Program Manager, Data Science Core – GenAI Studio

This is a fully remote position, open to applicants in United States.

📋 Description

• Create operating rhythms for planning, status updates, decision-making, risk assessments, and retrospectives.

• Foster alignment among data science, engineering, and product stakeholders.

• Recognize delivery, data, model, compliance, and resourcing risks; facilitate mitigation and escalation strategies.

• Monitor program health and outcomes through meaningful metrics.

• Maintain comprehensive roadmaps, dependency maps, decision logs, risk registers, and executive-ready updates.

• Coordinate efforts across data science, research, product, engineering, analytics, privacy, legal, security, and business teams.

• Develop actionable plans from vague objectives, aligning scope, responsibilities, milestones, dependencies, and acceptance criteria.

• Facilitate decision-making processes and resolve obstacles.

• Oversee transitions from research and prototyping to production delivery, adoption, and operational ownership.

• Convert Data Science strategies and business priorities into a structured portfolio of programs, workstreams, milestones, and measurable outcomes.

• Manage integrated roadmaps and planning processes from experimentation to deployment.

• Lead the intake and prioritization process with Data Science leaders.

• Set readiness criteria that encompass data access, legal and privacy reviews, business ownership, and success metrics.

• Define success measures for programs, including ownership, decision rights, and escalation pathways.

• Cultivate stakeholder alignment and engagement through effective communication and feedback mechanisms.

• Prepare recommendations and decision materials for executive leaders.

• Collaborate with Data Science leadership on capacity planning, team development, role clarity, and sustainable delivery practices.

• Enhance prioritization, documentation, reuse, knowledge sharing, and continuous improvement across all programs.

• Promote an inclusive and accountable team culture.

⛳️ Requirements

• 8 or more years of experience managing complex programs or portfolios in data science, analytics, machine learning, software, research, or a similar technical field.

• Proven track record of delivering cross-functional programs from initial problem identification through to implementation, adoption, and evaluation.

• Familiarity with, or the ability to quickly acquire knowledge of, the data science lifecycle, including data readiness, experimentation, model development and validation, deployment, monitoring, and iteration.

• Capability to convert vague goals into precise plans, milestones, ownership definitions, dependencies, risks, and decisions.

• Strong practices in portfolio management and prioritization.

• Ability to identify and manage dependencies across teams and drive resolution in areas not directly supervised.

• Excellent communication skills with executives, technical teams, researchers, and business partners; capable of articulating technical trade-offs, uncertainties, and data or model limitations in layman's terms.

• Understanding of data quality, privacy, governance, security, and responsible AI considerations.

• Proficient in using program management and collaboration tools; adaptable to agile, iterative, or stage-gated methodologies.

• Strong judgment, curiosity, accountability, collaborative spirit, and commitment to continuous learning.

• Passion for enhancing educational and career opportunities through mission-driven initiatives.

• Eagerness to explore emerging technologies, willingness to experiment with and adopt AI-driven solutions, and ability to learn new digital tools independently.

• Strong written and verbal communication abilities.

• Growth-oriented mindset and commitment to personal development.

• Drive for impactful and excellent outcomes.

• Collaborative and empathetic working style.

• Willingness to travel 3 to 5 times annually to New York City or Reston, Virginia.

• Authorized to work in the United States.

🏝️ Benefits

• Meaningful career opportunities.

• Supportive team environment.

• Comprehensive package designed to support your well-being.

• Fair and competitive compensation structure.

• Location-adjusted salaries to ensure fairness.

• Open discussions about compensation and benefits throughout the hiring process.