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- Tasks: Lead data strategy and innovation to transform Moody's data assets and drive operational excellence.
- Company: Join Moody's, a global leader in risk assessment and data analytics.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of data strategy and AI at Moody's.
- Qualifications: 8+ years in data strategy with strong product management skills.
- Other info: Collaborative environment with a focus on diversity and integrity.
The predicted salary is between 36000 - 60000 £ per year.
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.
The Director of Data Strategy will be a key contributor responsible for defining and executing the vision for how Moody's Analytics transforms, governs, and delivers its core data assets. This role involves driving the strategy, innovation, and operational excellence of Moody's data product portfolio, collaborating with cross-functional teams, and ensuring the highest standards of data quality, scalability, and value delivery.
The successful candidate will bring deep expertise in data strategy, set best practices for data excellence, and champion a culture of data-centric product development that directly supports Moody's mission to decode risk and unlock opportunity.
Key Responsibilities- Strategy & Vision
- Data Strategy & Planning: Define and execute long-term strategic initiatives and a multi-year roadmap for Moody's data product portfolio, ensuring alignment with business goals and technology architecture.
- Innovation & AI: Identify and evaluate emerging technologies, including AI/ML capabilities, to enhance data assets, streamline delivery, and unlock new value for both internal and external stakeholders.
- Data Discovery: Partner with stakeholders to discover, evaluate, and onboard new data sources to expand the portfolio’s value and relevance for business needs.
- Portfolio Execution
- Data Product Requirements: Lead the creation and ownership of detailed data briefs and technical requirements to define and guide data querying, transformation, enrichment, and delivery processes.
- Data-Driven Decision-Making: Collaborate with business units to identify key performance indicators (KPIs) and develop data-driven frameworks for decision-making.
- Delivery Assurance: Collaborate with product, engineering, architecture, and application teams to ensure successful execution of data initiatives, meeting performance, scalability, and quality standards.
- Risk Management: Proactively identify and mitigate risks and dependencies across data product initiatives, ensuring transparency and clear escalation paths to senior leadership.
- Governance & Quality
- Data Governance: Advocate for and enforce rigorous standards of data quality, metadata management, data lineage, and compliance across the portfolio.
- Scalability & Architecture: Partner with Data Engineering and Data Architecture teams to ensure the data infrastructure is secure, scalable, and aligned with future business needs.
- Automation & Monitoring: Drive the adoption of automation and monitoring tools to enhance operational efficiency, reduce failure points, and optimize the end-to-end data lifecycle.
- Stakeholder Collaboration & Communication
- Executive Communication: Provide clear, concise updates on data product strategy, progress, and risks to senior and executive stakeholders.
- Cross-Functional Partnership: Collaborate closely with Product Strategy, Product, Engineering, QA, and Business teams to ensure seamless integration of data assets into delivery platforms.
- 8+ years of experience in Data Strategy, or related roles, with demonstrated expertise in defining and executing a multi-year product strategy for complex, large-scale data assets, preferably in a B2B or Enterprise environment.
- Strong understanding of modern product management and Agile methodologies (Scrum/Kanban) at a portfolio level.
- Deep expertise in understanding data content, data models, and data structures, with the ability to oversee and guide the design and optimization of data structures across the entire product portfolio to ensure scalability, usability, and alignment with business needs.
- Solid technical acumen, with experience overseeing data processing pipelines, data warehousing technologies (e.g., Snowflake, Redshift), and data governance tools.
- Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts to executive-level, non-technical audiences.
- Deep expertise in the Finance, Risk, or Regulatory sectors, with an understanding of the critical importance of data quality and timeliness in these domains.
- Bachelor’s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Finance, or Data Science). An MBA or Master’s degree is a plus.
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.
Director - Data Strategy employer: Moody's Investors Service
Contact Detail:
Moody's Investors Service Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director - Data Strategy
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and think about how you can contribute to their mission—this will help you stand out!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful—show them why you’re the perfect fit for the Director of Data Strategy.
✨Tip Number 4
Don’t hesitate to apply through our website, even if you don’t meet every requirement. We value diverse perspectives and you might just be the candidate we didn’t know we were looking for!
We think you need these skills to ace Director - Data Strategy
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight how your experience aligns with the role of Director - Data Strategy. Use keywords from the job description to show that you understand what Moody's is looking for.
Showcase Your Expertise: Don’t hold back on showcasing your deep expertise in data strategy! Share specific examples of how you've defined and executed successful data initiatives in the past, especially in a B2B or Enterprise environment.
Communicate Clearly: Remember, exceptional communication skills are key! When writing your application, aim for clarity and conciseness, especially when explaining complex technical concepts. This will help demonstrate your ability to communicate effectively with both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Moody's Investors Service
✨Know Your Data Strategy Inside Out
Before the interview, dive deep into your understanding of data strategy. Be ready to discuss how you've defined and executed multi-year product strategies in the past. Highlight specific examples where your strategic initiatives led to measurable outcomes.
✨Showcase Your Innovation Mindset
Moody's is all about innovation, especially with AI and emerging technologies. Prepare to share instances where you've identified new tech opportunities that enhanced data assets or streamlined processes. This will demonstrate your forward-thinking approach.
✨Communicate Clearly and Confidently
Given the need for executive communication, practice articulating complex data concepts in simple terms. Use examples from your experience to illustrate how you’ve communicated effectively with non-technical stakeholders, ensuring they understood the value of your data initiatives.
✨Emphasise Collaboration Skills
Collaboration is key at Moody's. Be prepared to discuss how you've worked with cross-functional teams in the past. Share specific examples of how you’ve partnered with product, engineering, and business units to drive successful data initiatives and ensure alignment with business goals.
