.
• Partner cross-functionally to identify opportunities for new data products and continuous improvement of existing assets.
• Support testing, validation, and lifecycle management of data products from development through production.

Requirements:

• 7+ years of experience in data product management, analytics, product management, or data-driven solution delivery.
• Bachelor’s degree in a quantitative or technical field (engineering, computer science, mathematics, economics, or equivalent experience).
• Strong proficiency in SQL and experience working with large, complex datasets.
• Hands-on experience with modern data platforms such as Snowflake, Databricks, AWS, or Azure.
• Strong understanding of data governance, metadata management, and data lifecycle principles.
• Proven ability to translate data into actionable insights and influence strategic business decisions.
• Experience working with BI tools, data pipelines, and data visualization platforms.
• Strong communication and storytelling skills, with the ability to simplify complex data concepts for diverse audiences.
• Ability to manage ambiguity, prioritize effectively, and deliver in fast-paced environments.
• Experience collaborating across engineering, analytics, product, and business teams.
• Experience in organizational change management and driving adoption of data products is highly valued.

Benefits:

• Competitive salary range from $95,800 to $124,500 USD annually.
• Comprehensive benefits including medical, dental, and vision coverage with telemedicine access.
• 401(k) retirement plan with employer match and HSA contributions.
• Paid time off, paid holidays, and flexible family and parental leave policies.
• Mental health and wellness support, including employee assistance programs.
• Tuition reimbursement and professional development opportunities.
• Remote-first work environment with strong flexibility and work-life balance.
• Additional financial and insurance benefits including life, disability, and supplemental coverage options.
• Inclusive, values-driven culture focused on collaboration, diversity, and continuous improvement.

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!

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.