Client Engagement & Delivery Lead - Data

Job Overview

The Client Engagement and Delivery Lead (Data) will drive the design and delivery initiatives that help governments build modern data foundations and use data at scale to improve public outcomes. Reporting to the SD for Client Engagement and Delivery, the role spans strategy and execution. The Lead will work closely with the country teams to identify government needs and shape business opportunities, enabling policies and operating models for data sharing, and strengthening delivery capability so projects translate into scalable, sustainable impact.

This role complements the Client Engagement & Delivery Leads on AI and Tech Transformation, with a deeper hands‑on emphasis on data architecture and interoperability. The Client Engagement & Delivery Lead (Data) will work with the product manager and developers in the AI and Innovation business unit:

• Map government problems to data platform solutions and roadmaps across core systems (budgeting, procurement, HR, finance, case management).
• Translate user and policy needs into technical requirements for data pipelines, storage, models, and APIs; co‑design pilots and iterate to production.
• Ensure delivery assurance: security, privacy, data governance, quality, lineage, monitoring, and interoperability‑by‑design in public‑sector environments.

• Support country teams to identify data‑related opportunities within digital transformation agendas.
• Articulate demand into clear advisory and delivery scopes with measurable outcomes and value cases.
• Engage senior counterparts to align data initiatives with national priorities, reform agendas, and platform strategies.
• Partner with country teams to understand client priorities and adapt sales approaches to specific country or regional contexts, to convert demand into engagement.
• Provide ongoing support to in‑country delivery teams to ensure alignment and execution quality.

• Co‑develop actionable data strategies and roadmaps (platforms, integration layers, governance, skills), linking policy aims to concrete architectures.
• Design or assess reference architectures for analytics, operational data stores, data lakes/warehouses/lake houses, and interoperability (APIs, events, metadata/catalogues).
• Advise on data governance (roles, stewardship, quality, lineage), privacy and security controls, and data sharing agreements suited to government contexts.
• Bring data subject‑matter expertise: able to design and review data architectures (batch/streaming), data models, ETL/ELT pipelines, API and event‑driven integrations, data catalogues/lineage, and platform choices (e.g. AWS/Azure/GCP).
• Bring interoperability experience: on data exchange patterns and standards (e.g. APIs, schemas, metadata, identifiers), and designing cross‑agency data sharing, MDM, and access controls, beyond policy alone.

• Translate needs into backlogs and delivery roadmaps; oversee discovery pilot scaled deployment and troubleshoot risks.
• Run technical design reviews (pipelines, storage, schema, integration, monitoring); evaluate vendor claims and ensure fit to context.
• Partner with Product/AI Incubator team to embed data capabilities into services (budgeting, procurement, HR, finance, case management).
• Work closely with product developers and engineers to ensure propositions are accurately represented and tailored to government client needs.
• Support enabling policies and operating processes in government (e.g., data governance, procurement for platforms/services) that unblock delivery.

• Collaborate across AI BU and country teams to ensure coherent data approaches across engagements.
• Work with the Deployment Specialist to capture and disseminate playbooks, patterns, and tooling.
• Contribute to thought leadership on data foundations and interoperability in government; represent TBI in relevant forums.

• 7-10 years' experience across data architecture/engineering and delivery in the public sector.
• Demonstrable ability to design, implement, and…