The Rockefeller Foundation is seeking a Director with experience in data product management to join its Data Science Team.
This is a hands-on, technical management role, and your goal will be to lead a team including data scientists, to work with colleagues across the organization to shape, develop and deliver technical data products and solutions such as data visualizations to help them achieve their objectives.
The right person for the job will be a confident communicator with well-developed consulting skills, and apply their knowledge of product management to drive the roadmap for our data science team. This role needs to be able to understand the end-to-end implementation of different data science projects starting with consulting, design and data creation and curation, and ending with deployment, scaling, marketing and support.
Location: New York, NY
Principal Duties and Responsibilities
You will be part of The Rockefeller Foundation’s Data and Technology team. Your main responsibilities will include:
- Manage the data science team: Leading and mentoring a team of both experienced and junior data scientists, enabling the team to do their best work, ensure projects are clearly scoped, managed and resourced. Anticipate and address challenges, document and communicate plans and progress across the organization.
- Develop and deliver technical products: Owning and running the full product lifecycle from ideation to “end of life”. Joining and representing the team in meetings with internal and external stakeholders, presenting product roadmaps, running regular product review and demo meetings, and working closely with the team to ensure timely execution and delivery.
- Client consulting and relationship management: Partnering with non-technical stakeholders to turn often vague problems and questions into clear plans for crisp analytical projects and data science products. These clients include internal stakeholders, primarily our initiative teams, but also important external partners with whom we want to collaborate.
- Portfolio management: Prioritizing projects and incoming requests, ensuring both focus and time on our most important projects while maintaining the ability to be responsive to time-sensitive opportunities. Ensure lessons and best practices are captured and implemented in the spirit of continuous improvement.
Education, Experience and Skills
- BA degree in a quantitative discipline, such as computer science, statistics, mathematics, software engineering, economics or similar.
- At least 5 years of professional experience working in a technical project or product manager role, with staff supervision responsibilities, in an institutional setting such as a consulting firm, technology company or research organization. Generally expected to have 10 plus years of relevant experience.
- Experience with projects in the social sector an advantage.
Qualifications and Competencies
- Product management: At least 5 years’ experience as a product or project manager working on data-driven products or platforms. Solid understanding of how to scope, design, build, ship and maintain products. Experience managing a variety of data science projects from conception to completion. The ability to prioritize, iterate and deliver valuable results quickly.
- Consulting and client relationship management: Experience developing and maintaining effective client relationships. Able to analyze problems through a technical and business lens, and provide clear advice to non-technical audience. Capable of working with minimum supervision and demonstrate good analytical judgement, business sense, and client relationship management.
- Data science: A deep, practical understanding of statistics and the ability to apply a variety of statistical concepts and machine learning techniques to real world analytical problems, understanding their advantages and drawbacks. Hands on ability to work with any of R, Python, SQL or Tableau an advantage.
- Communications, writing and training: Demonstrated ability to write well and communicate clearly. Able to effectively share knowledge and train others to develop their data literacy skills and understanding of the data science process. A proven ability to learn continuously and independently in order to keep skills at the forefront of current practice.
The Rockefeller Foundation is committed to the principles of equal employment opportunity and to compliance with all federal, state, and local laws concerning employment discrimination, including the Americans with Disabilities Act. To this end, the Foundation ensures equal opportunity to all employees and applicants regardless of race, color, age, gender, sexual orientation, religion, marital status, national origin or ancestry, citizenship, lawful alien status, physical, mental, and medical disability, veteran status or liability for service in the United States Armed Forces.
The Rockefeller Foundation is an Equal Opportunity Employer.[ssba]