At a Glance
- Tasks: Lead a dynamic team to enhance data quality and drive strategic change.
- Company: Join Standard Life, a leader in retirement savings with a customer-first approach.
- Benefits: Enjoy a competitive salary, generous leave, and flexible working options.
- Other info: Embrace a culture of curiosity and accountability with excellent career growth opportunities.
- Why this job: Make a real impact on investment data processes in a supportive environment.
- Qualifications: Experience in data management and strong leadership skills required.
The predicted salary is between 75000 - 75000 £ per year.
Here at Standard Life, we guide millions of people through some of life’s biggest decisions. We’re searching for a Data Management Manager who shares our commitment to putting customers first, aiming high and working together to join the Data Management team.
Job Type: Permanent
Location: This role could be based from either our Telford or Edinburgh offices with time spent working from home and from the office (3 days) with travel between offices.
Flexible working: All roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process.
Salary and benefits: From £75,000 (subject to experience) plus bonus, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more.
Who are we? We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.
The Team: Data Management is a critical control function within Capital Markets Operations, ensuring the integrity, accuracy, and timeliness of investment data that underpins Standard Life’s Asset Management activities. The team provides comprehensive oversight of static, reference, and operational investment data, enabling robust governance, effective risk management, and data support across the full investment lifecycle.
The role: As Data Management Manager, you will provide leadership, subject matter expertise, and strategic direction across operational data processes. Operating in a dynamic and evolving environment, you will challenge and enhance existing workflows, shape future state processes, and guide the team through significant change— including significant transition activity and key strategic change/deliveries. The role demands strong operational judgement, an analytical mindset, and the ability to influence stakeholders to drive continuous improvement, strengthen controls, and support the organisation’s broader RS&AM strategy.
- Lead a high performing team of Data Management Specialists and Analysts to ensure high levels of data quality, deliver strategic data change and provide excellent service.
- Monitor, track and develop KPIs to ensure consistently high Data Quality across Capital Market Investment Data, and problem areas are targeted and resolved.
- Support the effective roll out and utilisation out of key strategic platforms; including Aladdin, Snowflake and Marketplace.
- Provide Subject Matter expertise on data, and how it should be best utilised to support Asset Management’s use of the platform for portfolio monitoring, analysis and trading.
- Oversee effective recruitment and training within the team as required.
- Lead stakeholder management to enable, maintain and enhance the necessary control environment through data quality checks; including but not limited to Front Office teams, Quants, Risk and IT.
- Work closely with internal stakeholders to drive education of the purpose and capability of the Asset Management Back Office.
- Risk and Control; ensure the team adheres to processes and procedures to maintain consistently high standards within the risk and control space. Drive remediation and improvement in process/control whilst managing any reporting involved.
What are we looking for?
- Strong experience within RS&AM Operations or a closely related investment operations environment.
- Demonstrable expertise in managing, controlling, and enhancing investment data processes—static data, reference data, instrument setup, market data, pricing, and data quality remediation.
- Managerial experience leading and developing teams in a data operations or investment operations setting.
- Evidence of managing change—supporting system implementations, transitions, new product launches, operating model redesign.
- Proven experience with front to back data flows and key Asset Management systems (e.g., Aladdin, Snowflake, OMS/EMS/data platforms).
- Strong stakeholder management experience, including Front Office, Risk, Technology, and external service providers (custodians, data vendors, asset managers).
We want to hire the whole version of you. We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you. If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best. We’re reviewing applications as they come in, so apply early to avoid missing out.
Data Management Manager, RS&AM in Edinburgh employer: Phoenix Group
At Standard Life, we pride ourselves on being an exceptional employer that values flexibility, collaboration, and personal growth. With a commitment to putting customers first, our work culture fosters innovation and accountability, while offering generous benefits such as 38 days of annual leave, private medical cover, and opportunities for career development. Whether based in Telford or Edinburgh, our employees enjoy a supportive environment that encourages them to thrive both professionally and personally.
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We think you need these skills to ace Data Management Manager, RS&AM in Edinburgh
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