Director, AI & Data Transformation Workforce Health Solutions

TheDirectorAI & Data Transformation will be a key senior leader at Quest Workforce Health Solutions responsible for defining and executing strategy for Artificial Intelligence (AI) and Automation. We are seeking a visionary leader with a proven track record of building high-performing technical teams and leveraging automation to enhance operational capabilities empower employees and create new business value. This pivotal role will champion the adoption of AI to augment our products optimize workflows and secure a sustainable competitive advantage.

Strategic Leadership & Value Creation:

• Develop and execute a comprehensive multi-year AI and automation strategy that aligns with business objectives. Define and track key performance indicators (KPIs) to measure business impact and demonstrate the value created from all initiatives.

Team Leadership & Development:

• Recruit build and mentor a team of AI data and automation specialists. Foster a culture of innovation continuous learning and collaboration focused on delivering impactful results.

Opportunity Identification & Enablement:

• Partner with business leaders to identify high-impact use cases for AI and automation. Lead initiatives to optimize internal processes and workflows driving internal efficiency and enabling our teams to focus on higher-value work applying Lean methodologies and principles where applicable.

Technical Oversight & Execution:

• Oversee the entire lifecycle of AI and automation projectsfrom ideation and prototyping to deployment and optimization. Architect and manage a scalable and secure AI infrastructure and provide hands-on guidance on the implementation of solutions like predictive models LLMs and large-scale automation systems.

Governance Risk & Ethics:

• In partnership with enterprise SMEs establish a robust governance framework for all AI/Automation projects that aligns processes for key use cases (e.g. PHI/PII) ensuring clear prioritization resource allocation and risk assessment. Ensure all deployments adhere to the highest ethical guidelines and data privacy regulations actively working to mitigate bias and operational risks.

Change Management & Communication:

• Drive organizational change management to promote the understanding and adoption of AI solutions. Effectively communicate complex technical concepts and the value of AI initiatives to stakeholders at all levels including the executive leadership team.

Required WorkExperience:

• A minimum of 3-5 years of experience in artificial intelligence machine learning or data science.
• At least 5 years in a leadership role with demonstrated success in building managing and retaining high-performing technical teams.
• A proven track record of developing and deploying AI-powered solutions and automation strategies that have delivered measurable business value unlocked new opportunities and demonstrated a clear return on investment (ROI).
• Demonstrated proficiency with Microsoft Office suite of products particularly Power Point Word and Excel. Alteryx and SQL proficiency is a plus.

Preferred Work Experience:

• Experience with Data Analytics and RPA Platforms: Hands-on experience with data analytics and ETL tools (e.g. Alteryx SAS) business intelligence software (e.g. Tableau Power BI) and Robotic Process Automation (RPA) platforms (e.g. UiPath Automation Anywhere Blue Prism)
• Strong experience with big data technologies MLOps practices and cloud platforms (e.g. AWS Azure Google Cloud).
• Experience managing multiple simultaneous projects and the flow of information across multiple work groups.
• Project management experience highly desired.
• Experience in a regulated industry (e.g. healthcare finance) is highly desirable.

Knowledge:

• Deep expertise in AI/ML fundamentals including machine learning algorithms deep learning natural language processing (NLP) and generative AI (e.g. LLMs).

Skills:

• Ability to prepare and persuasively present clear and concise written communications both in report and presentation formats.
• Ability to make presentations in person clearly and effectively to large and small groups including senior business leadership team and clients.
• Ability to multi-task use analytical skills follow verbal or written instructions think analytically effectively use written and verbal communication skills concentrate on tasks make decisions and adjust to change quickly.

People Leader Responsibility:

• Lead a team of direct and indirect reports

Work Environment:

• Hybrid

Education:

• BS/BA in business computer science or data science (Required)
• Advanced degree (Masters or Ph.D.) in Computer Science Artificial Intelligence Data Science or a related technical field is required. (Preferred)