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Act as primary client partner for assigned accounts: build relationships, drive renewals, upsells and revenue growth, lead onboarding and strategic planning, coordinate cross-functional delivery, track KPIs (revenue, NPS, forecast accuracy), and produce client-facing insights and artefacts to sustain long-term partnerships and profitability.

Serve as the data product owner and liaison between client stakeholders and delivery teams. Write and prioritise user stories, manage the backlog, facilitate Agile ceremonies, validate story completion, map data products to sources, ensure data quality and reconciliation within a medallion architecture, and report delivery metrics while supporting account growth.

Lead pre-sales technical engagements, run deep-dive workshops, and shape proposals and account strategies. Influence product roadmaps, define sales-engineering strategy, and collaborate with leadership to expand market presence. Represent the firm externally and support cross-functional delivery planning.

Design and build automated analytics reports and pipelines. Collaborate with internal engineers and client teams to model, transform, test, document, and deploy data using SQL, dbt, ELT patterns, Git, BI tools, and cloud data platforms. Provide client-facing support within distributed, agile teams.

Build across backend, frontend and IDE extensions using agentic AI tooling, deliver features to spec with tests-first practices, and become the team expert mapping legacy ETL (Informatica/SSIS/Talend/IICS) to modern stacks (dbt, Fivetran, cloud warehouses). Ensure code comprehension, log agent failures, and drive modernisation patterns while meeting throughput and quality KPIs.