Senior Director, Data Analysis, Products & Integration
About The Position
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.
Requirements
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Benefits
- medical
- vision
- dental
- well-being and behavioral health programs
- 401(k)
- company paid life insurance
- tuition reimbursement
- 18 days of paid time off per year
- paid holidays
- leaves of absence
- annual bonus
- long term incentive plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
