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Domain: Data & Analytics / Cloud Platforms / Enterprise Technology
Job SummaryWe are seeking an experienced Senior Data & Analytics Platform Scrum Master / Release Train Engineer (RTE) to lead Agile delivery across enterprise Data & Analytics platforms. The selected candidate will initially oversee the Data & Analytics (D&A) Supply Chain product team, working alongside the existing Scrum Master. Following the existing Scrum Master's planned transition on December 10, the candidate will also assume responsibility for the D&A Cyber team.
The ideal candidate will have strong experience in SAFe, Scrum, Agile delivery, cross-team coordination, release management, and cloud/data platform initiatives. Experience working with data engineering, data integration, analytics, and cloud migration teams is highly desirable.
Key Responsibilities>
- <>Lead Agile delivery for enterprise Data & Analytics platforms, coordinating data engineering, analytics, cloud, infrastructure, and application teams.>
- <>Facilitate SAFe events, including PI Planning, Scrum of Scrums, Agile Release Train (ART) Sync, sprint ceremonies, retrospectives, and release planning.>
- <>Coordinate multiple Agile teams and Scrum Masters while managing cross-team dependencies, risks, impediments, and delivery commitments.>
- <>Drive end-to-end execution of data platform initiatives, including data engineering, data integration, analytics, and cloud migration projects.>
- <>Collaborate with Product Owners, Data Architects, Data Engineers, Data Analysts, and business stakeholders to prioritize backlogs and align delivery with business objectives.>
- <>Coordinate cloud and data platform transformation initiatives involving Snowflake, Teradata, Microsoft Azure, AWS, Google Cloud Platform, and Amazon Redshift.>
- <>Manage release planning, deployment coordination, cutover activities, change approvals, and production readiness across dependent teams.>
- <>Track Agile delivery metrics, including velocity, burndown/burnup, cycle time, defect trends, release progress, and team capacity.>
- <>Maintain program plans, RAID logs, dependency maps, dashboards, and executive status reports while proactively escalating risks and delivery issues.>
- <>Drive continuous improvement, coach Agile teams and Scrum Masters, and promote collaboration, predictable delivery, and quality outcomes.>
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Required Qualifications and Experience>
- <>10+ years of experience in Agile delivery, Scrum Master responsibilities, project/program management, or related technology leadership roles.>
- <>Proven experience coordinating multiple Agile teams and managing cross-functional delivery.>
- <>Demonstrated Release Train Engineer (RTE) or equivalent Agile Release Train (ART)-level leadership experience.>
- <>Hands-on experience facilitating PI Planning, Scrum of Scrums, ART Sync, and cross-team dependency and risk management.>
- <>Experience supporting Data & Analytics platforms, data engineering, data integration, or analytics initiatives.>
- <>Familiarity with technologies such as Snowflake, Teradata, SQL, Power BI, Tableau, PySpark, and Amazon Redshift.>
- <>Strong understanding of cloud platforms, APIs, enterprise technology delivery, and release management.>
- <>Experience using Azure DevOps, JIRA, or similar Agile project management tools.>
- <>Excellent facilitation, stakeholder management, executive communication, risk management, and Agile metrics/reporting skills.>
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Preferred Qualifications>
- <>SAFe Release Train Engineer (RTE) certification.>
- <>Project Management Professional (PMP) certification.>
- <>Certified Scrum Master (CSM) certification.>
- <>Experience leading cloud migration, data platform modernization, and enterprise transformation initiatives.>
- <>Experience managing production releases, change approvals, deployment planning, and cutover activities.>
- <>Experience working with distributed, cross-functional teams in large enterprise environments.>
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Key SkillsAgile & SAFe: SAFe, Scrum, Kanban, PI Planning, ART Sync, Scrum of Scrums, Sprint Planning, Backlog Refinement, Retrospectives.
RTE & Delivery Leadership: Release Train Engineer, Agile Coaching, Cross-Team Coordination, Dependency Management, Risk and Issue Management, Stakeholder Management.
Data & Analytics: Snowflake, Teradata, SQL, Power BI, Tableau, PySpark, Amazon Redshift, Data Engineering, Data Integration.
Cloud Platforms: Microsoft Azure, AWS, Google Cloud Platform, Cloud Migration, Platform Modernization.
Release & Change Management: Release Planning, Deployment Coordination, Cutover Planning, Change Management, Production Readiness, RAID Management.
Tools: Azure DevOps, JIRA, Confluence, TFS, Microsoft Project.
Ideal Candidate ProfileThe ideal candidate is a senior Agile delivery leader with hands-on RTE experience, strong SAFe knowledge, and the ability to coordinate multiple teams supporting enterprise Data & Analytics platforms. The candidate should be comfortable managing dependencies, facilitating scaled Agile ceremonies, driving cloud and data transformation initiatives, and communicating delivery status and risks to senior stakeholders.
Candidates with a combination of Agile leadership, cloud transformation, data platform exposure, and enterprise release management experience are strongly preferred.>