Senior Manager, Data and Analytics - Remote in the Boston Area Desirable or in US (Reproductive Healthcare)
Upstream USAAbout the role
Organizational Summary
Contraceptive care is basic health care. Yet too many patients in the U.S. struggle to access the care they want, when they want it.
A national nonprofit founded in 2014, Upstream USA partners with healthcare organizations to provide free training, education, and technical assistance to improve their contraceptive services and meet their patients’ needs – at no cost to them. Over ten years, we’ve supported 200+ healthcare partners (including primary care practices, federally qualified health centers, health systems, and more) with a transformative approach that empowers patients to access the contraceptive care where they already receive most of their healthcare. We’re on a path to partnering with health care organizations that collectively serve 5 million patients by 2030.
We do not accept funding from pharmaceutical companies or the government. Our work is made possible by generous support from venture philanthropy. That privilege comes with high expectations about growth and scale and a focus on measurable outcomes and impact.
We’re a 2023 Audacious Project recipient that continues to garner attention from many leading publications, including Harvard Public Health, Bloomberg, MedPage Today, Baltimore Sun, the Fresno Bee, and WBUR. We welcome individuals interested in career opportunities, partnerships, or philanthropic endeavors seeking additional information to visit our website (www.upstream.org) or email us at info@upstream.org.
Position Summary
Upstream’s Data, Analytics and Technology Team works cross-functionally to ensure internal and external tools function optimally while leading improvement projects that shape the business and promote organizational effectiveness, efficiency and data-driven decision making.
Reporting to the Director of Data, Analytics, and Technology, the Senior Manager of Data and Analytics is responsible for managing the strategy and implementation of data solutions (architecture, pipelines, models, and governance) to support Upstream’s efforts in using data and analytics to enable data-driven decisions and efficiencies. They will be a hands-on player-coach who implements patterns and best practices for data modeling and operations (data ops) across Upstream’s data platforms, driving projects to success while mentoring others and maintaining high quality standards. The ideal candidate will have an affinity for solving business problems through innovative approaches, and will be able to keep an eye on the bigger picture while creating and managing data solutions.
Essential Duties and Responsibilities
- Manage and implement Upstream’s vision for data management, including development, maintenance, and management of priorities and a roadmap for evolving our data stack, talent, and practices; maintain a balance between accessibility for data developers/consumers, administrative complexity, and costs for a scaling nonprofit organization.
- Assist and provide thought partnership to the Director of Data, Analytics, and Technology in developing, managing and prioritizing Upstream’s overall data, analytics and technology budget, architecture and roadmap including data governance, new data integrations, and software selections, and AI capabilities.
- Manage Upstream’s data architecture, using data integration methods to create a definitive single source of truth for data, feeding reports and other analytics solutions.
- Manage and implement Upstream’s data strategy, governance, policies, and procedures including organization wide data definitions, dimensions, metrics, databases and refresh schedules. Ensure quality of master data in key systems, as well as, development and documentation of processes, in collaboration with other functional data owners to support ongoing maintenance and data integrity.
- Optimize end user experience with Upstream’s technology stack by defining user personas and recommending/implementing approaches to serve data and analytics solutions to different personas given their skills, needs, and priorities.
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