Director, Innovation Catalyst
Job Description: • Lead a mission-driven Innovation Catalyst team; set the vision, operating rhythms, and talent roadmap to deliver repeatable, high-impact AI outcomes across OpCos • Orchestrate discovery-to-POC cycles with clear success criteria, timelines, and exit/handoff plans so wins move swiftly from concept to scale • Lead weekly Core Team meetings for several in-flight projects, coordinating educational collaborations between Subject Matter Experts and AI Scientists • Guide AI scientists to overcome challenges and roadblocks with creative problem solving and a willingness to get involved in implementation details • Quantify impact up front: model ROI, cost to deliver, risks, value capture, and time-to-value; use these to inform portfolio decisions and sunset low-yield efforts early • Establish lightweight, durable playbooks for data readiness, MLOps, and responsible AI checkpoints that accelerate delivery while meeting enterprise standards • Continuously scan the AI landscape; pilot emerging methods and tools, and uplevel team capabilities so we bring the best of the field to Danaher's toughest problems Requirements: • Advanced degree in Computer Science, Machine Learning, Physics, Applied Math, or a similar quantitative field; PhD preferred • 10+ years of experience in data science, AI, or a closely related technical field with a track record of delivering business-impacting solutions • Experience leading teams and multi-stakeholder initiatives, including portfolio prioritization and execution of AI/analytics work from discovery through handoff to scale • Demonstrated ability to build objective business cases (ROI, cost, risk, value) to guide investment decisions and govern an AI initiative portfolio • Proven end-to-end POC delivery: problem framing, data readiness, model development/validation, measurement, and transition to pilots/production • Strong leadership experience with the ability to build consensus among stakeholders, harmony within cross-functional teams, and inspiration and upleveling of technical teams • Ability to operate in a remote, matrixed environment and travel as needed for key workshops, Gemba walks, or deployments Benefits: • Health insurance • Paid time off • 401(k) matching • Flexible work arrangements • Bonus/incentive pay Apply tot his job