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.
Required Qualifications:
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 decisioning platforms.
Expertise in NBA frameworks, arbitration logic, real‑time decisioning, customer journey orchestration, and adaptive learning.
Technical & Analytical Skills
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.
Leadership & Communication
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.
Preferred Qualifications:
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.
Location:
About Humana:
Humana Inc. is committed to helping people achieve lifelong well-being and strives to create innovative, meaningful experiences for our members and communities. Join us as we transform the future of health and wellness through purpose-driven brand leadership.
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides 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 and many other opportunities.Application Deadline: 04-27-2026
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.