Senior Project Manager (Data)

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 ResponsibilitiesProgram & Project DeliveryLead end-to-end delivery of a multi-year data engineering transformation roadmap, managing timelines, budgets, risks, and dependencies.Oversee delivery of workstreams including data platform modernization, ETL/ELT pipeline development, API integrations, and cloud architecture changes.Establish and maintain delivery frameworks using Agile, Scrum, Kanban, and Hybrid/Waterfall models.Ensure technical designs, data models, integration patterns, and solution architectures align with programmer goals.Stakeholder ManagementAct as primary delivery lead between engineering teams, business units, and executive stakeholders.Translate complex technical detail into clear business language.Facilitate workshops, backlog reviews, sprint planning, governance forums, and steering committees.Risk, Governance & ReportingBuild and maintain programmer RAID logs, delivery dashboards, and reporting packs.Ensure governance alignment with PMO, architecture review boards, and regulatory/compliance requirements.Identify delivery risks and drive mitigation strategies.Technical LeadershipUnderstand modern data engineering practices including Azure Data Services, Databricks, Synapse, Data Lakes, Delta Lake, APIs, ETL/ELT pipelines, and integration patterns.Support teams in breaking down technical work into epics, features, and stories.Challenge solution design decisions for scalability and performance.Team Leadership & Collaboration• Lead cross-functional squads, suppliers, contractors, and third-party vendors.• 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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Required Skills & ExperienceTechnical ExpertiseStrong understanding of cloud data platforms (Azure preferred).Knowledge of APIs, microservices, and integration architectures.Experience with ETL/ELT pipeline development.Knowledge of data modelling, metadata, and governance.Familiarity with Databricks, Spark, Synapse, and big data technologies.Project & Program Management12+ years of technical project/program management experience.Experience delivering multi-year transformation programs.Experience managing budgets over $10M+.Comfortable operating in Agile, Hybrid, and Waterfall models.Leadership & Soft SkillsExcellent stakeholder engagement and communication skills.Strong negotiation and presentation abilities.High degree of ownership and decision-making confidence.Nice to Have Skills & ExperiencePreferred QualificationsPMP, PRINCE2, Agile/Scrum certifications.Experience in financial services, insurance, or regulated industries.Background in data engineering, software engineering, architecture, or analytics.Data Engineering - Data Pipe LinesData ValidationData processingLinkingData outputAzure / AWSAutomationAI - Chat Flow - Chat Bot integrationComplex technical project managementAgile - ScrumBenefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.