Senior Project Manager, Scrum Master

Emerald

. Lead end-to-end delivery of data platform, integration, analytics, and reporting initiatives from discovery through production deployment and transition to support .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $130,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data platform delivery, Agile project management, and cross-functional collaboration. Proficient in managing cloud data capabilities, analytics, and reporting while ensuring adherence to governance and change management standards.

Highest-signal resume keywords

Agile Scrum Master ExperienceData Platform ManagementProject Planning and OrganizationJira and Confluence ProficiencyStakeholder Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionETL/ELT PipelinesAPIs or Web ServicesRelational DatabasesData WarehousesData QualityReportingBacklog ManagementUser StoriesAcceptance Criteria

Soft Skills

Risk ManagementDependency ManagementVendor ManagementCollaborationCommunication

Tools & Technologies

JiraConfluencePower BIDatabricksAWSMicrosoft AzureMicrosoft Fabric

Certifications & Qualifications

PMPCSMPSMPMI-ACPSAFe Scrum Master

Industry Keywords

Data PlatformsAnalyticsBusiness IntelligenceIntegrationCloud-Based SystemsChange ManagementDeployment GovernanceQA and UATMaster Data ManagementEnterprise Data Governance

Tech Stack

Tools & technologies

AWSAzureCloudETLPMP

About the role

Key responsibilities & impact

Lead end-to-end delivery of data platform, integration, analytics, and reporting initiatives from discovery through production deployment and transition to support
Serve as Scrum Master and Agile delivery lead for the data platform team
Facilitate backlog grooming, sprint planning, daily standups, design reviews, sprint reviews, retrospectives, and release-readiness activities
Partner with product owners and business stakeholders to define priorities, clarify requirements, establish acceptance criteria, sequence dependencies, and maintain the backlog
Work with data engineers and technical leads to size stories, plan sprint capacity, monitor progress, identify blockers, and align commitments with resources
Maintain project plans, roadmaps, milestones, RAID logs, RACI charts, stakeholder registers, decision logs, status reports, test plans, deployment checklists, and lessons learned
Coordinate cross-functional work across engineering, application teams, architecture, security, infrastructure, BI, governance, vendors, and business functions
Manage delivery of cloud data-platform capabilities, including ingestion, integrations, transformation, master data, data quality, governance, data models, and Power BI reporting
Coordinate QA and UAT, including test planning, tester readiness, defect triage, evidence collection, sign-off, and production readiness
Ensure releases meet change-management and deployment-governance requirements
Identify and resolve or escalate risks, resource constraints, scope changes, dependencies, and decision points
Provide status reporting to project teams, stakeholders, technology leadership, and executive sponsors
Promote use of Jira and Confluence for stories, sprint tracking, decisions, documentation, and transparency
Support continuous improvement of data-delivery and PMO practices

Requirements

What you’ll need

7+ years of project or program management experience delivering enterprise technology initiatives
Significant experience with data platforms, analytics, business intelligence, integration, or cloud-based systems
Experience serving as an Agile Scrum Master or Agile Project Manager for data engineering, software development, analytics, or integration teams
Strong working knowledge of Scrum practices, including backlog management, user stories, acceptance criteria, estimation, sprint planning, standups, reviews, retrospectives, velocity, and impediment removal
Experience with data ingestion, ETL/ELT pipelines, APIs or web services, relational databases, data warehouses or lakehouses, master data, data quality, and reporting
Experience coordinating QA, UAT, change control, deployment readiness, production releases, and transition to operational support
Advanced project planning, organization, risk management, dependency management, vendor management, and stakeholder communication skills
Ability to translate between business outcomes and technical delivery details and communicate technical information clearly to senior management
Experience collaborating with distributed teams, offshore development partners, consultants, and third-party vendors
Proficiency with Jira and Confluence
Ability to operate effectively with multiple concurrent initiatives and evolving priorities
Preferred: experience with Databricks, AWS, Microsoft Azure, Microsoft Fabric, Power BI, or comparable platforms
Preferred: experience with medallion or layered data architectures, lakehouse patterns, semantic models, master data management, and enterprise data governance
Preferred: PMP, CSM, PSM, PMI-ACP, SAFe Scrum Master, or equivalent certification

Benefits

Comp & perks

Bonus
Unlimited vacation for exempt employees
Flexible working locations
401(k) plan with a company match
Medical, dental, and vision coverage
Transgender services and fertility benefits
Parental and caregiver leave
Dependent benefits
Commuter benefits
FSA benefits
Professional development programs such as Toastmasters
Mental wellness tools