Become a part of our caring community Join a world-class marketing organization creating the best possible engagement experience for millions of members 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). ​​​Role 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.​​​
• ​​​​​​​​​ ​​​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.

Use your skills to make an impact Required Qualifications:

• ​​​​​Bachelor’s in Marketing, Business Administration, Computer Science, or Information Technology, or related.

Decisioning & NBA Expertise

• 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 decis