Project Manager / Scrum Master (Data & Databricks)
Job Description
Project Manager / Scrum Master (Data & Databricks) – Enterprise Client
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Location: Onsite 3 days/week
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Type: Long Term, Multi-year Contract
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Our enterprise client is seeking an experienced Project Manager / Scrum Master with strong data platform knowledge and hands‑on experience supporting teams working in Databricks, Teradata, and modern data environments. This role supports a high‑visibility program within the ITSMO organization and requires exceptional communication, leadership, and delivery management skills.
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Role Overview
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The PM/Scrum Master will drive delivery across multiple data engineering and data governance workstreams, ensuring alignment with program objectives, executive expectations, and Agile best practices. This role is responsible for facilitating Scrum ceremonies, maintaining story hygiene, managing risks and blockers, and ensuring consistent reporting across teams.
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You will partner closely with Process Owners, Product Owners, and leadership to support PI Planning, coordinate demos, and maintain standardized Agile/Jira practices across the program.
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Key Responsibilities
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Project & Program Delivery
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- Provide clear, concise status updates for executive and leadership reporting.
- Own project‑level risks, issues, and blockers; ensure timely escalation and resolution.
- Maintain accountability for scope, cost, schedule, and quality across assigned workstreams.
- Develop project plans, drive milestones, and ensure effective change management throughout the project lifecycle.
- Establish and maintain communication plans with project teams and key stakeholders.
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Scrum & Agile Leadership
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- Facilitate all Scrum ceremonies: Sprint Planning, Daily Standups, Sprint Reviews, Story Refinement/Backlog Grooming, and Retrospectives.
- Keep teams organized, focused, and aligned with priorities and PI commitments.
- Support Product/Process Owners in backlog organization, prioritization, and PI Planning readiness.
- Ensure stories are updated to reflect accurate status and meet PMO/Program Management standards.
- Provide program‑level guidance on Agile/Jira frameworks, identify gaps, and drive consistency across ITSMO Scrum teams.
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Data Platform Workflow Awareness
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- Understand Databricks workflows (notebooks, jobs, pipelines) to effectively manage delivery, identify blockers, and communicate progress.
- Coordinate with data engineering teams to ensure dependencies, data quality checks, and deployment steps are properly tracked.
- Support teams in preparing content for Program Increment (PI) demos.
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Tools & Documentation
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- Build and maintain Jira boards, dashboards, and reporting views.
- Prepare documentation, daily standups summaries, status reports, and time accounting.
- Utilize Visio, Excel, and other tools to support project planning and communication.
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Required Skills & Experience
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- 5–10+ years of Project Management and Scrum Master experience in enterprise environments.
- Strong background in data platforms, data engineering workflows, or data governance.
- Experience supporting teams working in Databricks, Teradata, or similar data ecosystems.
- Deep knowledge of Agile/Scrum, Jira, and enterprise delivery frameworks.
- Exceptional communication, stakeholder management, and executive‑level reporting skills.
- Strong analytical, problem‑solving, and decision‑making abilities.
- Ability to manage multiple teams, dependencies, and complex technical delivery.
- Certified Scrum Master (CSM) required.
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Preferred Qualifications
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- Experience with Program Increment (PI) Planning and Agile at scale (SAFe or similar).
- Background in Data Science or Data Governance.
- Experience in large, matrixed enterprise environments.
- Ability to translate technical concepts into clear business‑level updates.
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Why This Role Matters
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This PM/Scrum Master will play a critical role in ensuring alignment between leadership priorities and delivery teams, driving consistency across Agile practices, and supporting a major data modernization initiative. It’s an opportunity to influence program‑level standards while supporting high‑impact data engineering work.