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.
Req Qualifications:
- 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.
Preferred Qualifications:
- 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.
Education
Bachelor's degree required. Master's degree preferred
Pay Range
The typical pay range for this role is:
$106,605.00 - $260,590.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 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
- Experience leading large-scale data warehouse modernization or cloud migration programs
- 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 data engineering, automation, analytics, APIs, or AI/ML workflows
- 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 and ability to explain technical concepts to senior business stakeholders
- Hands-on or leadership experience with Vertex AI, AI/ML platforms, intelligent agents, natural language data access, or AI-enabled analytics solutions
- Bachelor's degree
- Master's degree
- Experience in investment management, asset management, insurance, capital markets, financial services, or risk analytics environments
- 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
- 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, or Fitch
- 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
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
