Principal, Product Manager, Next Best Action

Humana

15h • Hybrid

About The Position

Humana is a $100+ billion, Fortune 50, healthcare leader dedicated to improving the health and well-being of some of the most vulnerable populations in the United States—seniors, people with disabilities, and lower-income Americans. Humana is uniquely positioned to transform healthcare delivery by making high-quality care more affordable, accessible, and secure through integrated healthcare services, innovative technology, and data-driven solutions. To help deliver on this mission, we are seeking a senior product leader to define, build, and scale an enterprise
wide Next Best Action (NBA) decisioning engine—the intelligence layer that will power personalized, context
aware, and compliant engagement across all channels. You will serve as both the strategic and technical lead for a foundational capability, responsible for translating business goals into reusable decision logic, orchestration frameworks, and measurable outcomes. This role is ideal for candidates with background equivalent to Decision Architects, Decisioning Consultants, or practitioners who have delivered enterprise decisioning frameworks (e.g., Pega CDH, Adobe RTCDP, Salesforce Einstein, RTIM, or similar).

Requirements

• Bachelor’s in Marketing, Business Administration, Computer Science, or Information Technology, or related.
• 8–12+ years in product management, decisioning architecture, enterprise personalization, or related roles.
• Deep hands on experience with Pega CDH, Adobe RTCDP, Salesforce Interaction Studio/Einstien, or equivalent decisioning platforms.
• Expertise in NBA frameworks, arbitration logic, real time decisioning, customer journey orchestration, and adaptive learning.
• Advanced understanding of microservices architecture, event driven data pipelines, APIs, and streaming frameworks.
• Ability to define and translate decision tables, scoring models, and algorithmic logic into business rules.
• Experience partnering with Data Science and Engineering to operationalize predictive models.
• Proven record of leading through influence in large, matrixed organizations.
• Skilled at simplifying complex technical concepts for senior audiences.
• Capable of creating cross portfolio alignment and adoption of shared product capabilities.

Nice To Haves

• Master’s degree or certification in Marketing, Business Administration, or Information Technology, or related.
• Background in agile marketing planning or enterprise transformation.
• Thrives in highly collaborative projects, effective at building consensus, handles decisions with ease, and has the ability to navigate ambiguity.

Responsibilities

• Lead the evolution of an enterprise decisioning ecosystem that unifies marketing, digital, data, and operations functions.
• Build a 6 quarter roadmap focused on continuous, measurable value—through data driven decisioning, adaptive learning, and cross channel orchestration.
• Embed product discipline into how the organization builds and uses decisioning capabilities, helping move from fragmented campaign execution to coordinated, customer centric engagement.
• Translate enterprise goals into decisioning strategies, eligibility criteria, prioritization logic, and optimization frameworks.
• Author and socialize the NBA operating model—clear governance, value tracking, and adoption metrics.
• Collaborate across teams to design a modular, platform agnostic decisioning framework inspired by best in class technology (e.g., Pega CDH)
• Help align integration patterns, APIs, and reference architectures that enable scalability across digital, voice, service, and outbound channels.
• Define and maintain a centralized Action Catalog with metadata, KPIs, constraints, and policies for approval, versioning, and retirement.
• Establish governance frameworks in partnership with Compliance, Legal, and Data Governance to ensure responsible and auditable personalization at scale.
• Partner with Data Science and Analytics teams to define model inputs, outputs, and monitoring requirements for predictive and adaptive models.
• Serve as the enterprise subject matter expert (SME) on decisioning and personalization, translating technical concepts for marketing, service, and channel leads.
• Partner with senior leaders across business units to align NBA priorities with enterprise OKRs and in flight initiatives.
• Write detailed product requirements, user stories, and acceptance criteria.
• Partner closely with engineering and architecture to deliver scalable, resilient, and high performance services.
• Define KPIs and dashboards to measure NBA value realization, e.g., enterprise adoption rate (# of channels using NBA logic)
• Drive continuous optimization through test and learn programs and closed loop feedback into modeling and arbitration strategies.

Benefits

• medical, dental and vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance
• many other opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees