Description
We're building a world of health around every individual , shaping a more connected, convenient and compassionate health experience.
Lead the design and delivery of customer intelligence and enterprise data products that give the business trusted, AI-ready insight into customer behavior, needs, and experience.
Responsibilities
Customer Intelligence and Data Products
- Define the customer intelligence strategy and roadmap, prioritizing enterprise data products that serve business, analytics, and AI use cases.
- Build and maintain scalable analytical solutions in BigQuery and GCP, using advanced SQL and analytics engineering practices.
- Develop customer segmentation and behavioral models in partnership with business leaders, translating insights into actionable decisions.
- Integrate survey, feedback, interview, and focus group data with behavioral and transactional data to create a unified view of the customer.
Enterprise Data Architecture and AI Readiness
- Design and maintain enterprise customer data models that are consistent, reusable, and optimized for analytical performance and cost in BigQuery.
- Establish metadata management practices, including data catalogs, business glossaries, and documentation.
- Build and govern semantic and context layers that define customer entities, relationships, and business logic.
- Prepare AI-ready data assets by ensuring that data is well structured, documented, high quality, and accessible to machine learning models and generative AI use cases.
Data Governance, Quality, and Compliance
- Define and maintain trusted, certified customer metrics with clear ownership, definitions, and calculation logic.
- Implement data quality standards, automated validation checks, monitoring, and alerting.
- Document and maintain end-to-end data lineage from source systems to reports and models.
- Partner with data governance, privacy, legal, and security teams to ensure that customer data use complies with applicable regulations and internal policies.
Collaboration and Enablement
- Partner with business, analytics, engineering, and technology teams to define requirements, align priorities, and deliver data solutions.
- Translate complex analyses into clear visualizations, reports, and presentations that guide decisions by executives and other stakeholders.
- Lead cross-functional initiatives that improve customer satisfaction and experience outcomes using customer feedback and analytics.
- Coach analysts and department teams on SQL, data modeling, governance practices, and research methodology.
Requirements
- 5-7 years of experience in analytics, analytics engineering, data architecture, or data engineering, including customer or CX data.
- Advanced SQL proficiency, including performance tuning, complex transformations, and query optimization.
- Demonstrated experience with data modeling and metadata management.
- Working knowledge of data governance, data quality, data lineage, and compliance requirements for customer data.
- Experience delivering insights through data visualization and BI tools, and presenting to technical and non-technical audiences.
- Proven ability to solve problems, make sound decisions, and deliver results across cross-functional teams.
- Demonstrated growth mindset, including developing yourself and coaching others.
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources, based on eligibility