Role Overview
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
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 130,900 - 218,100 USD / yearly, depending on relevant factors, including experience and geographic location.
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
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
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.