AI Solution Consulting Lead

danafarber; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

Dana-Farber Cancer Institute is seeking an AI Solution Consulting Lead to drive the AI solution roadmap within the Boston area. You will manage project intake, prototyping, and sprint planning, aligning AI initiatives with clinical and operational goals.

In this role, you will bridge data science and clinical stakeholders, translate requirements into actionable designs, and lead cross-functional teams while ensuring responsible AI governance and safety practices.

Qualifications

• 2+ years leading AI projects (incl. Generative AI).
• 2+ years healthcare domain experience.
• 1+ year consulting experience.
• Experience with data, analytics, and AI at scale.
• Strong ability to translate complex needs to technical designs.
• Excellent communication to non-technical stakeholders.

Responsibilities

• 1) Drive Day-to-Day Execution: manage AI project intake, prototyping, and kickoff with agile adaptation.
• 2) Translate requirements: convert clinical/workflow goals into clear technical requirements and explain limitations.
• 3) Lead cross-functional teams (data scientists, AI/ML engineers, UX designers, informaticists).
• 4) Ensure AI safety, governance, and alignment with mission.

Skills

AI leadership

Healthcare exp

Consulting

Data analytics

Stakeholder comms

Education

Master's degree

Tools

Generative AI tools

Job description

This is a non-recruit Contract position for AI Solution Consulting Lead reporting to the Associate Director, Solution Consulting Analytics and AI Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

1. Product Delivery & Roadmap Execution

• Drive Day-to-Day Execution: Manage AI and advanced analytics project intake, design, prototyping, and kickoff, ensuring agile adaptation to rapid industry advancements and stakeholder needs.
• Operationalize the Roadmap: Collaborate with Data and Analytics Solutions (DAS) leadership to translate the overarching strategic AI roadmap into actionable sprints, tracking milestones, managing risks, and removing blockers for the technical teams.
• Measure Impact: Define and monitor key performance indicators for AI solution adoption and effectiveness, reporting on ROI and clinical impact to senior leadership.

2. Stakeholder Engagement & "Translation"

• Act as Primary Liaison: Serve as the day-to-day bridge between data science/engineering teams and DFCI's clinical and operations stakeholders.
• Translate Requirements: Convert complex clinical and operational workflow goals into clear technical requirements, and conversely, explain technical limitations or capabilities in plain language to non-technical audiences.
• Champion User Experience: Ensure AI tools are designed with the end-user in mind, prioritizing intuitive interfaces and seamless integration into existing operational, clinical, and research workflows.

3. Cross-Functional Team Leadership

• Lead the Matrix: Guide cross-functional teams-including data scientists, AI/ML engineers, UX designers, and clinical informaticists-toward shared project goals without necessarily having direct administrative authority over them.
• Facilitate Strategic Consulting: Partner with stakeholders to assess their AI needs, recommending appropriate AI solutions that align with the department's strategic vision.

4. AI Safety, Governance, & Mission Alignment

• Ensure AI Safety Guide a thoughtful path ahead for new projects by ensuring that responsible AI and governance considerations are proactively identified and woven into the approach for solution design, build, and deployment.
• Promote Safe Adoption: Develop and lead training initiatives or change-management protocols through the AI Solutions Playbook, I&A AI Summit, ED&A Labs, Skills, and other training opportunities.

Key Requirements

• AI Project Leadership : Minimum 2 years work experience leading AI projects (including Generative AI)
• Health Care Experience : Minimum 2 years experience in a relevant healthcare domain
• Consulting Experience : Minimum 1 year work experience in management consulting
• Technical Acumen : Experience working with data, analytics, and AI at scale
• Applied Problem Solving : Demonstrated ability to convert ambiguous stakeholder problems and requests into working AI prototypes and actional technical designs
• Communication : Exceptional translation skills, with the ability to clearly articulate technical concepts to non-technical business and clinical leaders.

Preferred Credentials

• Oncology Experience : Subspecialty oncology experience is a plus.
• Education : Master's degree preferred in Data Science, Health Policy / Management / Administration, Business Administration, or a related quantitative field.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

EEO Poster

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determin