US Health Analytics Implementation Manager – Data Warehouse Analytics

Posting Description

US Health Analytics Implementation Manager –Data Warehouse Analytics

Aon is looking for a Health Analytics Implementation Manager – Data Warehouse Analytics to  support the US Health Analyticscapabilitiesby leadingdatawarehouseimplementations,managing existingintegrations,supporting related contractingandclient delivery operations across a complex analytics landscape.

Preferred locations are Chicago, IL;
Atlanta, GA;
Denver, CO; or New York, NY. Hybrid work is preferred, with flexibility for remote work for strong candidates.

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.

This role is responsible for working with Aon clients, client team members, and Aon’s data warehouse vendor partners to support clients’ investments in data warehousing including supporting client implementations, data quality assurance, ad hoc requests, and user support. Complex data warehouse implementations will require the manager to coordinate high-volume, multi-party and multi-data source agreements across data acquisition, data sharing, analytics services, and Aon internal and partner platforms.

The implementation manager ensures that data use frameworks and Aon internal contracting, audit and privacy standards enable scalable, compliant, and high-performing data and analytics solutions, while driving standardization, risk mitigation, and operational efficiency.

The role serves as a key integrator across data warehouse vendors, data warehouse team, analytics, procurement, Aon data platforms and client teams. It translates business and technical requirements into structured contractual terms and ensures vendor and carrier agreements support enterprise data strategy, analytics product delivery, and client outcomes.

This role is expected to operate as a senior professional. Strong candidates will typically have:

• 8+ years of experience in data warehousing, data use agreement management, vendor contracting, or commercial data contracting within healthcare data analytics
• Experience in using and implementing data warehouse analytics tools such as Merative/Truven, Cotiviti, HDMS, Artemis, Springbuk, Cedar Gate or similar platforms
• Assist with defining data warehouse-based data acquisition, development, and analytic best practices and demonstrating the value of our analytic platforms
• Familiarity with claims, pharmacy, eligibility, clinical, program or provider data and their use in analytics solutions preferred. Strong understanding of healthcare data constructs and data governance requirements, including PHI handling, HIPAA, and security considerations
• Experience organizing, negotiating and managing complex agreements, including data use agreements (DUAs), data sharing agreements (DSAs), SaaS agreements, service contracts, and amendments
• Understanding of contracting considerations related to AI, machine learning, and analytics automation preferred
• Experience aligning contractual frameworks to multi-client data environments and analytics products
• Proven ability to partner effectively across Legal, Privacy, Security, Procurement, Analytics, Operations, vendors, carriers, and client-facing teams
• Strong stakeholder management, communication, and issue escalation skills with the ability to balance competing priorities
• Experience managing vendor relationships, including pricing negotiations, SLAs, performance guarantees, and cost optimization initiatives
• Experience supporting vendor security, audit readiness, and regulatory compliance (e.g., SOC, HITRUST, or similar frameworks)
• Ability to translate technical and business requirements into practical contract structures and enable scalable data and analytics operations
• Predictive modeling, project management, Python programming, advanced analytics, statistical analysis, data analysis, SQL (Structured Query Language), data integration, data management, data mining,…