
10,000+ employees
Founded 1982
🏥 Healthcare
⚕️ Healthcare Insurance
đź’Š Pharmaceuticals
Healthcare • Healthcare Insurance • Pharmaceuticals
The Cigna Group is a global health company committed to improving the health and vitality of its clients, customers, and patients. With its two divisions, Cigna Healthcare and Evernorth Health Services, the company focuses on enhancing quality of life through healthcare services and pharmacy benefits management. The Cigna Group is dedicated to ethical practices in healthcare and artificial intelligence, and strives to create positive change in the healthcare system. It also emphasizes its Environmental, Social, and Governance (ESG) responsibilities, aiming to impact health equity and foster innovation in healthcare delivery.
🔥 19 hours ago
🇺🇸 United States – Remote
đź’µ $175.1k - $291.8k / year
⏰ Full Time
đźź Senior
🤖 Artificial Intelligence
đź‘» Ghost score 0%
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10,000+ employees
Founded 1982
🏥 Healthcare
⚕️ Healthcare Insurance
đź’Š Pharmaceuticals
Healthcare • Healthcare Insurance • Pharmaceuticals
The Cigna Group is a global health company committed to improving the health and vitality of its clients, customers, and patients. With its two divisions, Cigna Healthcare and Evernorth Health Services, the company focuses on enhancing quality of life through healthcare services and pharmacy benefits management. The Cigna Group is dedicated to ethical practices in healthcare and artificial intelligence, and strives to create positive change in the healthcare system. It also emphasizes its Environmental, Social, and Governance (ESG) responsibilities, aiming to impact health equity and foster innovation in healthcare delivery.
• Identify, frame, validate, and prioritize AI opportunities with potential for significant enterprise revenue and margin growth • Advise company leadership on which AI opportunities to pursue, how to approach them, and how to prioritize investments • Partner with enterprise, SBU, finance, operations, clinical, and pharmacy leaders to identify high-value business problems • Frame opportunities in terms of customers or clinicians served, value, risks, required investments, and success conditions • Conduct qualitative and quantitative user and market research to validate opportunities • Decompose problems using first principles and assess where AI can unlock value • Translate enterprise and SBU challenges into opportunities with measurable financial, clinical, and experiential outcomes • Recommend whether to proceed, sequence, partner, or stop initiatives • Rank opportunities by strategic alignment, value, feasibility, risk, cost, and speed to value • Develop business cases, investment theses, value realization models, and roadmaps • Assess buy, build, partner, and hybrid paths, and identify duplicate investments • Explore venture investment, incubation, and M&A approaches with relevant colleagues • Define success metrics and measurement instrumentation before work is staffed • Revisit the AI portfolio based on evidence and retire or reframe underperforming work • Establish stage gates and evidence expectations for concept, pilot, and broader adoption decisions • Identify workflow, operating-model, and organizational changes needed for value realization • Partner with DD&AI program and technology functions on portfolio tracking and value reporting • Align recommendations with healthcare, clinical, operational, regulatory, and member or provider realities • Partner with legal, compliance, privacy, information security, governance, and model risk management • Apply Responsible AI principles to investment decisions • Recommend where AI should automate, assist, recommend, or escalate, with clear human accountability • Advise business, clinical, product, and operations leaders through rigorous analyses and data • Communicate recommendations through business narratives, decision frameworks, and financial or outcome models • Align stakeholders with competing priorities and differing AI fluency • Represent AI Strategy in intake, planning, and investment conversations • Mentor colleagues on problem-framing quality
• Bachelor's degree in Business, Finance, Healthcare Administration, Public Health, Information Systems, or a related discipline, or equivalent combination of education and experience • Typically 8+ years in strategy, product strategy, management consulting, business operations, finance, digital transformation, or a related field inside a large or regulated enterprise • Demonstrated experience framing business problems, writing investment cases, and helping leaders make fund, sequence, or stop decisions • Ability to evaluate value, adoption risk, implementation complexity, and total cost of ownership at a decision-quality level, in partnership with technology counterparts • Working literacy in current AI capabilities and limitations • Knowledge of what it takes to build great products, including understanding of user needs and experience expectations • Experience operating in a matrix with competing stakeholders and incomplete information • Clear written and verbal communication with senior business leaders, with ability to make recommendations • If working at home, cable broadband or fiber optic internet service with at least 10 Mbps download/5 Mbps upload • Must meet applicable work authorization requirements
• Annual bonus eligibility • Long term incentive plan eligibility • Medical benefits • Vision benefits • Dental benefits • Well-being and behavioral health programs • 401(k) • Company-paid life insurance • Tuition reimbursement • Minimum of 18 days of paid time off per year • Paid holidays • Leaves of absence • Reasonable accommodation for the online application process • Tobacco-free policy
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