Technical Product Manager - Data

About the role

Early Warning powers and protects the U.S. financial system with cutting-edge solutions like Zelle® and Paze℠. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses. This role is a key position on our Data & AI team, charged with defining and delivering the next generation of enterprise data platform capabilities.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment. This position is ineligible for employment Visa sponsorship.

Responsibilities

• Execute the product roadmap for enterprise data platform capabilities, including data ingestion, data curation, governance, metadata management, data quality, observability, and self-service data workflows.
• Partner with Data Engineering, Platform Engineering, Analytics, Architecture, Security, and Governance teams to deliver scalable platform capabilities that support enterprise data needs.
• Develop a deep understanding of internal platform users—including data engineers, analytics engineers, software engineers, analysts, and data scientists—and translate user needs into platform requirements and product enhancements.
• Drive the design and adoption of self-service experiences that enable users to onboard data, discover trusted datasets, manage data access, deploy and monitor pipelines, and troubleshoot issues with minimal operational support.
• Define and prioritize product requirements, user stories, and technical capabilities that improve platform usability, reliability, scalability, and operational efficiency.
• Establish success metrics and measure platform performance through adoption, user satisfaction, operational efficiency, platform reliability, and business impact outcomes.
• Partner with engineering teams to define standards, reusable frameworks, and platform patterns that accelerate delivery and promote consistency across data products and pipelines.
• Ensure data governance, lineage, metadata management, access controls, auditability, and data quality requirements are embedded into platform capabilities and workflows.
• Collaborate with business and technical stakeholders to identify opportunities for automation, standardization, and process improvements across the data lifecycle.
• Support the implementation and operationalization of enterprise data capabilities that enable analytics, reporting, operational processes, and data-driven decision making.
• Balance short-term business priorities with long-term platform investments, technical sustainability, and architectural best practices.
• Support the company's commitment to risk management by ensuring platform capabilities align with security, compliance, privacy, and enterprise governance requirements while protecting the integrity and confidentiality of systems and data.

Requirements

• Bachelor’s degree in STEM, Computer Science, Information Systems, Engineering, or related field.
• 5+ years of experience in Product Management, Data Product Management, Platform Product Management, Data Engineering, Analytics Engineering, or related disciplines.
• 3+ years of experience working directly with technical teams such as Data Engineering, Platform Engineering, Software Engineering, Analytics Engineering, or Data Architecture.
• Experience delivering internal platforms, developer tools, data products, or enterprise technology capabilities.
• Strong understanding of modern data platform concepts including data pipelines, data lakes/warehouses, orchestration, metadata, governance, observability, data quality, code management, and application deployment.
• Demonstrated ability to translate complex technical concepts into clear product requirements and business outcomes.
• Experience with Agile development methodologies and tools such as Jira.
• Strong stakeholder management skills with the ability to influence cross-functional teams and drive alignment across technical and business audiences.
• Excellent written and verbal communication skills.
• Working knowledge of SQL and modern data engineering concepts and workflows.

Preferred Qualifications

• Master’s degree in STEM or related field.
• Experience building or managing enterprise data platforms, platform products, developer platforms, or internal tooling.
• Prior hands-on experience in Data Engineering, Analytics Engineering, Software Engineering, Data Architecture, or a related technical discipline.
• Experience designing developer or data platform experiences for technical users.
• Strong understanding of data governance, metadata management, data quality, lineage, observability, and access management practices.
• Experience operating in highly regulated industries such as financial services, payments, healthcare, or insurance.
• Experience supporting cloud modernization and migration initiatives.
• Experience with modern cloud data platform architectures and technologies, including platforms such as Snowflake, Databricks, or equivalent data lakehouse, data warehouse, and data engineering ecosystems.
• Experience working with large-scale distributed data environments.
• Proven track record of launching and scaling platform capabilities that improve developer productivity and platform adoption.

Physical Requirements

Work is primarily sedentary and requires extensive use of a computer, involving sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or a negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment, including personal computers. Requires the ability to communicate with internal and/or external customers.

Pay

The base pay scale for this position is:

• Phoenix, AZ: $106,000 - $142,000 USD per year
• San Francisco, CA: $128,000 - $170,000 USD per year

Additionally, candidates are eligible for a discretionary incentive plan and benefits. Pay is subject to change and depends on factors such as job scope, market rates, geographic location, candidate’s education, experience, training, and specialized skills or certification(s).

Benefits

• Competitive medical (PPO/HDHP), dental, and vision plans with company contributions to Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health, and dependent care expenses.
• 401(k) Retirement Plan with a 100% company safe harbor match on the first 6% deferral immediately upon eligibility.
• Flexible Time Off for exempt (salaried) employees and generous PTO for non-exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
• 12 weeks of Paid Parental Leave.
• Maven Family Planning support through parenting journeys, including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.