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Dir, AI CoE

Job in Newark, Essex County, New Jersey, 07101, USA
Listing for: Blue Cross and Blue Shield Association
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, IT Project Manager, Data Science Manager
Job Description & How to Apply Below
Horizon Blue Cross Blue Shield of New Jersey empowers our members to achieve their best health. For over 90 years, we have been New Jersey's health solutions leader driving innovations that improve health care quality, affordability, and member experience. Our members are our neighbors, our friends, and our families. It is this understanding that drives us to better serve and care for the 3.5 million people who place their trust in us.

We pride ourselves on our best-in-class employees and strive to maintain an innovative and inclusive environment that allows them to thrive. When our employees bring their best and succeed, the Company succeeds.

About the Role

The Director of the AI Center of Excellence will lead the strategic vision, development, and execution of enterprise-wide Artificial Intelligence initiatives within the organization. This role is responsible for driving innovation, ensuring compliance with healthcare regulations, and delivering AI solutions that enhance operational efficiency, improve member experience, and support clinical and financial outcomes. The Director serves as a thought leader and advisor to senior leadership, ensuring the CoE delivers measurable value and operational efficiency.

What You'll Do

Strategic Leadership & Vision

* Guide the strategic vision, roadmap, and execution of the AI CoE, ensuring the delivery of measurable business value in alignment with organizational priorities

* Communicate the AI strategy and roadmap to stakeholders at all levels of the organization in a collaborative and consultative manner; build strong relationships with key stakeholders to drive AI adoption and alignment

* Partner with business and IT stakeholders to identify high-value AI technology enabled use cases, assess feasibility, and prioritize initiatives based on impact and ROI

* Stay current with emerging trends in AI and healthcare technologies to guide future innovation

* Influence and navigate the corporate landscape to secure resources and support for AI initiatives

* Assess and quantify AI-related risks, including potential business losses and human impacts

* Ensure stakeholders are informed (e.g. explainable AI and bias detection) and promote ethical use of AI

* Promote the value of AI to all levels of the organization; drive enterprise change management, including training programs to upskill staff and foster an AI-first culture

AI Project Execution & Delivery

* Oversee AI project lifecycle, from ideation to proof-of-concept, MVP, production deployment and maintenance; ensure successful execution of AI initiatives, on time, within budget, and in adherence to quality standards

* Ensure responsible and ethical AI deployment, including explainability, bias mitigation, and secure data handling

* Manage global resources, including FTEs, contractors, and external partners

* Develop business cases, manage budgets, and track AI investment ROI

Technology & Innovation

* Maintain a strong understanding of digital technologies and trends, with a focus on AI, machine learning, data analytics, and cloud computing; participate in industry forums and working groups to help shape future AI business technology

* Collaborate with IT, architecture, and cloud teams to design scalable AI infrastructure leveraging technologies such as AWS, Azure, Databricks, Snowflake, etc.

* Ensure that security and appropriate guardrails are in place for AI systems and data

Operational Excellence & Governance

* Define AI governance and ethics frameworks, policies and processes to ensure responsible and compliant AI practices

* Establish and maintain performance metrics, KPIs and dashboards to track AI solution performance and adoption

* Lead development and maintenance of AI architecture and development artifacts, roadmaps, blueprints, patterns other best practices; drive simplification and efficiency in AI operations

* Identify opportunities for application, technology rationalization to reduce redundance and obsolescence

* Oversee the selection and implementation of tools and processes that support the effective delivery of AI services

* Oversee IT risk, security, and controls related to AI systems and data; develop…
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