Program Manager (Data Engineering Background)

Location: remotely, occasional travel to London (if needed) for planning or key client ceremonies.Summary: We are seeking a Program Manager with a strong Data Engineering background to oversee customer onboarding and manage the delivery of data initiatives for a global analytics company. Main Responsibilities: • Lead and manage complex data engineering programs across multiple workstreams. • Own customer onboarding workflows including planning, requirement gathering, coordination, and technical alignment. • Drive end-to-end delivery governance—milestones, risks/issues, dependencies, and change requests. • Establish and maintain program dashboards, weekly reports, and executive-level updates. • Ensure delivery timelines, quality, and SLAs are consistently met. • Serve as the primary point of contact for UK client stakeholders. • Conduct regular status meetings, steering committees, and program reviews. • Translate business needs into actionable plans for engineering teams. • Proactively identify delivery risks and implement mitigation strategies. • Collaborate with engineering leads to ensure technical feasibility and roadmap alignment. Key Requirements: • 8–12 years of experience in Program/Project Management, preferably in data engineering or data platform projects. • Strong understanding of data pipelines, ETL/ELT, cloud data platforms (Azure/GCP/AWS), data modeling, and engineering workflows. • Experience working with UK/European clients in a nearshore or hybrid delivery model. • Proven track record in customer onboarding, requirement gathering, and delivery governance. • Excellent communication, stakeholder management, and presentation skills. • Strong proficiency with project management tools (Jira, Azure DevOps, Confluence, MS Project, etc.). • Ability to prepare and present clear weekly/monthly status reports, dashboards, and executive summaries. Nice to Have: • Certifications: PMP, PRINCE2, CSM, or cloud certifications (Azure/GCP/AWS). • Experience in Agile/Scrum delivery environments. • Exposure to data products, analytics platforms, or migration programs.