Technical Product Manager - Data

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more. 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. Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment. Candidates responding to this posting must independently possess the eligibility to work in the United States at the date of hire. This position is ineligible for employment Visa sponsorship. Overall Purpose The Technical Product Manager is a key role on our Data & AI team charged with defining and delivering the next generation of enterprise data platform capabilities at Early Warning Services. This role is responsible for driving the vision, roadmap, and execution of internal-facing platform products that enable teams across the organization to discover, access, govern, curate, process, deploy, and observe data applications at scale. The primary focus is creating self-service workflows and platform capabilities that improve developer productivity, accelerate delivery, strengthen governance, and enable trusted data consumption across analytics, engineering, product, and business teams. The Technical Product Manager collaborates closely with Data Engineering, Platform Engineering, Analytics, Architecture, Governance, Security, and business stakeholders to translate enterprise needs into scalable platform capabilities, ensuring the data platform is intuitive, reliable, secure, and aligned to business priorities. Essential Functions 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. Minimum Qualifications Education and/or experience typically obtained through completion of a 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 Early Warning works together in a highly collaborative office environment. Work is primarily sedentary and requires extensive use of a computer and involves 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 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. Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation. Base Pay Scale Phoenix, AZ: $106,000 - $142,000 per year. San Francisco, CA: $128,000 - $170,000 per year. Additionally, candidates are eligible for a discretionary incentive plan and benefits. This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes. Benefits Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre‑tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses. 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility. Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as 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 – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work. And so much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process! Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. EEO Statement Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. #J-18808-Ljbffr Early Warning