Lead end-to-end BI solution delivery on complex engagements, ensuring both technical excellence and tangible business value
Collaborate with BI teams, fostering a culture of knowledge sharing, continuous improvement, and high-quality delivery
Shape and influence client BI strategies, advocating best practices in data modelling, governance, and adoption
Facilitate requirements workshops and design sessions, engaging both technical and non-technical stakeholders to co-create effective solutions
Deliver tailored training and adoption support across all user personas—from Consumers to advanced Developers
Own key deliverables, including the design of BI-centric data models, working alongside Data Engineers and Architects using leading technologies
Support Delivery Leads in driving delivery plans, structuring high-quality work, managing risks and dependencies, and communicating effectively with senior stakeholders
Lead teams of onshore and offshore developers, ensuring consistent standards and delivery excellence
Requirements
Experience delivering a range of Business Intelligence solutions with tangible business benefits, ideally within a consulting environment
Strong expertise in the design, implementation, and optimisation of Tableau solutions
Ability to assess and rationalise existing reporting estates, consolidating legacy dashboards and migrating to strategic, governed target-state architectures
Familiarity with enterprise Tableau governance, including report sign-off cycles, access management, and support for regulated data products
Ability to mentor and lead teams
Strong stakeholder engagement skills
Solid understanding of relational databases, SQL, and data modelling concepts within a BI environment
Proven experience shaping and implementing Tableau Governance, Self-Service, and Adoption strategies (desirable)
Tableau Certification (e.g. Tableau Data Analyst, Tableau Associate Consultant) (desirable)
Experience delivering and facilitating client-facing training across all levels (desirable)
Domain experience within Finance, Insurance, or Risk sectors (desirable)
Ability to deliver curated, performance-optimised gold-layer data models using technologies such as Lakehouse, AWS, Microsoft Fabric, Databricks, and Snowflake (desirable)
Hands-on experience with other BI tools such as Power BI, QuickSight, and Databricks (desirable)
Working knowledge of publishing certified reports or data products into governed marketplaces (desirable)