Job Description- The Senior Director, Data Analysis, Products, & Integration is responsible for translating business opportunities, customer needs, and operational challenges into reusable data products, integrated data solutions, and improved business processes.
- This role leads the functional execution of the data strategy, ensuring business context, process requirements, data semantics, and quality expectations are clearly understood before solutions are built. The Senior Director partners closely with business customers, Digital Product, Analytics, AI, Data Operations, and Technology teams to identify the right problems to solve, define the right data and process requirements, and enable measurable outcomes.
- This role is a critical counterpart to Data Engineering pillar of the DataOps team. The role provides hands-on leadership across business engagement, data analysis, product integration, solution validation, and business process automation so engineering investments result in reusable data products and workflows that are useful, adopted, and scalable.
Key ResponsibilitiesBusiness Engagement & Functional Leadership- Serve as the primary engagement point with business customers to understand decisions, use cases, operational processes, and desired outcomes and how the data supports them.
- Lead discovery and consultation activities that translate customer needs into clear functional requirements, business rules, acceptance criteria, and value measures required for the creation of durable data assets.
- Ensure the functional context and intended use of data are understood and documented before engineering execution begins.
Data Analysis, Profiling & Requirements- Lead a team of Data Analysts responsible for requirements development, data discovery, profiling, analysis, and solution creation, and validation.
- Assess source data for quality, completeness, usability, and fitness for purpose, identifying gaps and remediation needs early in the lifecycle.
- Define business semantics, transformation logic, data relationships, and readiness criteria needed by Data Operations and Data Engineering teams.
Data Product Integration & Validation- Partner closely with Data Operations and Data Engineering throughout design and delivery to ensure solutions reflect business intent and support reuse.
- Lead functional testing and business acceptance validation of engineered datasets, data products, and integrated solutions.
- Coordinate customer feedback, adoption, and transition activities, and ensure successful solutions are integrated into business workflows.
Business Process Automation & Optimization- Facilitate the assessment and redesign of business processes that can be improved through data, workflow automation, AI, and process simplification.
- Ensure data products and automation solutions are designed together when combined capabilities provide stronger business outcomes.
- Establish reusable approaches and standards for workflow automation, controls, monitoring, and operational handoff.
Solution Delivery & Customer Enablement- Deliver data and analytical solutions directly when customer needs can be met effectively without extensive engineering investment.
- Support rapid prototyping and learning-stage work while establishing a clear pathway for solutions that require enterprise-scale operationalization.
- Enable customers to adopt and use data products, integrated solutions, and automated workflows effectively.
Automation of the Analyst Function- Establish a strategy to automate requirements discovery, data profiling, documentation, testing, and traceability.
- Use AI, metadata, workflow, and reusable analytical patterns to increase analyst capacity, consistency, and speed.
- Develop repeatable operating practices that reduce manual effort and improve quality across the solution lifecycle.
What This Role Is Not- Not a pure development role
- Not a traditional reporting or BI delivery organization
- Not limited to requirements documentation or passive advisory work
- Not a governance policy ownership role
- This role exists to ensure the right business problems are solved through the right combination of data, integrated solutions, and business process automation.
Required Experience & Capabilities- Senior leadership experience in data analysis, data products, business process automation, analytics consulting, or enterprise solution delivery.
- Demonstrated experience leading multidisciplinary teams of Data Analysts, Product Analysts, Business Process Analysts, or Automation Specialists.
- Proven ability to translate business needs and operational processes into functional requirements, data specifications, and scalable solutions.
- Strong experience with data discovery, profiling, quality assessment, testing, business acceptance, and solution adoption.
- Demonstrated success in business process analysis, process redesign, workflow automation, and measurable operational improvement.
- Understanding of enterprise data platforms, integration patterns, analytics, AI, metadata, and automation technologies.
- Strong customer engagement, communication, influencing, and change leadership skills.
- Experience in complex, regulated enterprises preferred.
Measures of Success- Business needs are consistently translated into clear, actionable functional and data product requirements.
- Reduced rework and faster delivery due to stronger business context, profiling, and validation.
- Data products and integrated solutions are adopted and reused across multiple use cases.
- Business process automation produces measurable improvements in cycle time, quality, control, customer experience, or productivity.
- Analyst activities become faster and more consistent through automation and reusable methods.
- Customers experience improved time-to-value and satisfaction from enterprise data and automation capabilities.
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 184,400 - 307,400 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus and long term incentive plan.
At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.
