Senior Technical Delivery Manager - Data & Analytics programs

CompanyGazelle Global

LocationNorwich, England, United Kingdom

Posted At3/13/2026

UK Visa Sponsorship Analytics

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Occupation Type

Actuaries, economists and statisticians

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£55,100 (£28.26 per hour)

Occupation rate applies

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Description

The Role

We’re looking for a Senior Technical Delivery Manager to lead large-scale Data & Analytics programs for insurance enterprises. You will drive program governance, lead steering groups, manage vendor and customer stakeholders, and orchestrate cross-functional teams to deliver outcomes across Master Data Management (MDM), data integration, data engineering platforms, and discovery/analytics services (BI/AI/ML). This is a delivery leadership role with strong technical depth and executive presence.

Ideal for: A seasoned delivery leader who can translate strategy into delivery plans, manage complex dependencies across business and technology, and consistently land outcomes in regulated, multi-vendor insurance environments.

Your responsibilities:

Own end-to-end delivery of multi-workstream Data & Analytics programs (roadmap → execution → go-live → stabilization).
Establish and run program governance: steering committees, design authorities, risk boards; ensure timely decisions and transparent reporting.
Define delivery operating model, RACI, and cross-team engagement (client, vendor, and internal teams).

Build realistic plans and budgets, manage scope, dependencies, risks, and change control.

Engage C-suite/VP/Director-level business and technology sponsors; manage expectations and alignment to value outcomes.

Lead steering group forums—present status, trade-offs, risks, mitigation, and commercial impacts.

Govern multi-vendor delivery (SI, tool/platform vendors, data providers), SLAs, and contract deliverables.

Guide delivery for:

MDM/Customer 360 (e.g., Reltio/Informatica/Semarchy): match/merge, survivorship, stewardship, integrations.

Data integration: APIs/events, batch/streaming ingestion, CDC, lineage.

Data engineering: data lake/lakehouse, orchestration (Airflow/MWAA), ETL/ELT (e.g., Glue), DQ frameworks.

Discovery services: BI/analytics (Power BI/Tableau), ML feature pipelines, self-service data products.

Oversee architecture conformance, security/compliance (PII/PHI, GDPR), and cost optimization.

Ensure observability (logging/metrics), DQ SLAs, lineage, and platform SLOs.

Align data initiatives to insurance value streams: Policy Admin, Claims, Underwriting, Pricing/Actuarial, Distribution/Broker, Fraud/Financial Crime, and Regulatory reporting.

Translate domain needs (e.g., FNOL, policy lifecycle, claims triage, loss reserving, IFRS/solvency) into prioritized backlogs and success metrics.

People Leadership & Ways of Working

Lead cross-functional squads (data engineers, MDM specialists, platform/SRE, QA, analysts) across onshore/offshore models.

Drive Agile at scale (Scrum/Kanban/SAFe), objective setting (OKRs), and continuous improvement.

Mentor delivery leads and tech leads; foster a culture of ownership, quality, and proactive risk management.

Your Profile

Over 12 years of experience leading end‑to‑end delivery of large, multi‑workstream Data & Analytics programs from planning through stabilization.
Strong track record in establishing program governance, managing budgets, risks, scope, dependencies, and driving enterprise-level decision-making.
Deep expertise engaging C‑suite/VP stakeholders, aligning expectations, and presenting status, risks, and trade‑offs in executive steering forums.
Proven ability to govern multi‑vendor delivery ecosystems—system integrators, platform vendors, and data providers - ensuring SLA and contractual compliance.

Solid technical delivery background across MDM/Customer 360, data integration (APIs, streaming, CDC), data engineering (lakehouse, ETL/ELT, orchestration), and BI/analytics platforms.

Strong understanding of architecture alignment, data privacy/security (PII/PHI, GDPR), observability, operational SLOs, and cost optimization.

Broad insurance domain knowledge across policy administration, claims, underwriting, pricing/actuarial, distribution, fraud, and regulatory reporting, with ability to translate needs into data product roadmaps.