This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Project Manager, Scrum Master based in the United States.
The Senior Project Manager, Scrum Master will lead the successful delivery of enterprise data platform, analytics, and business intelligence initiatives within a dynamic technology environment. In this role, you will combine strategic project management with hands-on Agile leadership, guiding cross-functional teams through the entire project lifecycle, from initial discovery and planning to deployment and operational handover. You will work closely with data engineers, architects, analysts, product owners, and business stakeholders to ensure priorities are aligned and delivery remains on track. Your responsibilities will include facilitating Agile ceremonies, managing dependencies, removing obstacles, and maintaining transparency across multiple concurrent initiatives. You will also oversee project governance, testing, release readiness, and stakeholder communication while promoting continuous improvement. This is an excellent opportunity for an experienced technology delivery professional who can translate complex technical requirements into structured execution and measurable business outcomes.
Accountabilities
- End-to-End Project and Program Management: Lead the delivery of enterprise data platform, integration, analytics, and reporting initiatives from initial intake and discovery through requirements definition, design, development, quality assurance, user acceptance testing, production deployment, and operational transition.
- Manage multiple concurrent projects, ensuring delivery timelines, milestones, resources, scope, and business objectives remain aligned throughout the project lifecycle.
- Develop and maintain comprehensive project documentation, including integrated project plans, roadmaps, milestone trackers, RAID logs, RACI matrices, stakeholder registers, decision logs, status reports, test plans, deployment checklists, and lessons learned.
- Agile Leadership and Scrum Facilitation: Serve as the Scrum Master and Agile delivery lead for data platform teams, promoting effective Agile practices and continuously improving delivery quality, velocity, and predictability.
- Facilitate Agile ceremonies, including backlog refinement, sprint planning, daily standups, technical design reviews, sprint demonstrations, retrospectives, and release-readiness meetings.
- Partner with product owners and business stakeholders to define priorities, clarify requirements, establish acceptance criteria, sequence dependencies, and maintain a structured and actionable backlog.
- Collaborate with data engineers and technical leads to estimate user stories, assess sprint capacity, monitor progress, identify blockers, and ensure commitments reflect available resources.
- Proactively remove impediments, resolve delivery challenges, and encourage accountability and collaboration across technical teams.
- Data Platform and Technical Delivery Coordination: Coordinate the delivery of cloud-based data platform capabilities, including data ingestion, API and file-based integrations, ETL/ELT pipelines, data transformations, master data management, data quality, governance, semantic models, and Power BI reporting.
- Work closely with data engineering, application development, enterprise architecture, security, infrastructure, business intelligence, and vendor teams to manage technical dependencies and ensure coordinated execution.
- Maintain sufficient technical understanding of data pipelines, integrations, databases, cloud platforms, and system dependencies to identify delivery risks and support informed decision-making.
- Quality Assurance and Release Management: Coordinate structured QA and user acceptance testing activities, including test planning, business tester readiness, defect tracking, evidence collection, issue resolution, and stakeholder sign-off.
- Ensure production releases comply with established change-management and deployment-governance requirements, including approvals, documentation, testing evidence, communications, and transition-to-support procedures.
- Coordinate release readiness across technical teams and business stakeholders to minimize operational risks and ensure successful deployment.
- Risk Management and Stakeholder Communication: Identify project risks, resource constraints, scope changes, technical dependencies, and critical decisions early, driving resolution and escalating issues when necessary.
- Provide clear, concise, and audience-appropriate progress updates to project teams, business stakeholders, technology leadership, and executive sponsors.
- Promote consistent use of Jira and Confluence for backlog management, user stories, acceptance criteria, sprint tracking, project decisions, documentation, and delivery transparency.
- Contribute to the continuous improvement of project management and data-delivery practices, balancing governance and accountability with practical, outcome-focused execution.
Requirements
- At least seven years of project or program management experience delivering enterprise technology initiatives, including significant experience with data platforms, analytics, business intelligence, integrations, or cloud-based systems.
- Demonstrated experience working as an Agile Scrum Master or Agile Project Manager for data engineering, software development, analytics, or systems integration teams.
- Strong practical knowledge of Scrum and Agile methodologies, including backlog management, user stories, acceptance criteria, estimation, sprint planning, daily standups, sprint reviews, retrospectives, velocity tracking, and impediment removal.
- Experience managing technology initiatives involving data ingestion, ETL/ELT pipelines, APIs or web services, relational databases, data warehouses, data lakehouses, master data management, data quality, and reporting solutions.
- Proven experience coordinating quality assurance, user acceptance testing, change control, deployment readiness, production releases, and operational handovers.
- Advanced project planning, organizational, risk management, dependency management, and stakeholder coordination capabilities.
- Experience managing external vendors, consultants, distributed teams, and offshore development partners.
- Strong communication and interpersonal skills, with the ability to translate business objectives into technical delivery requirements and explain complex technical topics clearly to senior management.
- Excellent problem-solving abilities, with the capacity to bring structure to ambiguity, manage evolving priorities, and maintain delivery momentum across multiple initiatives.
- Proficiency with Jira and Confluence, with familiarity with additional project planning, collaboration, and reporting tools.
- Sufficient technical fluency to understand data architecture, integrations, cloud environments, development dependencies, and release risks without being required to perform hands-on data engineering.
- Preferred qualifications: Experience delivering projects using Databricks, AWS, Microsoft Azure, Microsoft Fabric, Power BI, or comparable modern data and analytics platforms.
- Familiarity with medallion or layered data architectures, data lakehouse patterns, semantic models, customer or audience data, master data management, and enterprise data governance.
- Experience managing data platform initiatives within a publicly traded organization, private equity portfolio company, media or events business, or another complex and highly regulated environment.
- Professional certifications such as Project Management Professional (PMP), Certified ScrumMaster (CSM), Professional Scrum Master (PSM), PMI Agile Certified Practitioner (PMI-ACP), SAFe Scrum Master, or equivalent credentials are advantageous.
- Experience supporting mergers and acquisitions (M&A) data integration, platform consolidation, or enterprise-wide transformation initiatives is a plus.
- Strong ownership, adaptability, and leadership skills, with the ability to influence cross-functional teams without relying on formal authority and maintain a focus on business value, delivery outcomes, and team performance.
Benefits
- Salary: Annual base compensation ranging from $130,000 to $140,000, plus a performance-based bonus. Final compensation may vary depending on qualifications, experience, and applicable legal requirements.
- Work arrangement: Remote position within the United States, with flexible working locations.
- Paid time off: Unlimited vacation policy for eligible exempt employees.
- Healthcare coverage: Comprehensive medical, dental, and vision insurance.
- Inclusive healthcare: Benefits include transgender healthcare services and fertility support.
- Retirement savings: 401(k) retirement plan with employer matching contributions.
- Family support: Parental leave and caregiver leave programs.
- Flexible spending and commuter benefits: Access to dependent care, commuter, and flexible spending account (FSA) benefits.
- Professional development: Learning and development opportunities, including programs such as Toastmasters.
- Mental wellness: Access to mental health resources and wellness tools designed to support employee well-being.
- Inclusive workplace: A collaborative environment that values diversity, different professional backgrounds, and transferable skills.
- Career growth: Opportunity to work on enterprise-level data transformation initiatives while collaborating with technical experts and senior business leaders.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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