Senior Manager, Data Engineering Service & SRE

• Take end-to-end engineering accountability for embedded data engineering teams, ensuring consistent delivery and service outcomes.
• Own Level 3 production support, including code changes to resolve incidents, recurring defects and live data issues.
• Lead security vulnerability remediation, ensuring fixes are delivered, validated and not deferred.
• Deliver platform and service upgrades in partnership with central platform teams, with safe rollout and post-release support.
• Improve data quality and anomaly detection, ensuring issues are identified early, resolved and learned from.
• Drive reduction of technical, data and operational debt, prioritising systemic fixes where issues repeat.
• Standardise and share best practices across embedded teams to reduce duplication and improve efficiency.
• Improve test maturity, including automated testing, regression coverage and quality gates.
• Ensure disciplined use of engineering and quality tooling (e.g. Jira, SonarQube or equivalents).
• Operate embedded engineering as a clear, accountable service, with defined ownership across run, fix, upgrade and improvement.
• Build strong, trusted senior stakeholder relationships, acting as the accountable engineering owner.
• Balance live service stability with delivery demand, security, upgrades and continuous improvement.

• Experience leading and transforming software/data engineering in complex technology landscapes - with a demonstrated ability to cut through ambiguity, align multiple teams and stakeholders, and drive tangible delivery and service outcomes at scale.
• Strong experience taking accountability for platforms with federated engineering/delivery
• Proven senior leadership experience owning delivery, live services and remediation across embedded or federated engineering models.
• Deep understanding of cloud technologies, including operating, upgrading and supporting cloud-based platforms in live production environments.
• Strong understanding of data engineering patterns, including data ingestion, transformation, quality management, resilience and operational support.
• Experience balancing change delivery, run stability, security remediation, upgrades and technical debt reduction in high-pressure environments.
• Demonstrated capability in improving software/data engineering quality and test maturity, including use of automated testing, quality gates and defect reduction practices.
• Strong working knowledge of engineering delivery and quality tooling (e.g. Jira for stories, incidents and defects; SonarQube or equivalent for code quality and technical debt tracking) and data engineering technologies (BigQuery, Dataflow, Airflow, Cloud storage)
• Ability to absorb, standardise and scale best practices across multiple teams and domains without introducing excess bureaucracy.
• Excellent stakeholder management skills - able to build strong, trusted relationships, reset expectations when required, and hold delivery teams accountable.
• Experience working with engineering delivery, defect and quality tooling (e.g. Jira, SonarQube or equivalents).
• Background in data, platform, software engineering, architecture, build/test with high availability and security needs.
• Understanding of BT Consumer and / or Openreach environments is a strong plus, particularly experience working with front-line, customer-impacting platforms and services.
• Commercially astute, with experience delivering tcomes using constrained, mixed or optimised resourcing models.
• Story-telling with data: Strong skills in building the case for change, drawing on data and analytical techniques where appropriate, and communicating this to business audiences

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