At a Glance
- Tasks: Lead data partnerships and drive innovative strategies for AI-driven insights.
- Company: Join Moody's, a global leader in risk assessment and an inclusive employer.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Dynamic team focused on enhancing data quality and driving sustainable growth.
- Why this job: Make a real impact by transforming how the world sees risk with cutting-edge data solutions.
- Qualifications: 10+ years in data sourcing, strong negotiation skills, and a passion for AI.
The predicted salary is between 63000 - 77000 £ per year.
This job is with Moody's, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community.
Please do not contact the recruiter directly.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities.
We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
Moody’s is transforming how the world sees risk.
As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it.
We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply!
You still may be a great fit for this role or other open roles.
We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
- 10+ years of experience in data sourcing, data partnerships, vendor management, or a closely related field within the data, analytics, or technology sector
- Proven experience leading complex commercial negotiations and managing high value supplier portfolios.
- Strong understanding of diverse data types (company, financial, alternative, news, structured/unstructured) and their application across analytical, AI, and commercial use cases
- Demonstrated ability to synthesise market intelligence and translate it into actionable sourcing and product strategies
- Exceptional stakeholder and relationship management skills across global, cross functional environments
- Strong analytical mindset with the ability to conduct commercially grounded build vs buy vs license analyses
- Excellent communication, presentation, and executive level influencing skills
- High degree of initiative, independence, and problem solving capability
- Experience in EMEA, APAC or Americas company data markets
- Familiarity with Gen AI driven data requirements and metadata rich data pipelines
- Additional languages beyond English is preferred
- Willingness to undertake occasional business travel
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
- Master’s degree or relevant professional certifications.
Support and execute on multi year data acquisition strategies aligned to Moody’s growth priorities and Gen AI roadmap
- Capture and synthesise the “voice of the customer” from internal clients, commercial teams, and external market feedback
- Monitor global and regional market trends, emerging data categories, competitive landscapes, regulatory developments, and evolving IP ecosystems
- Conduct build vs. buy vs. license analyses
- Identify and evaluate new data sources that strengthen Moody’s product differentiation and market leadership
- Lead and expand a portfolio of global information providers, ensuring resilience, quality, and scalability of Moody’s data supply
- Conduct advanced IP performance assessments, manage remediation actions, and oversee resolution of contractual, service, or operational issues.
- Drive strategic expansions of key partnerships, including multi region coverage and multi product applicability
- Lead complex contract negotiations with new and existing IPs, optimising commercial terms, data rights, and risk controls
- Partner with Legal, Procurement, and Finance to maintain compliant, consistent, and scalable contracting practices.
- Provide strategic guidance and subject matter expertise to product, engineering, sales, and other key stakeholders as it relates to the data to be considered for product development
- Prepare and deliver internal communications, executive updates, and client ready collateral on data sourcing initiatives
- Drive continuous improvement in data acquisition workflows, contract management processes, and vendor performance frameworks
- Ensure Moody’s data supply is ready for Gen AI driven use cases, including enhanced data quality and metadata transparency.
- Manage multiple parallel initiatives, ensuring timely execution under tight deadlines
At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions.
Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers.
We are committed to ensuring our data is ready for an expanding set of Gen AI use cases and maintaining tight alignment with the teams we support.
We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.
Moody’s is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position.
Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Director - Data Partnerships employer: Moody's
Moody's is an exceptional employer that fosters an inclusive and innovative work culture, where every employee is encouraged to express their ideas and contribute to meaningful projects. With a strong focus on professional growth, employees have access to diverse training opportunities and the chance to work alongside industry leaders in catastrophe risk management. Located in a vibrant environment, Moody's not only prioritises employee well-being but also champions diversity, making it a rewarding place for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Director - Data Partnerships
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Moody's!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Director - Data Partnerships at Moody's.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Moody's.
✨Apply Directly through Our Website
When you find a suitable opening like Director - Data Partnerships at Moody's, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Director - Data Partnerships
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Moody's, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Moody's. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Moody's
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Moody's!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
