Manager Data Analyst

Key Responsibilities

In the role, you will:

Support roadmap definition and backlog management for investment data capabilities supporting Research & Sustainability workflows, including analytics and AI-enabled solutions.

Partner with Portfolio Managers, Research Analysts, Sustainability teams and senior stakeholders to identify opportunities and define data requirements that improve investment decision-making, research productivity and workflow efficiency.

Analyse existing data sources and identify opportunities for rationalisation, standardisation and reuse across investment products and front-office workflows.

Guide development of conceptual and logical data models, attribute-level data requirements, business glossaries and canonical data definitions supporting investment platforms.

Define end-to-end data lineage from source systems and Data Products through to consuming applications.

Partner with Enterprise Data, Snowflake, Data Marketplace and Data Product teams to define, onboard and drive adoption of governed Data Products across Research & Sustainability.

Define business ownership, stewardship, data quality and metadata requirements, ensuring alignment with enterprise governance, security, privacy and regulatory standards.

Work closely with Product Owners, Architects, Data Engineers and business stakeholders to translate complex investment requirements into scalable, governed and reusable data solutions.

About you

With a solid background in the analysis, design and implementation of complex investment management technology solutions, you’re the specialist we need. You bring:

7+ years' experience delivering technology, data, product or transformation initiatives within Investment Management.

Proven experience delivering complex front-office data or technology solutions from discovery through implementation.

Strong experience in data analysis/modelling, business metadata and canonical data definitions.

Experience defining requirements for and working with enterprise Data Products and modern data platforms such as Snowflake.

Proven experience working with enterprise data platforms such as Snowflake, including leading large-scale data modernization and migration initiatives from legacy data warehouses, on-premises systems and fragmented data ecosystems to a scalable cloud-based data platform.

Experience with data catalogues such as Collibra, Alation or Purview (if applicable).

Experience working with cloud-native data platforms and modern ELT pipelines.

Ability to translate complex business problems into scalable data requirements.

Understanding of AI-ready data architecture and semantic data models.

Good understanding of sustainability and stewardship processes, including ESG research, proxy voting, sustainable investing regulations (e.g. SFDR, SDR) and ESG reporting.

Strong stakeholder management and communication skills, with the ability to work effectively across business and technology teams.

Understanding of modern data engineering concepts including ELT/ETL, incremental processing, data pipelines, data contracts, observability and data testing.

You'll play a key role in shaping the next generation of investment management capabilities by combining business analysis, investment domain expertise and technology innovation. Working with colleagues across multiple regions and asset classes, you'll help deliver solutions that enable better investment decisions, improve operational efficiency, and create long-term value for our clients.

Feel rewarded

For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com