Senior Project Manager (Data)

Job Description We are seeking an experienced Senior Technical Project Manager to lead the delivery of a complex, multi-year data engineering transformation program. This role will oversee large-scale initiatives involving modern data platform builds, migration of legacy systems, API integration, data governance uplift, and enterprise-level architectural change. The ideal candidate has a strong mix of technical understanding, program delivery expertise, and leadership capability in dynamic environments. Key Responsibilities Program & Project Delivery u00b7 Lead end-to-end delivery of a multi-year data engineering transformation roadmap, managing timelines, budgets, risks, and dependencies. u00b7 Oversee delivery of workstreams including data platform modernization, ETL/ELT pipeline development, API integrations, and cloud architecture changes. u00b7 Establish and maintain delivery frameworks using Agile, Scrum, Kanban, and Hybrid/Waterfall models. u00b7 Ensure technical designs, data models, integration patterns, and solution architectures align with programmer goals. Stakeholder Management u00b7 Act as primary delivery lead between engineering teams, business units, and executive stakeholders. u00b7 Translate complex technical detail into clear business language. u00b7 Facilitate workshops, backlog reviews, sprint planning, governance forums, and steering committees. Risk, Governance & Reporting u00b7 Build and maintain programmer RAID logs, delivery dashboards, and reporting packs. u00b7 Ensure governance alignment with PMO, architecture review boards, and regulatory/compliance requirements. u00b7 Identify delivery risks and drive mitigation strategies. Technical Leadership u00b7 Understand modern data engineering practices including Azure Data Services, Databricks, Synapse, Data Lakes, Delta Lake, APIs, ETL/ELT pipelines, and integration patterns. u00b7 Support teams in breaking down technical work into epics, features, and stories. u00b7 Challenge solution design decisions for scalability and performance. Team Leadership & Collaboration u00b7 Lead cross-functional squads, suppliers, contractors, and third-party vendors. u00b7 Foster a culture of continuous improvement and iterative delivery. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Technical Expertise u00b7 Strong understanding of cloud data platforms (Azure preferred). u00b7 Knowledge of APIs, microservices, and integration architectures. u00b7 Experience with ETL/ELT pipeline development. u00b7 Knowledge of data modelling, metadata, and governance. u00b7 Familiarity with Databricks, Spark, Synapse, and big data technologies. Project & Program Management u00b7 12+ years of technical project/program management experience. u00b7 Experience delivering multi-year transformation programs. u00b7 Experience managing budgets over $10M+. u00b7 Comfortable operating in Agile, Hybrid, and Waterfall models. Leadership & Soft Skills u00b7 Excellent stakeholder engagement and communication skills. u00b7 Strong negotiation and presentation abilities. u00b7 High degree of ownership and decision-making confidence. Preferred Qualifications u00b7 PMP, PRINCE2, Agile/Scrum certifications. u00b7 Experience in financial services, insurance, or regulated industries. u00b7 Background in data engineering, software engineering, architecture, or analytics. u00b7 Data Engineering - Data Pipe Lines u00b7 Data Validation u00b7 Data processing u00b7 Linking u00b7 Data output u00b7 Azure / AWS u00b7 Automation u00b7 AI - Chat Flow - Chat Bot integration u00b7 Complex technical project management u00b7 Agile - Scrum

Created: 2026-04-04