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- Tasks: Lead a team to shape data strategy and governance in a dynamic asset management environment.
- Company: Join Harrington Starr, a key player in bridging Data & AI/ML talent with the financial sector.
- Benefits: Enjoy a competitive salary up to £160,000 plus bonuses and hybrid work options.
- Why this job: Be at the forefront of data innovation, driving impactful change in a global firm.
- Qualifications: Experience in data management, governance, and leadership is essential for this role.
- Other info: This is a fantastic opportunity to influence data culture and strategy in a leading company.
The predicted salary is between 96000 - 192000 £ per year.
This range is provided by Harrington Starr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Harrington Starr
Bridging the gap between Data & AI/ML Talent with clients in the Financial Sector | Harrington Starr
Head of Data Management | Asset Manager in London | Up to £160,000 basic + Bonus | Hybrid
My Asset Management client in London are seeking a Head of Data Management to help shape their Data & AI strategy across the business. They are an established player with over £60Billion AUM and offices across the globe.
You will be leading a team of 12 in London who are focused in Governance, Market Data and Operations, whilst working closely with the AI and Data Engineering teams. This a hybrid role requiring 2/3 days in the Central London office.
Key Responsibilities:
- Develop and execute the enterprise-wide data strategy aligned with AI and advanced analytics use cases.
- Partner with data science and business leaders to identify, enrich, and mobilize data assets for innovation.
- Promote enterprise-wide data discoverability and accessibility for ML/AI-driven insights.
Governance & Quality Control
- Design and implement data governance frameworks, policies, and quality standards.
- Oversee metadata, reference, and client/fund data management to support transparency and compliance.
Market Data Oversight
- Lead vendor management and integration for third-party market data (e.g., Bloomberg, MSCI, etc.).
- Align market data provisioning with front-office, research, and analytics requirements.
- Optimize licensing, budgeting, and compliance with vendor agreements.
Data Operations
- Direct daily data ingestion, transformation, validation, and reconciliation processes.
- Own security master data across all asset classes (equities, fixed income, alternatives, derivatives).
- Design and scale automated workflows ensuring accurate and timely delivery of mission-critical data.
- Shape a cloud-native, scalable data architecture to support analytics, AI, and reporting.
- Collaborate with engineering teams to maintain resilient, real-time data platforms.
- Enforce best practices for data storage, security, and access management.
Compliance & Risk
- Ensure global compliance with privacy and data protection regulations (e.g., GDPR, CCPA).
- Implement frameworks for ethical AI, anonymization, access control, and data retention.
- Represent data strategy during audits and regulatory reviews.
Leadership & Culture
- Lead and mentor a cross-functional team across governance, operations, and engineering.
- Cultivate a data-first culture through education, alignment, and evangelism.
- Serve as a strategic partner to senior leadership across investment, operations, compliance, and tech.
This is a huge opportunity and we are keen to begin interviews as soon as possible.
Apply today or get in touch with me for more info at
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Head of Data Management employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Management
✨Tip Number 1
Familiarise yourself with the latest trends in data management and AI/ML, especially within the financial sector. This knowledge will not only help you during interviews but also demonstrate your commitment to staying ahead in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the asset management industry, particularly those involved in data governance and operations. Attend relevant conferences or webinars to make connections and gain insights that could be beneficial during your application process.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully managed cross-functional teams in the past. Highlight specific examples where you've cultivated a data-first culture or implemented effective data governance frameworks.
✨Tip Number 4
Research the company’s current data strategy and any recent initiatives they’ve undertaken. Being able to speak knowledgeably about their operations and how you can contribute to their goals will set you apart from other candidates.
We think you need these skills to ace Head of Data Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management, governance, and AI strategy. Use specific examples that demonstrate your leadership skills and ability to manage teams effectively.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data management and how your vision aligns with the company's goals. Mention your experience with market data oversight and compliance, as these are key aspects of the role.
Showcase Your Achievements: Quantify your achievements in previous roles, such as improvements in data quality or successful implementation of data governance frameworks. This will help you stand out as a candidate who can deliver results.
Prepare for Interviews: Anticipate questions related to data strategy, governance, and team leadership. Be ready to discuss how you've handled challenges in past roles and how you would approach the responsibilities outlined in the job description.
How to prepare for a job interview at Harrington Starr
✨Understand the Data Landscape
Familiarise yourself with the current trends in data management, especially in the financial sector. Be prepared to discuss how you would align data strategies with AI and advanced analytics use cases.
✨Showcase Leadership Experience
Highlight your experience in leading cross-functional teams. Discuss specific examples of how you've cultivated a data-first culture and mentored team members in previous roles.
✨Prepare for Governance Questions
Expect questions about data governance frameworks and compliance regulations like GDPR. Be ready to explain how you would implement quality standards and ensure transparency in data management.
✨Demonstrate Vendor Management Skills
Since the role involves overseeing market data vendors, prepare to discuss your experience with vendor management and integration. Share examples of how you've optimised licensing and compliance in past positions.
