Define and drive the strategy for data quality and reliability, establishing controls, monitoring and remediation approaches that uphold the highest standards.
Develop and implement analytical tools and programmes that empower teams and clients to make data-driven decisions.
Partner with system architects and product development teams to shape data architecture, influence the technical roadmap and evaluate new technologies.
Define and maintain data standards, design patterns and best practices, and champion data governance across teams and client engagements.
Serve as the senior technical contact for clients, advising on solutions, managing expectations and representing the data function in escalations.
Work with project management to scope work, assess risk and shape delivery plans and timelines.
Coach and mentor analysts and junior team members, reviewing work and raising technical capability across the team.
Required Skills
Deep expertise in investment data, including its structures, lifecycle and common data challenges.
Extensive hands-on experience with SQL and NoSQL databases.
Advanced knowledge of cloud platforms and big data technologies (e.g. AWS, GCP, Azure).
Strong command of database design and data warehouse principles, including modelling for scale and performance.
Proven experience designing and delivering data integration and ETL/ELT processes.
Expert-level data manipulation, data cleansing and transformation techniques.
Strong knowledge of data governance and best practices in data management.
Proven ability to work with large datasets and perform data mining at scale.
Track record of leading complex, client-facing data projects from design through to delivery.
Demonstrated ability to lead technical decision making and influence senior stakeholders.
Proven ability to mentor others and raise team capability.
Continuous improvement mindset for self and team.
Ability to work collaboratively in a cross-functional team environment.
Strong computer skills, including proficiency in Microsoft Office.
Excellent attention to detail and strong documentation skills.
Outstanding verbal and written communication skills, including presenting to clients and leadership.
Strong organisational and interpersonal skills.
Exceptional problem-solving abilities, with the ability to resolve ambiguous, complex issues independently.
Education and Experience
Bachelor's degree in data analytics, statistics, accounting, computer science, or a related discipline (advanced degree desirable).
7+ years of relevant experience in data analytics, reporting and visualisation, including experience in a senior or lead capacity.
