Leadership Role - Data Strategy/Data Analytics/Data Engineering - Python + SQL

Leadership role in Data Strategy, Data Analytics, Data Engineering - Python + SQL

Roles and Responsibility:

The purpose of this role is to:

- Define and own the LCS data strategy

- Drive business value for the data assets and support improved risk management and compliance in LCS.

- Define data solutions and data delivery roadmaps to meet the evolving needs of the LCS practice areas.

- Enable establishment of data-driven culture and processes in LCS to deliver enhanced productivity.

- Define and maintain a data assurance programme to ensure data quality and integrity.

Strategy:

- Define and deliver a strategy to improve the availability, use and analysis of data to support strategic decision making.

- Drive business value for the data assets to support improved risk management and compliance in LCS.

- Define data solutions and data delivery roadmaps to meet the evolving needs of the LCS practice areas.

- Enable the establishment of data-driven culture and processes in LCS.

Business:

- Create best practices, solution frameworks and techniques to deliver a next-generation data analytics outfit.

- Guide the Data Engineering & Insights team in eliciting data requirements and identification of golden sources for data.

- Establish data roadmaps, in conjunction with the Legal Risk & Policy and TTO teams to manage the LCS end-to-end data lifecycle.

- Establish a data knowledge bank and advisory function to enable improved data insights and enhanced productivity across LCS.

- Act as a thought leader for the data and reporting processes in LCS.

Processes:

- Liaise with the wider data community in establishing best practices, solution patterns and nimble data analytics solutions.

- Perform horizon scanning on upcoming trends in data management practices, data science technologies and incorporate into ways of working.

- Define and maintain a data assurance programme to enable data quality and integrity, and to support data driven decision making in LCS.

- Lead / manage the build out of the data systems, strategy and pipeline of work; streamline the data delivery process across the function; and identify and implement methods to improve efficiency and productivity.

- Be client focused - evaluate business needs and objectives to deliver outputs that match or exceed the expectations.

- Collaborate with TTO regarding the data infrastructure on maintenance and on relevant projects which impact Legal technology and data.

People & Talent:

- Lead the Data Engineering & Insights team in delivering the objectives.

- Attract and retain talent to support creation of a best-in-class data solutions' team within LCS.

Risk Management:

- Embed compliance with data management risks, including data quality, secrecy, privacy, records management and AI ethics in the design and use of data solutions.

- Ensure compliance with the risk management practices applicable for the role.

Governance:

- Support compliance of all relevant policies and procedures for data platforms and activities within remit.

- Ensure timely escalation and remediation in the event of serious data breaches, or where risk tolerances have been breached.

Regulatory & Business Conduct:

- Display exemplary conduct and live by the Group's Values and Code of Conduct.

- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

- Lead the Data Engineering & Insights team to achieve the outcomes set out in the Bank's Conduct Principles.

- Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders:

- LCS COO team

- LCS Leadership team

- LCS BPMs

- Functional stakeholders including Finance, TTO, HR

Our Ideal Candidate:

- Bachelors or Masters degree in Computer Science, IT, Data Science, or another relevant field.

- Very strong experience as a data engineer or in a similar role.

- Hands-on experience with database & data lake design & technologies (e.g., SQL, or Azure, etc.).

- Technical expertise with data models, data mining, data manipulation, data mapping and segmentation techniques.

- Strong leadership qualities.

- Strong communication skills, with confidence explaining complex concepts in a simple manner.

- Good presentation and interpersonal skills with experience of working with senior stakeholders.

- Great numerical and analytical / problem-solving skills.

- Exemplary integrity, ethics, independence and resilience.

- Ability to handle sensitive matters at all levels of the organisation with discretion and confidentiality.

- Good requirements gathering skills.

- Good knowledge of information security and information privacy best practices.

- Working knowledge of programming languages (e.g., Python, SQL or Java, etc.).

- Knowledge of Big data technologies, cloud concepts and data engineering techniques and tools.

- Data engineering certification (e.g. IBM Certified Data Engineer) is desirable.

- Knowledge of service desk principles or certification (e.g. ITIL) is desirable.

Role Specific Technical Competencies:

- Data Engineering

- Data Architecture

- Data Warehousing

- Data Governance

- Logical Data Modelling

- Data Gathering and Reporting

- Data Insights and Analysis

- Data Science

- Analytical Thinking

- Coaching Others

- Manage People