Data Operations Director - Manchester

The Director role is responsible for defining the collection strategy for new fundamental data sets needed across Fitch Group, and will work extensively with other Data Operations teams, Fitch Ratings analytical staff and Fitch Solutions Product Owners to assure the quality of the data collected and available to stakeholders. The role will be a critical component of the initiative to centralise, streamline and accelerate the capture/collection of fundamental data and alternative content sets. This role will be highly influential in helping to define the collection methodology, to ensure it meets the current and future needs of Fitch’s credit ratings analysts and product workflows.

What We Offer:

• This is a great opportunity to join a growing team responsible for all of Fitch’s fundamental data collection, supporting both Ratings and Solutions.
• Exposure to the latest technology, as processes are transformed to leverage AI/ML.
• Ability to influence the strategic vision for fundamental data extraction.
• Being part of a successful and diverse team.
• Hybrid working week scheme plus flexibility to work from a different location for up to four weeks a year.

We’ll Count on You To:

• Identify and evaluate sourcing options (internal/external) and extraction methods for alternative datasets (e.g., financials and beyond—such as covenants and firmographics), balancing coverage, quality, timeliness, and operational feasibility.
• Translate stakeholder needs into practical initiatives and collection methodologies, including defining requirements and success measures for new dataset onboarding.
• Lead experimentation to improve and modernise collection/extraction processes (including piloting new tools/approaches) and define the roadmap to operationalise successful changes at scale.
• Shape the business’s thinking on new developments and processes; create an environment where teams challenge existing ways of working constructively and propose better approaches.
• Define outcomes, targets, and success factors for new data initiatives; manage projects from start to finish.
• Develop long-term strategies and contingency plans; ensure initiatives and everyday work comply with Fitch’s internal policies and procedures.
• Provide guidance to others on prioritising tasks; manage resourcing and delivery to agreed timelines and SLAs (including monthly management reporting accuracy and quarterly results targets).
• Set standards for client service, maintain ownership of issues, and ensure high-quality work delivery.
• Communicate effectively with senior people throughout the business; build trust and respect in internal relationships and establish collaborative networks.
• Align the team’s strategic objectives with stakeholder needs, managing expectations and conflicts.
• Provide strong leadership and guidance; create a culture of empowerment, encouraging responsibility and initiative.
• Lead by example, collaborate inclusively, and resolve conflicts within the team.

What You Need to Have:

• Experience of working with fundamental data, in an accountancy, auditing, counterparty credit risk environment, with an understanding of IFRS, GAAP & wider accounting fundamental processes.
• Ability to lead pilots/experiments and drive adoption into BAU, including influencing stakeholders and guiding teams through change.
• Demonstrated experience assessing and onboarding new/alternative datasets (sourcing options, extraction approach, quality controls, and operational feasibility).
• Ability to work independently, whilst also being a strong leader with the ability to inspire others within a team environment.
• A CIMA, ACCA, ACA, CFA qualified, or part qualified candidate would be preferred.
• To be a self-starter who can pick up new processes quickly and accurately.

What Would Make You Stand Out:

• Attention to detail, with a highly organised and methodical approach to work.
• Prior experience working with offshore teams, and or leading/mentoring team members.
• Excellent stakeholder management, communication and interpersonal skills.
• Knowledge of AI/ML tools and their practical applications.
• Willing to learn, change and take on new things.