Senior Databricks Project Manager

Stitch Consulting Services, Inc.

4d•Hybrid

About The Position

As a Senior Databricks Project Manager, you are the first project management hire dedicated to Stitch’s Databricks team. You own integrated project plans, budgets, risk mitigation, and change control for medium to large data and IT engagements. You operate as a project owner, not just a project manager. You understand why the work matters, and you use that to get buy-in, influence timelines, and move client IT teams past their defaults. You select and tailor methodology (Agile, Waterfall, Hybrid) based on what the project needs. You manage vendor and client IT delivery, enforce governance, present risks and options to client leadership, and write for multiple audiences— executive summaries, decision memos, steering committee decks. You help set the standard for how Stitch delivers Databricks engagements through your own execution.

Requirements

PM tool mastery: setup, reporting, and hygiene in ClickUp, MS Project, Smartsheet, Jira, or equivalent.
Agile, Waterfall, and Hybrid—select and tailor per project.
Budget ownership: forecasting, variance analysis, EAC, burn tracking.
RAID ownership: proactive risk modeling, mitigation planning, and structured issue surfacing.
Change control: scope boundaries, requirements traceability, assumption documentation.
IT and data domain knowledge: 2–5 years delivering data platform, data integration, or enterprise IT projects (e.g., Databricks, Snowflake, cloud data warehouses, data pipelines).
Experience implementing or driving net new solutions on the IT side of client ecosystems: you’ve led or co-led at least one full-lifecycle implementation (discovery through launch).
Proven ability to influence IT teams: getting buy-in, shifting timelines, and changing decisions without direct authority.
Passion for leveraging AI to help drive more efficient documentation (e.g., Gemini, Claude).
Documentation mastery: project charters, integrated plans, dependency maps, risk registers, go/no-go briefs, closure reports.
Governance: stage gates, compliance checklists, audit logs, PMO standards.
5–9 years of project management consulting experience or applicable experience.
2–5 years of IT or data consulting experience or applicable experience (e.g., Databricks, Snowflake, data engineering, cloud data platforms, enterprise IT implementations).
Client-facing experience within an agency or consultancy required.
Must be eligible to work in the United States without visa sponsorship.

Nice To Haves

Consulting or agency background preferred.
Marketing technology familiarity (e.g., Braze, Salesforce Marketing Cloud, Adobe, Oracle) is a plus.
PM certifications (PMP, SAFe, Scrum Master, or equivalent) are a plus.
Knowledge of AI code editors (e.g., Cursor) is a plus.

Responsibilities

Own integrated project plans: scope, schedule, cost, dependencies. Manage critical path and scenario planning.
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.
Own change control. Write change requests that clearly justify scope, cost, and timeline impact.
Drive buy-in across client IT, data, and business stakeholders. Build the case for decisions and keep work moving through slow approval and intake processes.
Influence timelines and challenge IT defaults. Push client IT teams toward the right solution, not just the easiest one.
Select and tailor Stitch’s SEW delivery methodology based on project context, client maturity, and team capability.
Design project dashboards and automated reporting. Produce executive updates that surface risk, not just activity.
Manage cross-team dependencies across client IT, data engineering, security, and vendors. Enforce governance at the project level.
Write for multiple audiences: executive summaries, decision memos, steering committee decks, detailed delivery plans.
Partner with Databricks practice leadership to define and build repeatable PM standards for the Databricks team.
Manage your time to meet billable targets of 36+ hours per week.
Travel up to 20% for client meetings, workshops, and onsite engagements.