Manager Advanced Analytics

Job Summary

As a key leader within the Customer Analytics team, the Manager of Advanced Analytics II serves as the product owner for enterprise product analytics capabilities, defining how customer experiences are measured, understood, and improved across the healthcare system. This role is responsible for establishing the vision, strategy, and roadmap for product analytics while ensuring alignment with organizational priorities, customer experience goals, and business outcomes.

The Manager leads a team of analytics and data product professionals responsible for developing scalable analytics solutions and data products that enable actionable insights. Working closely with product, design, engineering, operational, and executive stakeholders, this leader defines success metrics, measurement strategies, and customer journey insights that drive engagement, satisfaction, retention, and service utilization.

In addition to overseeing analytics product development, this role manages analytics operations, reporting services, governance standards, and project portfolios. The Manager ensures consistency in metric definitions, data quality, and reporting practices while driving self‑service analytics adoption across the organization. Success in this role requires strong product thinking, strategic leadership, exceptional communication skills, and the ability to influence across teams to connect analytics investments to meaningful customer and business outcomes.

• Own the vision, strategy, and roadmap for product analytics capabilities, ensuring alignment with customer experience objectives and organizational priorities.

• Lead, coach, and develop a team of analytics professionals and data product developers responsible for delivering analytics solutions and data products.

• Partner with product, design, engineering, clinical, operational, and business leaders to define success metrics, measurement frameworks, and analytics strategies for customer‑facing products and services.

• Identify, analyze, and prioritize critical moments within the customer journey that influence engagement, retention, satisfaction, and service utilization.

• Translate business and product needs into clear requirements and actionable analytics solutions that support strategic decision‑making.

• Ensure consistency of metric definitions, reporting standards, and data quality across analytics products and platforms.

• Drive adoption of analytics products by enabling stakeholders to self‑serve insights and make data‑driven decisions with confidence.

• Communicate analytics insights, recommendations, and strategic opportunities to senior leadership, helping shape product direction and organizational priorities.

• Serve as a trusted advisor to analytics leadership, business stakeholders, and executive teams by providing practical, data‑driven recommendations and thought leadership.

• Accountable for ensuring staff appropriately define, document, develop, test, and deliver analytics solutions in a timely and effective manner.

• Proactively identify risks, issues, and opportunities for improvement and lead remediation efforts.

• Create and manage domain portfolios in partnership with analytics leadership and service line owners, ensuring alignment with organizational priorities and standards.

• Lead the prioritization and management of analytics initiatives using Agile methodologies, maintaining visibility into project progress, dependencies, and outcomes.

• Develop and execute large‑scale or enterprise‑wide project plans, ensuring successful delivery within scope, budget, and timeline expectations.

• Drive process improvements, automation initiatives, and self‑service analytics capabilities to increase efficiency and user adoption.

• Partner with business, technology, and healthcare teams to define analytics requirements and integrate them into operational planning and performance measurement activities.

• Support strategic planning, goal setting, and financial planning efforts for the analytics domain.

• Manage vendor relationships, product life cycles, upgrades, and issue resolution while continuously identifying opportunities to enhance analytics…