Project Manager - Data

At CSpring, we believe in the power of data to drive decisions and real-world impact. We’re a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.

We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.

Why You’ll Love Working Here

Purposeful Projects

– Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.

People-First Culture

– We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.

Strategic, Hands-On Work

– From data architecture and documentation to client workshops and solution delivery, you’ll influence every step of the process.

Collaborative Trust

– Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

You will lead IT and data delivery projects from kickoff through closeout, keeping scope, schedule, budget, and stakeholders aligned the entire way.

• Own the full project lifecycle for or more IT/data initiatives — planning, execution, monitoring, and closeout — including charter, schedule, budget, and risk register.
• Build and maintain detailed project plans with clear milestones, dependencies, and critical path, and keep them current as reality shifts.
• Serve as the primary point of contact for client stakeholders, running status meetings, steering committee updates, and executive briefings.
• Translate technical work — data pipelines, integrations, migrations, reporting builds — into plain language for non-technical stakeholders, and translate business needs back into requirements the team can act on.
• Coordinate cross-functional teams including data engineers, analysts, architects, QA, and business subject matter experts.
• Identify, log, and actively manage risks and issues, escalating early with a recommended path forward rather than just a problem statement.
• Manage scope and change control, documenting requests, assessing impact, and securing approvals before work begins.
• Track budget, burn rate, and resource allocation, and flag variances before they become surprises.
• Facilitate agile ceremonies or hybrid delivery rituals — sprint planning, standups, retrospectives — and adapt the approach to what the client environment can actually sustain.
• Produce clear, consistent project documentation and status reporting that a stakeholder can pick up cold and understand.