We are seeking an experienced Investment Data Manager to lead a high-performing team of DataOps Analysts and play a pivotal role in shaping how investment data is processed, governed, prioritised, and delivered across the business. In this role, you will sit at the centre of our data governance framework and own the end-to-end coordination of the Investment Data Working Group (IDWG) on behalf of the Head of Data Governance. You’ll bring structure, clarity, and focus to key data initiatives, ensuring alignment with business priorities and driving meaningful outcomes.
Responsibilities:
Manage a team of DataOps Analysts.
Act as a key operational link between Investments, Finance, and the Data Office, ensuring alignment and effective collaboration
Drive continuous improvement and automation across investment data management practices
Support Data Owners and Stewards in managing, defining, and maintaining high-quality data as part of BAU
Partner with IT and external providers to deliver and manage scalable investment data products
Contribute to the design and delivery of Investment data products led by the Data Office
Strengthen and enhance data quality frameworks to maintain trust in data used across Investments and Finance
Maintain robust IDWG governance, including documentation, wiki management, meeting outputs, and action tracking to completion
Requirements
Strong track record of leading Data Analyst teams in Financial Services, with deep expertise in securities and asset data
Technical Attributes:
Strong industry expertise across market, pricing, custodial, and positional data, including how it is used within Investments and Finance business functions.
Deep understanding of fixed income instruments, swaps, derivatives, and their associated data structures
Solid grounding in data governance frameworks, policies, and standards
Experience with investment platforms (e.g. Aladdin, Murex)
Familiarity with investment data management platforms such as Lusid, Markit EDM, Golden Source
Working knowledge of data governance and lineage tools (e.g. Solidatus, IDQ, Collibra)
High proficiency in data analysis and reporting tools, including SQL, Python, Excel, Power BI, Cognos, and data quality tooling
Personal Attributes:
Excellent stakeholder engagement skills, with the ability to build and maintain strong relationships across business and technology teams
Strong analytical capability, able to interpret large data sets, understand end-to-end processes, and identify root causes of data issues (including reviewing underlying code)
Highly effective at report writing, documentation, and presentations, tailoring outputs to suit different audiences
Benefits
In addition to a competitive base salary and the opportunity to participate in our annual, performance-related bonus plan, upon joining us here at Pension Insurance Corporation, you will get access to some great benefits, including private medical insurance, 28 days' annual leave (excluding bank holidays), a generous pension scheme and much more.
