Commitment Control and Support Data Lead Analyst 2

Commitment Control and Support Data Lead Analyst 2

London, United Kingdom

Job Description

Who we're looking for

We are looking for a lead data analyst responsible for developing and optimising data driven controls and workflow automation that supports Platform Control and Support and the wider Investment Services Platform. You will combine people leadership, delivery ownership, and hands on technical capability to maximise business value, improve operational resilience, and enable scalable onboarding and mandate change delivery.

You will operate as a trusted partner to senior stakeholders across Investment, Operational Onboarding, Technology, Implementation, and platform operating model functions, ensuring priorities are clear, delivery is outcome led, and controls are robust.

What you'll do

• Provide visible leadership for the team: set direction, create clarity of purpose, and ensure the team's work aligns to broader commitment objectives.
• Local line management and coach team members: support in role development, performance management, capability uplift, and career progression in line with team goals and organisational needs.
• Own and continuously refine the team's goals, delivery roadmap, and backlog (epic and feature level), ensuring prioritisation is transparent and value driven.
• Maintain strong delivery governance: manage dependencies, risks, and issues; communicate progress effectively; and ensure decisions are documented and understood.
• Act as a key point of contact for a global stakeholder set including Investment, Operational Onboarding, Technology and Implementation teams.
• Partner with BRS and the Platform Operating Model Control and Support team to develop and optimise platform data and controls, enhancing workflows and functionality.
• Consult on and lead contributions to wider onboarding and change projects, ensuring commitment obligations are understood, deliverable, and integrated into platform delivery.
• Collaborate with investment desks and the Platform Operating Model Control and Support team to ensure delivery of investment commitments that is congruent with the Aladdin platform.
• Lead the design, implementation, and oversight of low code and coded workflows that automate operational deliveries, improve control effectiveness, and reduce manual effort.
• Be accountable for maximising business and customer value through delivery of workflows and data driven enhancements.
• Provide appropriate technical review and quality oversight across workflows (including design review, control design, monitoring, and operational support readiness).
• Identify and evaluate opportunities to leverage AI/LLMs to improve outcomes (e.g., documentation, triage, control evidence, insight generation), ensuring safe and controlled use.

The knowledge, experience, and qualifications you need

• Deep understanding of asset management operations and the onboarding lifecycle for new mandates and mandate changes. Strong understanding of Aladdin Investment Management software and the operational context of restriction monitoring.
• Strong technical skills with evidence of hands on delivery, including Python for data analysis and automation (e.g., pandas, ETL style scripting, API/file based integrations, reproducible notebooks/scripts). SQL (Microsoft SQL Server) for querying, data validation, reconciliation, root cause analysis, and supporting production grade reporting or controls. Practical experience designing and delivering low code workflows (and/or low code automation patterns), including oversight of build quality, test approach, and operational supportability.
• Understanding of how data and platform functionality can enable automation and strengthen investment restriction monitoring controls.
• Proven ability to lead delivery: manage priorities, dependencies, and stakeholder expectations to deliver outcomes.
• Demonstrable people leadership capability (line management, coaching, developing others, creating performance culture).
• Strong decision making using both qualitative and quantitative inputs; able to balance control, risk, and delivery pragmatism.
• Technical appreciation of modern software architecture and delivery models, including low code and coded platforms.

The knowledge, experience, and qualifications that will help

• Experience using Python for ad hoc advanced data analysis.
• Experience working with Alteryx and PowerBI.
• Experience with AI/LLMs and practical application to operational and delivery outcomes (within appropriate governance).
• Experience shaping or improving operating models, controls frameworks, or workflow automation in an investment operations context.
• Experience influencing across multiple teams without formal authority, including senior stakeholder engagement.
• Strong communication design: desire and ability to improve how information is communicated across teams and to build efficient processes for reliable delivery of information.

What you'll be like

• Shows initiative and thrives in a fast paced and time critical business environment.
• A critical thinker who's able to look at things from different angles.
• Comfortable facilitating and communicating using both business and technology terms.
• An inspiring and collaborative leader, role modelling good and positive leadership.
• Organised, have good time management skill and able to prioritise tasks given.
• Responsible, diligent, and willing to put in extra effort and hours to get things done.