Director, Legal Data Strategy & Analytics

The Director, Legal Data Strategy & Analytics will develop and deliver a comprehensive and proactive Data Analytics and Reporting strategy to enable a data-driven culture in the Legal & Co-Sec function. This role will also embed a thriving data culture and increased data maturity across the wider function, define and maintain a data assurance programme, and play an individual contributor role for data engineering, data solutions, and internal consulting on LEGAL & CO-SEC technologies.

Requirements

• Strong experience in data engineering with technical expertise in data management (including end-to-end data lifecycle, data models, data mapping, data mining, etc).
• Experience of formulating operational strategy including KPIs (key performance indicators) and reporting on these.
• Proven experience to translate data and information into actionable insights tailored for stakeholder interests.
• Hands-on experience with database & data lake design & technologies (Hadoop eco-system, SQL, Dataiku, Tableau, etc.).
• Hands-on experience of programming languages – Python, SQL is a must.
• Knowledge of AI/ML, Gen-AI techniques and tools is a must.
• Strong understanding of natural language processing (NLP) and machine learning.
• Experience in the principles and execution of data architecture in a complex client environment involving hybrid deployment of systems both on-premises and in the cloud.
• Substantial experience in data management or another relevant field.
• Substantial and proven people management experience.
• Strong executive communication skills and confidence in presenting, able to discuss with technical and non-technical audiences to foster discussion with senior stakeholders.
• Exemplary integrity, ethics, independence, and resilience. Ability to handle sensitive matters at all levels of the organisation with discretion and confidentiality.
• Able to perform effectively under pressure with good personal organisation, time management and prioritisation skills.
• Proven experience in setting up and running data assurance programmes.
• Working knowledge of information security and information privacy best practices.
• Data engineering certification on big data & Hadoop ecosystem is desirable.
• Knowledge of service desk principles or certification (e.g. ITIL) is desirable.

Benefits

• Core bank funding for retirement savings
• Medical and life insurance
• Flexible and voluntary benefits available in some locations
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days),
• Minimum global standards for annual and public holiday, which is combined to 30 days minimum
• Flexible working options based around home and office locations, with flexible working patterns
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits