Sr. Manager, Product Development (AI & Automation Product Management)

The Sr. Manager of Product Development (AI & Automation Product Management) leads the strategy, design, and delivery of both AI-driven and rules-based automation products. This role is responsible for advancing intelligent automation across the enterprise by combining advanced AI/ML capabilities with traditional workflow, rules, and process automation solutions.

The leader will drive a cohesive product strategy that integrates AI-enabled decisioning with deterministic automation to deliver scalable, efficient, and compliant operational outcomes. This role requires strong product leadership, technical fluency across AI and automation paradigms, and the ability to guide cross-functional teams from ideation through deployment and continuous optimization.

Key Responsibilities

Product Strategy & Vision (AI + Automation)

• Define and execute a unified product strategy that spans AI/ML solutions and non-AI automation (e.g., rules engines, workflow orchestration, RPA)
• Identify and prioritize opportunities to optimize processes using the right approach (AI vs. deterministic automation vs. hybrid)
• Develop integrated product roadmaps aligning business goals, operational efficiency, and customer experience
• Drive build vs. buy vs. partner decisions across AI platforms and automation tooling

Product Development & Delivery

• Lead end-to-end lifecycle for AI and non-AI automation products: ideation, requirements, design, build, launch, and continuous improvement
• Translate business and operational needs into product requirements, user stories, and automation logic
• Deliver:
  • AI-driven solutions (e.g., NLP, document intelligence, predictive models)
  • Rules-based automation (e.g., decision engines, workflows, straight-through processing)
• Ensure scalability, resiliency, and maintainability across automation solutions

AI, Data & Automation Integration

• Partner with data scientists, engineers, and automation teams to implement:
  • Machine learning models and LLM-based capabilities
  • Workflow automation engines and orchestration platforms
  • Document processing and structured/unstructured data pipelines
• Design hybrid solutions combining:
  • AI inference + business rules
  • Human-in-the-loop workflows where needed
• Ensure proper model lifecycle management (MLOps) alongside automation lifecycle governance

Required Domain & Product Ownership

• AI and automation products including:
  • Automated Case Creation (IntelliPath Connect)
  • IntelliPath Clinicals
  • Automated Approval (M0)
  • Automated Fax / Unstructured Data Processing (ORCA)
  • Clinical Review Intelligence (CRI)
  • Real-Time Document Approval (RTDA)
  • UPADS/Pathway related workflow and decision automation
• Deeply understand and optimize:
  • End-to-end workflows across intake, review, decisioning, and document processing
  • Integration points between AI solutions and deterministic automation systems
  • Identify opportunities to:
• Increase straight-through processing rates
  • Reduce manual intervention
  • Improve accuracy, cycle time, and operational scalability

Customer, Operations & Workflow Focus

• Analyze user workflows and operational bottlenecks to determine optimal automation approaches
• Balance accuracy, explainability, and efficiency in AI vs. rule-based decisioning
• Ensure seamless user experiences across automated and human-driven processes
• Drive adoption through intuitive design, transparency, and trust in automation outputs

Governance, Risk & Responsible Automation

• Ensure all AI and automation solutions meet regulatory, compliance, and audit requirements
  • Establish governance frameworks for:
  • AI model risk (bias, drift, explainability)
  • Rules engine integrity and change control
  • Automation failure handling and exception management
• Partner with risk, compliance, and legal to maintain responsible and ethical solutions

Leadership & Stakeholder Management

• Lead and mentor product managers across AI and automation domains
• Collaborate with business, clinical, operations, IT, and data teams
• Influence executive stakeholders with clear product vision, roadmap, and ROI-driven outcomes
• Manage vendor relationships across AI platforms and automation tools

Performance, Metrics & Continuous Improvement

• Define KPIs across both AI and non-AI automation, including:
  • Automation rate / straight-through processing
  • Model accuracy and precision
  • Cycle time reduction
  • Cost savings and productivity gains
• Establish feedback loops for:
  • AI model retraining
  • Rules optimization
  • Workflow refinement

Required Qualifications

• Bachelor’s degree in Business, Engineering, Computer Science, or a related field, or equivalent work experience required; MBA preferred.
  8+ years of product management experience, including:
  • AI/ML-based products
  • Workflow, RPA, or rules-based automation solutions
• Proven success delivering complex automation products at scale
• Strong understanding of:
  • AI/ML concepts (NLP, LLMs, predictive modeling)
  • Business process automation (workflow engines, decision rules, RPA)
• Experience working in agile, cross-functional environments
• Strong leadership, communication, and stakeholder management skills

Preferred Qualifications

• Experience in healthcare or other regulated industries
• Familiarity with document intelligence, clinical decision support, and case management systems
• Experience with cloud platforms (Azure, AWS, GCP) and automation tools
• Knowledge of MLOps and automation lifecycle management frameworks

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

About Evernorth Health Services

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.