Staff VP AI Technology
Elevance Health
**Staff VP AI Technology**
**Location:** May be located in any Elevance Health PulsePoint office preferably in Indianapolis, IN, Atlanta, GA, Mason, OH, Richmond, VA, Norfolk, VA or Woodland Hills, CA.
_This role requires associates to be in-office at least 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law._
**Summary**
Responsible for overseeing the AI strategic initiatives that optimize the value of artificial intelligence across the enterprise; enabling multiple business needs including improving service; and driving adoption of AI and analytics across enterprise.
**Position Responsibilities**
**AI Services Strategy & Roadmap**
+ Define Strategic Direction: Develop and refine the AI services roadmap, ensuring alignment with the organization’s vision and business priorities.
+ Leverage Platform Capabilities: Identify opportunities to reuse and extend the organization’s existing AI platform modules, components, and frameworks in new services and solutions.
+ Market & Innovation Insights: Maintain awareness of AI trends, tools, and best practices to continuously evolve the service portfolio.
**Collaboration with AI Engineering & Platform Teams**
+ Seamless Integration: Partner with the AI Engineering team to understand the architecture, design patterns, and reusable modules of the AI platform, incorporating them effectively into client or internal solutions.
+ Feedback Loop: Provide structured feedback to AI Engineering on platform usability, performance, and feature requests to ensure continuous improvement of reusable components.
+ Standardization & Governance: Champion best practices for model deployment, MLOps, versioning, and quality assurance, ensuring consistent standards across all AI services.
**Delivery & Project Oversight**
+ Project Coordination: Oversee multiple AI service engagements concurrently, from requirements gathering and scoping through development, testing, deployment, and post-launch monitoring.
+ Resource Allocation: Align cross-functional teams—data scientists, ML engineers, solution architects, and business analysts—to project demands, leveraging centralized AI platform assets for efficiency.
+ Quality & Compliance: Implement standardized processes (e.g., agile, MLOps frameworks) and adhere to data privacy, security, and regulatory guidelines for all AI deliverables.
**Ecosystem Integration & Enablement**
+ Enterprise Alignment: Work with IT, Product, and Data teams to integrate AI solutions into the broader technology stack (data pipelines, APIs, microservices, DevOps workflows, etc.).
+ Technology Evangelism: Serve as an internal advocate for AI-driven solutions, highlighting the benefits of adopting reusable AI platform capabilities across business functions.
+ Scalability & Reliability: Ensure deployed AI services are scalable, resilient, and performant within the organization’s production environment.
**Team Leadership & Development**
+ Build & Mentor Teams: Recruit, mentor, and guide a diverse, high-performing AI Services team, fostering an environment of continuous learning and innovation.
+ Skill Development: Drive ongoing technical and professional development initiatives to keep teams at the forefront of AI advancements and platform best practices.
+ Culture & Collaboration: Promote open communication, knowledge sharing, and collaboration between AI Services, AI Engineering, and other organizational teams.
**Stakeholder Management & Business Impact**
+ Executive Partnering: Engage with senior leadership to define, prioritize, and align AI service initiatives with strategic business goals.
+ Client & Business Unit Relations: Collaborate with external clients or internal departments to understand requirements, tailor AI solutions, and deliver measurable outcomes.
+ Value Measurement: Define and track KPIs (e.g., adoption rate, cost savings, revenue uplift, model performance) to demonstrate the tangible business impact of AI services.
**Financial & Operational Management**
+ Budget Ownership: Plan and manage the budget for AI Services, allocating resources effectively to meet project commitments and growth targets.
+ Vendor & Partnership Management: Identify and manage relationships with external partners, consultants, and academic institutions to expand or enhance platform capabilities.
+ Risk Mitigation: Identify potential risks—technical, regulatory, or operational—and develop mitigation strategies to ensure project success and platform reliability.
**Leadership & Soft Skills**
+ Experience with distilling technical AI topics into actionable insights for senior stakeholders.
+ Experience fostering collaboration across engineering, product, and business units to drive holistic solutions.
+ Hires, trains, coaches, counsels, and evaluates performance of direct reports.
**Position Requirements**
Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 15 years of IT leadership experience, with 8 years’ experience in large enterprises leading multiple delivery teams, large code bases, high transactional based systems, prefer payer commercial systems experience in claims, product, provider, and/or membership required; large program leader experience ($100M+) including but not limited to business case development through final implementation; or any combination of education and experience, which would provide an equivalent background.
**Preferred Skills, Capabilities and Experiences**
+ In-depth knowledge of machine learning, deep learning, NLP, computer vision, or other advanced analytics techniques.
+ Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP).
+ Experience with MLOps, containerization (Docker, Kubernetes), and CI/CD pipelines, focusing on reusability and scalability of AI components.
For candidates working in person or virtually in the below location, the salary* range for this specific position is $221,520 to $398,736.
Locations: California
In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws _._
* The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
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