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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 analytics.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data strategy and make a real impact on global risk management.
- 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 48000 - 72000 £ 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.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at Moody's. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching Moody's values and mission. Show us how your experience aligns with our goal of decoding risk and unlocking opportunities.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in data strategy can drive innovation and operational excellence at Moody's. Confidence is key!
✨Tip Number 4
Don't hesitate to apply through our website, even if you don't tick every box. We value diverse perspectives and might see something special in your application!
We think you need these skills to ace Director - Data Strategy in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data strategy shine through! Share specific examples of how you've tackled data challenges in the past and how you envision contributing to Moody's mission of decoding risk.
Tailor Your Experience: Make sure to align your experience with the key responsibilities outlined in the job description. Highlight your expertise in data governance, product management, and collaboration with cross-functional teams to show us you're the perfect fit!
Be Clear and Concise: We love a well-structured application! Use clear language and bullet points where possible to make your achievements stand out. Remember, we want to see how you can communicate complex ideas simply, especially since you'll be engaging with executive-level stakeholders.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team at Moody's!
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 aligned with business goals, especially in complex environments.
✨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 ability to think outside the box and drive value.
✨Communicate Clearly and Confidently
Exceptional communication skills are a must for this role. Practice articulating complex technical concepts in simple terms. Think about how you would explain your data strategies to non-technical stakeholders, ensuring clarity and engagement.
✨Emphasise Collaboration and Leadership
This position requires working closely with cross-functional teams. Be prepared to discuss how you've successfully collaborated with product, engineering, and business teams in the past. Highlight your leadership style and how you champion diverse perspectives to drive data-centric product development.
