Manager Data Science, LTSS Analytics & Performance Management

Amerihealth Caritas•,

7d•Remote

About The Position

The Manager, Data Science for LTSS Analytics & Performance Management leads a team of analysts advancing the Long-Term Services and Supports (LTSS) analytics portfolio across multiple AmeriHealth Caritas lines of business. The role partners with LTSS operations, care management, utilization management, finance, and market leadership to deliver insights that support member outcomes, operational performance, regulatory compliance, and total cost of care. It is responsible for identifying business opportunities, translating operational challenges into analytic solutions, and delivering reporting, performance monitoring, and advanced analytics initiatives aligned with LTSS business objectives. The position evaluates business processes and identifies opportunities to improve operations, quality, and cost-of-care management. It supports data-driven decision-making and develops and implements scalable analytics capabilities for growth and performance across current and future LTSS markets. The manager works with business leaders to prioritize work, establish performance monitoring frameworks, and operationalize insights. This is a 100% remote role, and the employee must live in the Eastern or Central time zone. Reliable high-speed internet of at least 50 Mbps download and 5 Mbps upload is required for remote work.

Requirements

Bachelor’s degree in biostatistics, public health, health analytics, data science, or a related field.
Five to eight years of experience, including one to three years of people management or equivalent mentoring of three to six individual contributors.
Experience with performance management, prioritization, and stakeholder communication.
Familiarity with workforce planning, hiring, and operating rhythm management.
Executive communication, multi-domain analytics ownership, budget management, regulatory depth, and ROI framing.
Demonstrated ability to influence senior leaders without formal authority.
Skills in people management, project delivery, SQL/BI tools, and business process analysis.
Strong communication, stakeholder management, and business translation skills.
Experience with cloud data environments, APIs, ETL/ELT pipelines, semantic models, and governed reporting layers.
Experience with Python and at least one scripting- or machine-learning-oriented toolchain.
Strong consultative problem-framing, cross-functional collaboration, and change management skills.
Comfort operating in ambiguity and shaping solutions across business, clinical, and technology teams.
Demonstrated success leading transformation across payer clinical analytics domains.
Ability to connect enterprise analytics decisions to financial, operational, and regulatory outcomes.
Strong problem-solving, project ownership, and stakeholder management skills.
Must live in the Eastern or Central time zone.
For remote work, access to reliable high-speed internet with at least 50 Mbps download and 5 Mbps upload is required.

Nice To Haves

Master’s degree preferred.
Significant experience leading analytical teams within managed care environments, with expertise in LTSS, Dual Eligible, Medicaid, or other complex populations.

Responsibilities

Manage a team of analysts and oversee day-to-day delivery of reporting and analytics output.
Assume functional ownership of the LTSS analytics domain and ensure work aligns with operational needs.
Translate business priorities into team plans, deliverables, and timelines.
Coach analysts in technical skill development and professional growth.
Monitor workload, quality, and stakeholder satisfaction while improving team processes.
Partner with LTSS operations, care management, utilization management, finance, and market leadership to deliver actionable analytics and insights.
Identify business opportunities and translate complex operational challenges into analytic solutions.
Support development and lead implementation of scalable analytics capabilities.
Establish performance monitoring frameworks and operationalize insights to improve outcomes and cost management.
Evaluate business processes and identify opportunities to improve operations, quality, and cost-of-care management.