Mgr Data Engg.

The Claims Program - Data Manager / Product Owner is responsible for the delivery of Healthfirst’s data platforms and solutions by leading day-to-day execution for a defined set of data applications, products, pipelines, or platform capabilities. This role partners with product owners, architects, governance, and business stakeholders to translate requirements into high-quality, secure, and scalable data assets and solutions that enable analytics, regulatory reporting, and business operations.

This role leads Two Agile delivery teams (analysts, developers, testers, and/or scrum master support), ensuring reliable delivery, strong operational discipline, and continuous improvement across planning, build, testing, release, and production support.

Key Responsibilities

• Lead delivery execution for assigned data capabilities, ensuring alignment to priorities, timelines, and quality expectations set by product and platform leadership.
• Manage and mentor a multidisciplinary team (onshore/nearshore/offshore as applicable), fostering collaboration, accountability, and continuous improvement.
• Partner with IT, architecture, and governance to implement scalable, secure, and compliant data solutions leveraging AWS services (e.g., S3, Glue, Lambda, Redshift, Athena).
• Translate business requirements into actionable features and user stories; support backlog readiness through refinement, estimation, dependency tracking, and acceptance criteria.
• Support stakeholder communication by providing clear status, risks, tradeoffs, and delivery transparency; escalate issues and decisions when needed.
• Participate in incident triage and production support for assigned data assets, helping drive root cause analysis, corrective actions, and prevention measures.
• Promote modernization and standardization by adopting reusable patterns, metadata-driven approaches, and improved pipeline reliability (including transition away from legacy tools where applicable).
• Champion data quality practices (validation, monitoring, lineage awareness, and documentation) to support regulatory reporting and analytics confidence.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• 5+ years of experience in data engineering, systems analysis, BI/data platforms, or technical delivery roles supporting large-scale data environments.
• 2+ years of experience leading or coordinating Agile delivery (team lead, delivery lead, scrum/iteration leadership, or engineering management).
• Working knowledge of AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena) and modern ETL/ELT concepts.
• Working knowledge of Data/BI applications such as Alteryx, Tableau, and SQL tools.
• Strong SQL and data troubleshooting skills with the ability to validate logic, investigate defects, and support data integrity.
• Strong communication skills and ability to work across technical and business partners to clarify needs and deliver outcomes.

Preferred Qualifications

• Experience in healthcare insurance, provider, claims, or regulatory reporting data domains.
• Experience supporting cloud migration and data modernization initiatives (including decommissioning or reducing dependency on legacy ETL tools).
• Certifications such as CSM, PMP, or AWS (nice to have).

• Greater New York City Area (NY, NJ, CT residents): $134,600 - $194,480
• All Other Locations (within approved locations): $119,600 - $177,905

As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, licenses and certifications, and any other factors Healthfirst deems pertinent to the hiring decision.

In addition to your salary, Healthfirst offers employees a full range of benefits such as, medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions (all benefits are subject to eligibility requirements). Healthfirst believes in providing a competitive compensation and benefits package wherever its employees work and live.