Director, Technical Program Management

Here's how you will contribute:

• Lead and mentor a team of TPMs, setting clear goals, driving professional development, and establishing best practices for technical program management.

• Manage and scale the delivery of platform capabilities, collaborating with scientists, engineers, and cross-functional teams to define roadmaps, priorities, and scope.

• Serve as a strategic thought partner to team leads, ensuring alignment between scientific objectives, engineering initiatives, and overall business goals.

• Drive end-to-end platform development project planning and delivery, using knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, etc.

• Navigate an ambiguous and changeable environment to track progress against goals, and anticipate and propose solutions to issues and risks

• Develop and manage stakeholder communications, including reporting and metrics

• Evaluate and improve ways of working, tools or processes for efficiency, repeatability and sustainability

• Foster a culture of collaboration and continuous improvement, facilitating brainstorming sessions, surfacing key themes, and streamlining complex problem-solving.

The Ideal Candidate will have:

• Proven experience leading and mentoring diverse TPM teams, preferably in fast-paced, high-growth environments.

• Extensive program management experience in Tech (AI/ML preferred) or TechBio with a strong track record of driving research and engineering initiatives to successful completion.

• Deep expertise in delivery of a technical platform or product, including managing dependencies across scientific, engineering, and business functions.

• Strong strategic and operational mindset, with the ability to define and drive complex programs while aligning stakeholders across multiple disciplines.

• Exceptional communication and leadership skills, with the ability to influence across all levels of an organization.

• Demonstrated ability to foster an inclusive and high-trust environment, building relationships with diverse stakeholders.

• Proactive ability to learn and acquire domain knowledge, ensuring effective partnership with ML, engineering, and scientific teams.

• Advanced degree required (PhD or Masters) in computational sciences, applied mathematics, life sciences, or a related field.

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