> Markdown version of [/jobs/ext/1913113-data-engagement-lead](https://www.wearedevelopers.com/jobs/ext/1913113-data-engagement-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engagement Lead - **Company:** CGI Group Inc. - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Engineering, Information Systems, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Data Transformation, DevOps, Meta-Data Management, Power BI, Azure Data Lake, Systems Integration, Enterprise Data Management, Cloud Platform System, Azure Data Factory, Snowflake, Data Strategy, Microsoft Fabric, Information Technology, Data Analytics, Data Management, Azure Synapse Analytics, Databricks - **Published:** August 4, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2909117867-2 ## About the Role To succeed in this role, you will bring extensive experience leading enterprise-scale data and analytics programmes within consulting, professional services, or complex client-facing environments. You will combine strong programme delivery expertise with a solid understanding of modern data platforms, cloud ecosystems, and enterprise data management principles. Excellent stakeholder engagement skills, leadership capability, and the ability to bridge strategic business objectives with technical delivery will be essential., Proven experience leading large-scale data transformation and analytics programmes Strong background delivering enterprise data projects within consulting or client-facing environments Experience leading multidisciplinary teams including Data Engineers, Data Architects, Governance specialists, Analysts, and Platform teams Strong understanding of modern cloud data architectures and data platform ecosystems Experience with one or more technologies including AWS, Microsoft Fabric, Databricks, Snowflake, Azure Data Factory, Azure Synapse Analytics, Power BI, or Azure Data Lake Strong knowledge of data governance, data quality, metadata management, lineage, and enterprise data management practices Proven ability to engage and influence senior stakeholders and executive audiences Experience delivering programmes using Agile, Waterfall, and/or SAFe methodologies Strong programme governance, risk management, budgeting, and resource planning experience Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related discipline Desirable: Consulting, systems integration, or enterprise transformation experience Experience working within large-scale cloud environments Familiarity with CI/CD and DevOps practices for data platforms Exposure to AI/ML, advanced analytics, or data science initiatives Relevant certifications in Azure, Databricks, Agile, SAFe, or Project Management methodologies Together, as owners, let's turn meaningful insights into action. ## Description At CGI, we help organisations unlock the full value of their data to drive transformation, innovation, and measurable business outcomes. As a Data Engagement Lead, you will play a pivotal role in shaping and delivering complex enterprise data programmes, guiding clients through large-scale modernisation initiatives while leading talented multidisciplinary teams. Working at the intersection of strategy, delivery, and technology, you will help organisations build trusted, scalable data capabilities that enable better decision-making and long-term success. Joining CGI means having the opportunity to take ownership of meaningful outcomes, contribute creative solutions to complex challenges, and grow your career within a collaborative and supportive environment., In this role, you will lead the successful delivery of complex data transformation programmes for enterprise clients, acting as a trusted advisor and senior engagement lead throughout the lifecycle of each initiative. You will work closely with client stakeholders, programme teams, and technical specialists to define delivery roadmaps, manage risks, and ensure business outcomes are achieved. Combining strong delivery leadership with deep data expertise, you will help clients modernise their data capabilities, establish effective governance frameworks, and maximise the value of their data investments. You will provide direction and oversight across multidisciplinary teams spanning architecture, engineering, governance, analytics, and platform disciplines. Working within CGI's collaborative culture, you will have the opportunity to shape innovative solutions, influence strategic decisions, mentor colleagues, and drive high-impact outcomes for both clients and delivery teams. Lead & Deliver complex data transformation and modernisation programmes from inception to completion Own & Manage client engagements, stakeholder relationships, governance, budgets, and delivery plans Shape & Guide enterprise data platform implementations, migrations, and analytics initiatives Facilitate & Collaborate across business, technology, and data teams to drive successful outcomes Advise & Influence senior stakeholders on data strategy, operating models, and transformation roadmaps Govern & Mitigate programme risks, dependencies, and delivery challenges Support & Mentor delivery leads, architects, engineers, analysts, and governance specialists Drive Excellence through adoption of best practices across data quality, governance, security, and compliance Contribute & Grow business opportunities through workshops, discovery sessions, solution shaping, and pre-sales activities Champion Innovation across modern cloud data platforms, analytics capabilities, and emerging technologies ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)