Director, AI & Data Transformation - Workforce Health Solutions

Director, AI & Data Transformation - Workforce Health Solutions Lenexa, KS Job Details Full-time 1 day ago Qualifications Resource allocation Managerial strategic planning Power BI Strategic management Data visualization software proficiency Azure Computer Science Automation SAS Bachelor of Science Bachelor's degree in business Alteryx Big data systems Google Cloud Platform Scalable systems Improving operational efficiency Tableau ROI 3 years Master's degree Change management SQL Doctoral degree in Computer Science Team development Hiring Technical solutions implementation Key Performance Indicators AWS Analysis skills Bachelor's degree Doctor of Philosophy Model deployment Team management Deep learning Mentoring Natural language processing Recruiting Scalability Presentation creation Master's degree in computer science Productivity software Data analytics tools Lean management Senior level AI Business Bachelor's degree in computer science Project leadership Leadership Prototypes Communication skills Project stakeholder communication MLOps Generative AI Bachelor's degree in data science Data Science Senior leadership Database software proficiency Full Job Description The Director, AI & 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. Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.

Equal Opportunity Employer:

Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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 projects—from 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 Work Experience:

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 (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or a related technical field is required. (Preferred)