Sr. Analyst, Technology & Project Management (Reproductive Healthcare - Hybrid)

Position Summary

Upstream's Data, Analytics and Technology (DAT) team works cross-functionally to ensure software, hardware, and data function optimally while leading improvement projects that shape the business and promote organizational effectiveness, efficiency, and data-driven decision making. The team also supports Upstream's growing, organization-wide use of AI.

This role exists to expand the team's capacity to deliver. Reporting to the Manager of Data, Analytics, Technology & Security, the Sr. Analyst, Technology & Project Management partners closely with the DAT leadership team and colleagues across Upstream to own and move forward the work that keeps initiatives shipping: project management, data analysis and reporting, and the hands-on execution in between the planning and the doing, and adds a versatile, technically capable partner who can both plan the work and do it.

The ideal candidate is a pragmatic, highly organized, and exceptional communicator who is as comfortable running a stakeholder meeting as building a report or completing a project. They are curious, detail-oriented, and energized by turning ambiguous needs into finished work in a fast-moving, lean environment.

Essential Duties and Responsibilities

Technical Project Management (60%)

• Own end-to-end project management, from intake through delivery, for DAT initiatives on the team's roadmap, including data migrations, IT operations improvements, and the central data-layer buildout.
• Manage scope, timelines, dependencies, and stakeholders using agile/Kanban methods; align people on outcomes, owners, and deadlines, and keep work visible and moving, anticipating blockers and keeping initiatives and the team on track.
• Cultivate cross-departmental relationships and drive projects to completion, bringing a technical skill set that lets you both coordinate the work and contribute to it directly, including by not limited to supporting Upstream's evolving central data warehouse / data-layer strategy.
• Serve as a resource for turning data into decisions across teams.

Automation, Tooling & Process Improvement (25%)

• Build and improve MVP (Minimum Viable Product) workflow automations and solutions that remove manual work across teams, then iterate based on real use and feedback.
• Translate staff pain points and ideas into documented, repeatable, right-sized workflows. Train others so improvements stick and scale.
• Drive initiatives to completion, often coordinating and contributing directly to the work.

Systems, AI Adoption & Operations Support (15%)

• Support software and hardware administration and asset lifecycle management (SaaS apps, laptops, office tech) and coordination with third-party technology vendors.
• Support Upstream's AI adoption efforts with hands-on help on pilots, education and training, documentation, and change management.
• Support selection, implementation, and administration across Upstream's SaaS application stack (Google Workspace, Snowflake, Power BI, Vena, ADP, Greenhouse, and others)
• Help improve and, where possible, automate helpdesk and support functions; monitor and elevate recurring issues, propose, and help implement process enhancements.
• Additional duties as assigned.

Required Education, Experience, Knowledge, Skills, and Abilities

Upstream fosters a mission-oriented workplace and welcomes applicants of all backgrounds. The ideal candidate upholds our mission of accessible, patient-centered contraceptive care, builds trust through empathy and honesty, and contributes to a collaborative culture. They bring enthusiasm to their work, creating opportunities for connection and celebration.

• Exceptional communication and interpersonal skills, including clear writing and confident facilitation. Able to translate between technical and non-technical audiences and build trust with colleagues, vendors, and leadership.
• 4+ years of relevant experience across some combination of project management, data analysis/reporting, and technology/operations.
• Demonstrated project management experience. Able to run multiple projects and incoming requests simultaneously, ideally using agile/Kanban methods and a work-management or ticketing system (Asana, Autotask, etc.).
• Hands-on experience doing data analysis and reporting, building dashboards and reports (Power BI, Google Sheets/Excel) and preparing and transforming data ("ETL-type" work).
• Demonstrates a strong bias toward action and ownership. Comfortable both developing strategy and executing it—delivering an initial solution quickly, then iterating and improving over time.
• Proven ability to learn new systems and processes quickly and to solve ambiguous problems with high attention to detail.
• Comfort with using AI tools and a willingness to experiment and innovate with them to help Upstream accelerate towards achieving our mission.
• AI Fluency & Tool Integration: Ability to identify and leverage generative AI tools (such as LLMs, image generators, or industry-specific copilots) to streamline workflows, automate repetitive tasks, and enhance overall output quality while maintaining the proper human checkpoints.
• AI Prompt Engineering & Critical Output Evaluation: Proficiency in crafting effective prompts to achieve desired outcomes and the critical thinking skills necessary to audit, fact-check, and refine AI-generated content for accuracy and brand alignment.
• Ethical AI Awareness: A foundational understanding of the ethical implications of AI, including data privacy, bias recognition, and the responsible use of company information in third-party AI environments.
• Demonstrates the ability to remain focused, adaptable, and solution-oriented in the face of challenges, setbacks, or ambiguity. Approaches obstacles with a growth mindset and maintains a steady commitment to goals, even under pressure or changing circumstances; resilient.
• While we are a remotely based organization, we maintain an on-camera culture during meetings to support connection, engagement, teaming and collaboration. Must be comfortable and able to participate in this environment

Valued and Non-Essential Education, Experience, Knowledge, Skills, and Ability (Not required to apply)

• Bachelor’s degree in Business, Information Technology, Computer Science, Data/Analytics, Engineering, or a related field, or equivalent work experience; relevant industry certifications are a plus.
• Scripting (Python, Google Apps Script), SQL, or APIs.
• Experience with ETL/ELT pipelines and data-warehouse tooling (e.g., Snowflake, Fivetran) and data validation techniques.
• Familiarity or experience with Salesforce
• Experience building workflow automations, AI agents, and other AI-based solutions.
• Familiarity with SaaS administration and best practices.
• Familiarity with enterprise AI platforms (Gemini, Claude, Cortex, etc.).
• Experience in a healthcare, nonprofit, or other mission-driven setting.
• Awareness of information security and/or HIPAA concepts.

Travel Requirements

This role will require up to 15% business travel. All Upstreamers can expect a minimum of 8 days of business travel per year to attend 1 annual organizational retreat and 1 or 2 annual team/department meetings.