Data Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the roadmap, priorities, delivery, and ongoing management of designated enterprise data products or components within a data domain.

• Comprehend how data products are sourced, transformed, governed, and utilized, while identifying opportunities to enhance reliability, usability, quality, and business value.

• Utilize SQL to explore data inquiries, validate business logic, analyze multiple tables, trace discrepancies, and evaluate expected outcomes.

• Address data quality challenges, assess downstream impacts, and collaborate with technical and business teams for resolution.

• Convert business, analytical, operational, and regulatory requirements into product specifications.

• Define and uphold product specifications, epics, user stories, and documentation related to datasets, metrics, APIs, dashboards, and associated data capabilities.

• Collaborate with data engineering and architecture teams on data models, pipelines, interfaces, dependencies, and architectural decisions.

• Navigate conflicts between business definitions, source data, technical constraints, and governance requirements.

• Integrate data quality, metadata, lineage, master data management, access, privacy, and retention considerations into product decisions.

• Ensure data products fulfill expectations for quality, performance, availability, scalability, security, and usability.

• Assist in regulatory, risk, and audit evaluations.

• Monitor and report on data product usage, quality, delivery performance, and overall product health.

• Encourage adoption through comprehensive documentation, stakeholder communication, and enablement.

• Operate within Agile delivery methodologies while balancing roadmap priorities, data challenges, regulatory obligations, and evolving business needs.

• Establish priorities, understand data flows and dependencies, identify quality or usability gaps, and enhance delivery, governance, measurement, and usage within the first 6 to 12 months.

⛳️ Requirements

• Bachelor’s degree in computer science, engineering, business, or a related discipline.

• 5 to 7+ years of experience in product management, encompassing data, analytics, or platform products.

• Proficient in SQL and data analysis with complex datasets.

• Capable of writing and interpreting complex joins across multiple tables, tracing transformations, validating business logic, reconciling conflicting results, and independently investigating data quality issues.

• Proven experience using SQL to address significant business or product challenges.

• Competent in employing SQL and data analysis for product decision-making, requirements validation, defect investigation, and outcome assessment.

• Demonstrated ownership of a data product, data capability, or a significant element of a data domain from business need through to delivery and ongoing utilization.

• Experience collaborating with data engineers and architects on data models, pipelines, or architectural decisions.

• Skilled in translating ambiguous business needs into actionable requirements that result in a delivered dataset, metric, API, dashboard, or other data capability.

• Experience in identifying or resolving data quality, governance, or control issues.

• Familiarity with data modeling and data architecture.

• Understanding of data pipelines, data movement, and transformation.

• Knowledge of data warehouses and data lakes.

• Comprehension of data governance, data quality, metadata management, data lineage, and master data management.

• Awareness of Agile and Scrum delivery methodologies.

• Understanding of financial services controls.

• Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship, including CPT/OPT, is not available.

• Preferred: experience in delivering data products within financial services, fintech, or another regulated sector.

• Preferred: experience with APIs in data products.

• Preferred: familiarity with AWS, Azure, or GCP.

• Preferred: experience with BI, analytics tools, or metrics layers.

• Preferred: background in analytics, data engineering, or a quantitative role.

🏝️ Benefits

• Medical, dental, vision, and life insurance.

• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contributions, and a broad investment lineup.

• Tuition reimbursement up to $5,250 per year.

• Business-casual environment that allows for wearing jeans.

• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year.

• Paid volunteer time – 16 hours per calendar year.

• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA).

• Business Resource Groups (BRGs) – BRGs foster inclusion and collaboration within our business and the communities where we live, work, and play. BRGs are open to everyone.

• Opportunity for a bonus program for non-sales positions.

• Reliable high-speed internet with a wired connection and a home workspace; necessary computer equipment will be provided.