
1001 - 5000 employees
Founded 1900
📚 Education
🤝 Non-profit
Education • Non-profit
The College Board is a mission-driven, not-for-profit organization dedicated to promoting excellence and equity in education. It connects students to college success and opportunity by supporting them in building essential skills for higher education and removing barriers to access. The College Board operates with a focus on respect, diversity, inclusion, and collaboration, with a diverse and dedicated team of professionals. Based in several locations across the United States, they strive to modernize operations and increase their digital footprint, supporting students and families nationwide.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $120 - $170 / hour
⏰ Full Time
🟠 Senior
🔴 Lead
📊 Data Scientist
👻 Ghost score 0%
Where this job comes from
Posted on The College Board's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

1001 - 5000 employees
Founded 1900
📚 Education
🤝 Non-profit
Education • Non-profit
The College Board is a mission-driven, not-for-profit organization dedicated to promoting excellence and equity in education. It connects students to college success and opportunity by supporting them in building essential skills for higher education and removing barriers to access. The College Board operates with a focus on respect, diversity, inclusion, and collaboration, with a diverse and dedicated team of professionals. Based in several locations across the United States, they strive to modernize operations and increase their digital footprint, supporting students and families nationwide.
• Establish operating rhythms for planning, status, decision-making, risk review, and retrospectives • Drive alignment across data science, engineering, and product stakeholders • Identify delivery, data, model, compliance, and resourcing risks; drive mitigation and escalation • Track program health and outcomes using meaningful measures • Maintain roadmaps, dependency maps, decision logs, risk registers, and executive-ready updates • Coordinate work across data science, research, product, engineering, analytics, privacy, legal, security, and business teams • Build executable plans from ambiguous goals and align scope, responsibilities, milestones, dependencies, and acceptance criteria • Facilitate decisions and resolve blockers • Manage handoffs from research and prototyping through production delivery, adoption, and operational ownership • Translate Data Science strategy and business priorities into a portfolio of programs, workstreams, milestones, and measurable outcomes • Own integrated roadmaps and planning processes from experimentation through deployment • Lead intake and prioritization with Data Science leaders • Establish readiness criteria covering data access, legal and privacy review, business ownership, and success measures • Define program success measures, ownership, decision rights, and escalation paths • Build stakeholder alignment and adoption through clear communication and feedback loops • Prepare recommendations and decision materials for leaders • Partner with Data Science leadership on capacity planning, team growth, role clarity, and sustainable delivery practices • Improve prioritization, documentation, reuse, knowledge sharing, and continuous improvement across programs • Support an inclusive and accountable team environment
• 8 or more years of experience leading complex programs or portfolios in data science, analytics, machine learning, software, research, or another technical environment • Record of delivering cross-functional programs from initial problem framing through implementation, adoption, and measurement • Familiarity with, or ability to quickly build working knowledge of, the data science lifecycle, including data readiness, experimentation, model development and validation, deployment, monitoring, and iteration • Ability to translate ambiguous goals into clear plans, milestones, ownership, dependencies, risks, and decisions • Sound portfolio and prioritization practices • Ability to identify and manage cross-team dependencies and drive resolution across teams not directly managed • Clear communication with executives, technical teams, researchers, and business partners; ability to explain technical tradeoffs, uncertainty, and data or model limitations in plain language • Familiarity with data quality, privacy, governance, security, and responsible AI considerations • Effective use of program management and collaboration tools; adaptability to agile, iterative, or stage-gated practices • Strong judgment, curiosity, accountability, inclusive collaboration, and continuous learning • Passion for expanding educational and career opportunities and mission-driven work • Curiosity and enthusiasm for emerging technologies, willingness to experiment with and adopt AI-driven solutions, and comfort learning new digital tools independently • Clear and concise written and verbal communication skills • Learner's mindset and commitment to growth • Drive for impact and excellence • Collaborative and empathetic approach • Ability to travel 3 to 5 times per year to New York City or Reston, Virginia • Authorized to work in the United States
• Meaningful career • Supportive team • Comprehensive package designed to help you thrive • Fair and competitive compensation • Location-adjusted salaries for fairness • Transparent conversations about compensation and benefits throughout the hiring process
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