Senior Manager - Application Development Engineerin
About The Position
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: We are seeking a highly experienced Senior Technical Manager to lead a strategic modernization effort within our Investment Management technology organization. This leader will be responsible for advancing a legacy on-premises SQL Server-based Investment Management Data Warehouse into a scalable, governed, cloud-native data and analytics platform on Google Cloud Platform, with BigQuery serving as a core enterprise data warehouse capability. This is a high-visibility leadership role at the intersection of cloud data engineering, analytics modernization, AI enablement, and business transformation. The Senior Technical Manager will drive execution of the migration strategy, modernize data pipelines and reporting capabilities, enable governed analytics through Looker, and support AI-powered data access and productivity solutions using Vertex AI.
Requirements
- 10+ years of experience in data engineering, analytics engineering, platform engineering, cloud data architecture, or related technology leadership roles.
- Strong hands-on or leadership experience with Google Cloud Platform, including BigQuery architecture, data modeling, performance tuning, cost optimization, and security.
- Proven experience leading large-scale data warehouse modernization or cloud migration programs, preferably from SQL Server, Oracle, or other on-premises enterprise data warehouse platforms.
- Strong understanding of modern data architecture patterns, including cloud data warehouses, data lakes, medallion architecture, dimensional modeling, semantic layers, ELT/ETL, metadata management, lineage, and data governance.
- Strong programming foundation in Python, including experience supporting data engineering, automation, analytics, APIs, or AI/ML workflows.
- Demonstrated experience managing technical teams, developing engineering talent, and leading delivery across complex, multi-stakeholder programs.
- Strong understanding of cloud security, access controls, data privacy, audit requirements, production support, and operational resilience.
- Excellent communication skills, including the ability to explain technical concepts to senior business stakeholders and translate business priorities into executable technology plans.
- Hands-on or leadership experience with Vertex AI, AI/ML platforms, intelligent agents, natural language data access, or AI-enabled analytics solutions.
Nice To Haves
- Experience in investment management, asset management, insurance, capital markets, financial services, or risk analytics environments.
- Prior experience modernizing investment data platforms, portfolio analytics systems, market data platforms, research data environments, or finance reporting ecosystems.
- Familiarity with ASP.NET or legacy web-based reporting applications, especially in the context of analytics modernization.
- Familiarity with Oracle SQR or similar legacy batch reporting and data processing technologies.
- Experience integrating third-party financial data providers such as Bloomberg, State Street, Moody’s, S&P, Fitch, or similar vendors.
- Experience building AI-powered data access patterns, including semantic layers, vector search, retrieval-augmented generation, governed natural language queries, and agent-based workflows.
- Experience with CI/CD, infrastructure as code, DevOps/DataOps practices, automated testing, data quality frameworks, and production observability.
- Experience operating in a regulated enterprise environment with formal architecture, security, privacy, and governance processes.
Responsibilities
- Lead a strategic modernization effort within the Investment Management technology organization.
- Advance a legacy on-premises SQL Server-based Investment Management Data Warehouse into a scalable, governed, cloud-native data and analytics platform on Google Cloud Platform, with BigQuery serving as a core enterprise data warehouse capability.
- Drive execution of the migration strategy.
- Modernize data pipelines and reporting capabilities.
- Enable governed analytics through Looker.
- Support AI-powered data access and productivity solutions using Vertex AI.
- Manage technical teams, develop engineering talent, and lead delivery across complex, multi-stakeholder programs.
- Ensure strong understanding of cloud security, access controls, data privacy, audit requirements, production support, and operational resilience.
- Communicate technical concepts to senior business stakeholders and translate business priorities into executable technology plans.
Benefits
- medical coverage
- dental coverage
- vision coverage
- paid time off
- retirement savings options
- wellness programs
- CVS Health bonus
- commission
- short-term incentive program
- equity award program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
