Staff VP Advanced Analytics

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Position Title:

Job Description:

Title Staff VP Advanced Analytics AI

Location: Chicago IL; Atlanta GA; Denver CO; Virginia Beach VA; Mason OH; New York; NY

Summary Technical Leadership role for AI Team

Position Responsibilities

Key Responsibilities

1. AI Services Strategy & Roadmap

• Define Strategic Direction: Develop and refine the AI services roadmap ensuring alignment with the organizations vision and business priorities.
• Leverage Platform Capabilities: Identify opportunities to reuse and extend the organizations 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.

2. 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.

3. Delivery & Project Oversight

• Project Coordination: Oversee multiple AI service engagements concurrently from requirements gathering and scoping through development testing deployment and postlaunch monitoring.
• Resource Allocation: Align crossfunctional teamsdata scientists ML engineers solution architects and business analyststo 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.

4. 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 AIdriven 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 organizations production environment.

5. Team Leadership & Development

• Build & Mentor Teams: Recruit mentor and guide a diverse highperforming 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.

6. 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.

7. 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 riskstechnical regulatory or operationaland develop mitigation strategies to ensure project success and platform reliability.

Technical Expertise

Indepth knowledge of machine learning deep learning NLP computer vision or other advanced analytics techniques.

Familiarity with AI/ML frameworks (e.g. TensorFlow PyTorch scikitlearn) and cloud platforms (AWS Azure GCP).

Experience with MLOps containerization (Docker Kubernetes) and CI/CD pipelines focusing on reusability and scalability of AI components.

Leadership & Soft Skills

Strong executive presence with the ability to distill technical AI topics into actionable insights for senior stakeholders.

Proven ability to foster collaboration across engineering product and business units to drive holistic solutions.

Excellent communication negotiation and interpersonal skills to manage stakeholder expectations and partnerships effectively.

Position Requirements

Requires a BA/BS in a quantitative major; 8 years of experience in leading advanced analytical function in a major industry such as healthcare banking/credit insurance ecommerce or consulting; or any combination of education or experience which would provide an equivalent background.

Preferred Skills Capabilities and Experiences

Masters degree in a quantitative field MBA or MPH preferred.

Indepth knowledge of machine learning deep learning NLP computer vision or other advanced analytics techniques.

Familiarity with AI/ML frameworks (e.g. TensorFlow PyTorch scikitlearn) and cloud platforms (AWS Azure GCP).

Experience with MLOps containerization (Docker Kubernetes) and CI/CD pipelines focusing on reusability and scalability of AI components.

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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 marketcompetitive 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/memberfacing roles to become vaccinated against COVID19 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 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.