Manager, Data Engineering

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The Manager, Data Engineering role is accountable for the operational excellence, stability, and evolution of the enterprise data platform supporting Center Well Pharmacy (CWP) and Pharmacy Benefits Management (PBM). This role partners closely with engineering leads and cross‑functional stakeholders to prioritize work, ensure platform reliability, and drive continuous improvement of data platform capabilities. Unlike traditional management roles, this position is a hands‑on operational leader responsible for executing critical platform accountabilities while also leading and developing a high‑performing team.

This role focuses on enabling engineering teams to concentrate on software development and innovation by owning operational governance, platform health, financials, and delivery oversight.

The Manager, Data Engineering works within defined enterprise guidelines and processes, applying advanced technical and operational knowledge to solve moderately complex problems. The role receives objectives and determines appropriate approaches, resources, priorities, and execution plans while ensuring alignment with enterprise strategy.

The role leads a blended team consisting of approximately 25 to 40 contractors and 3 to 6 associates, with team size fluctuating based on business demand and project needs.

• SDLC adherence
• Change management
• Financial governance
• Vendor coordination
• Cloud cost optimization
• Technology lifecycle activities

• Engineering
• Product
• Security
• Compliance
• Business teams

• Technical depth
• Operational rigor
• Financial ownership
• People leadership, along with the ability to operate effectively in a fast‑paced, highly regulated healthcare environment

• Bachelor’s degree in computer science, Information Technology, Engineering, or related field; or equivalent experience
• 8+ years of experience in data engineering, software engineering, or enterprise data platform environments
• 2+ years of experience leading or managing technical teams, including direct or matrixed reports
• Hands‑on experience operating and supporting cloud‑based data platforms (e.g., Snowflake, Databricks, Azure, or similar technologies)
• Strong knowledge of Software Development Life Cycle (SDLC), Dev Ops practices, and operational readiness disciplines
• Experience managing application lifecycle activities, including deployments, documentation, technical debt, and production support
• Demonstrated experience managing change control processes using enterprise tools (e.g., Service Now or similar systems)
• Experience with financial accountability, including budgeting, forecasting, and cloud cost management
• Proven ability to manage multiple priorities, projects, and operational demands in a fast‑paced environment
• Experience working in cross‑functional environments, partnering with business and technology stakeholders to align priorities and delivery
• Strong communication, leadership, and stakeholder management skills with ability to influence across organizational levels
• Demonstrated ability to drive operational excellence, improve system stability, and implement quality improvement practices (e.g., shift‑left defect identification)
• Experience supporting compliance, security, and risk management practices (e.g., vulnerability management, cyber hygiene, or similar disciplines)

• Experience supporting healthcare, pharmacy, or Pharmacy Benefits Management (PBM) domains
• Experience operating enterprise data platforms supporting high‑volume, near real‑time ingestion and analytics workloads
• Familiarity with tools and processes such as Service Now (SNOW), EAPM, and Technology Lifecycle Management (TLM)
• Experience managing vendor relationships, contracting processes, and Statements of Work (SOWs)
• Exposure to data governance, data quality, and regulatory requirements (e.g., HIPAA, PCI, or DSCSA)
• Experience with cloud cost optimization strategies and Fin Ops practices
• Experience leading or supporting large‑scale platform modernization or transformation initiatives
• Strong understanding of data engineering frameworks, including ETL/ELT pipelines, data…