Manager of Information Management at Healthfirst, leading Agile delivery and data capabilities implementation. Ensuring quality and compliance of data solutions with strong stakeholder engagement.
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.
Requirements
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.
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.
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