Databricks Project Manager

Stitch Consulting Services, Inc.

5d•Hybrid

About The Position

Stitch is a global leader in helping brands drive CRM performance through Braze and Databricks. We work with Fortune 1000 brands to design and execute martech-driven solutions and lifecycle marketing strategies that drive meaningful outcomes. Our fast-growing team spans the US, UK, and Canada. We’re actively building the best customer relationship marketing (CRM) consultancy in the world. Not the biggest—the best. We’re looking for teammates who are energized by this challenge.

Requirements

5–9 years of project management consulting experience or applicable experience.
2–5 years of Databricks or data platform consulting experience or applicable experience (e.g., Databricks, Snowflake, Salesforce Marketing Cloud, Adobe, Oracle) preferred.
Demonstrated experience managing budgets, vendors, and cross-functional teams.
Client-facing experience within an agency or consultancy required.
Knowledge of AI code editors (e.g., Cursor) and data integration platforms (e.g., Snowflake, Databricks) is required.
Must be eligible to work in the United States, Canada, or United Kingdom without visa sponsorship.

Nice To Haves

PM certifications (PMP, SAFe, Scrum Master, or equivalent) are a plus.
Databricks certifications (e.g., Databricks Certified Data Engineer Associate, Lakehouse Fundamentals) are a strong plus.

Responsibilities

Own integrated project plans: scope, schedule, cost, dependencies. Manage critical path and scenario planning across Databricks implementation workstreams.
Own budgets and forecasts. Track burn, perform variance analysis, re-baseline when needed. Support SOW and change management.
Own risk mitigation and issue resolution. Write risks with cause → event → impact. Document mitigation vs. contingency, with particular attention to data migration, pipeline, and platform-architecture risk.
Own change control. Write change requests that clearly justify scope, cost, and timeline impact.
Select and tailor Stitch’s SEW delivery methodology based on project context, client data maturity, and team capability.
Design project dashboards and automated reporting. Produce executive updates that surface risk, not just activity.
Manage cross-team dependencies and vendor delivery, including coordination between data engineering, platform, and marketing teams. Enforce governance at the project level.
Write for multiple audiences: executive summaries, decision memos, steering committee decks, detailed delivery plans.
Mentor and provide feedback for Project Managers.
Manage your time to meet billable targets of 36+ hours per week.
Travel up to 20% for client meetings, workshops, and onsite engagements.