Note: The job is a remote job and is open to candidates in USA. Humana Inc. is a leading U.S. healthcare company seeking a Principal Decision Intelligence Engineer to lead the technical direction of their decision intelligence capabilities. The role involves end-to-end ownership of the decision system, mentoring engineers, and guiding software development teams to enhance decision-making processes.
Responsibilities
- Own the complete pipeline from member signals to live decisions: feature engineering, decisioning logic, optimization, scoring, deployment into NBA platform software/infrastructure, and production monitoring
- Design the system that determines what to do for each member, when, and through which channel. Translate business objectives into reward structures, constraints, and optimization formulations, and know when a rule, a model, or a solver is the right tool
- Design and build the member feature layer on the Databricks Lakehouse (clinical, behavioral, web clickstream, socioeconomic signals) in partnership with data engineering. Define what signals matter and ensure they are available, correct, and timely at decision time
- Lead the design of how the system plans sequences of actions across a member journey, balancing short-term engagement with long-term outcome goals. This includes reward shaping, constraint satisfaction, policy evaluation, and reasoning about delayed feedback
- Own how decision outputs flow into live systems: scoring pipelines, serving infrastructure, action masking, and real-time feedback loops from downstream behavioral signals
- Design holdout frameworks and online evaluation strategies that isolate the effect of decisioning changes. Define success metrics and translate experiment results into system improvements and roadmap input
- Lead a team of engineers across the full delivery lifecycle. Run design reviews, set the technical quality bar, and keep delivery moving while holding the architecture together. Guide software development teams building the services, APIs, and infrastructure that support decision intelligence algorithms in production
- Develop team members through code reviews, pairing, and ongoing technical guidance
- Champion the use of AI coding and research tools (Claude, Copilot, etc.) across the team and model what high-leverage AI-augmented engineering looks like in practice
Skills
- Bachelor's degree in computer science or relevant field
- 10+ years in software engineering with deep exposure to data-intensive applications, applied AI, or decision systems, with a track record of end-to-end software delivery
- 2-5 years of product people leadership
- Experience leading a multifunctional technical team, setting direction, removing blockers, and being accountable for results
- Strong foundation in optimization and sequential decision-making, including objective functions, constraints, tradeoffs across time, and how system design choices affect what gets selected or learned
- Experience designing reward structures, evaluation criteria, or planning frameworks that translate a business goal into something a system can optimize against
- Hands-on experience with Python and the full engineering stack, including backend services, data pipelines, and AI/ML tooling (PyTorch, MLflow, PySpark, or equivalents)
- Experience building and owning pipelines on a cloud data platform (Databricks, Snowflake, or equivalent) at scale
- Strong grounding in experimental design, including constructing clean tests, avoiding confounding, and interpreting results correctly
- Able to make independent architectural decisions on complex, ambiguous problems
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
- Strong communication skills across technical and non-technical audiences
- Fluency with AI productivity tools (Claude, GitHub Copilot, or similar)
- Master's degree
- Experience with linear programming, integer programming, or constraint-based optimization in a production setting
- Background in personalization, recommendation systems, or next-best-action platforms
- Familiarity with Kafka-based event pipelines and real-time feedback loop design
- Experience with causal inference or uplift modeling
- Background in healthcare, insurance, or other regulated industries with PHI/HIPAA constraints
Benefits
- This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
- 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, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
- Associates or contractors who live and work from home in the state of California will be provided with payment for their internet expense.
Company Overview
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