The role provides hands-on delivery and operational support for our data platform, to help ensure that we have a platform that remains performant and responsive to business needs in alignment with data governance standards.
The Team
The role reports to the Senior Integrations, Development and Data manager in the Business Enablement team. The role has key relationships with data stewards, data product owners and IT stakeholders. The Business Enablement team ensures that the firm has the tried and tested tools lawyers need to do their jobs efficiently and effectively.
Key Responsibilities
Willing to get hands-on managing the platform and getting involved in service delivery as required by the business.
Own the end‑to‑end data platform roadmap, aligning analytics and data science capabilities to firm, practice group and client priorities
Accountable for the architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning
Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment
Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial and document metadata
Define and enforce data governance, quality and compliance, working closely with Risk, Privacy and Information Security teams
Act as the primary business and leadership for the data platform, collaborating with business leaders to translate legal and operational needs into data capabilities or products
Oversee platform operability, scalability and cost management, working with engineering and infrastructure teams
Lead vendor management and capability development, ensuring tools, skills and standards support responsible and scalable data science adoption
Key Skills and Experience
Own end-to-end EMEAPAC data platform across design, delivery and steady-state operation
Strong understanding of Databricks and Fabric architecture, including Lakehouse patterns
Ability to oversee ingestion, transformation and reporting layers across enterprise data flows
Working knowledge of Databricks (Delta Lake, pipelines, orchestration) and Fabric (Power BI, semantic models)
Experience in operating appropriate governance over data quality, lineage, access and cross-border data controls
Operate within structured service wrap, including L1–L4 support and formal service acceptance
Ability to monitor platform performance, reliability and adoption in live operation
Strong understanding of security, RBAC and integration with Azure AD and enterprise controls
Awareness of cost, performance and scalability trade-offs across compute and storage
Familiarity with DevOps practices including CI/CD, environment management and controlled releases
#LI-JC1 #LI-Hybrid
Diversity, Equity and Inclusion
To attract the best people, we strive to create a diverse and inclusive environment where everyone can bring their whole selves to work, have a sense of belonging, and realize their full career potential.
Our new enabled work model allows our people to have more flexibility in the way they choose to work from both the office and a remote location, while continuing to deliver the highest standards of service. We offer a range of family friendly and inclusive employment policies and provide access to programmes and services aimed at nurturing our people’s health and overall wellbeing. Find more about Diversity, Equity and Inclusion here.
We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams. We strive to create an inclusive and accessible recruitment process for all candidates. If you require any tailored adjustments or accommodations, please let us know here.
