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- Tasks: Lead data strategy and innovation to transform Moody's core data assets.
- 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 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 43200 - 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. Ensure all requirements are aligned with business objectives, application needs, and end-user expectations, enabling the development of scalable, high-quality data products that deliver measurable value.
- 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.
Director - Data Strategy employer: LGBT Great
Contact Detail:
LGBT Great 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, especially those at Moody's. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by researching Moody's values and recent projects. Show us how your experience aligns with our mission to decode risk and unlock opportunity.
✨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 meet every requirement. We value diverse perspectives and you might just be the perfect fit!
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 complex environments.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. Remember, you want to communicate your ideas effectively to both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our team at Moody's!
How to prepare for a job interview at LGBT Great
✨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 vision 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
Exceptional communication skills are a must for this role. Practice articulating complex data concepts in simple terms. Think about how you can explain your previous projects to non-technical stakeholders, as this will be crucial in your discussions.
✨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 units in the past. Share examples of how you’ve led teams to achieve common goals while championing diverse perspectives.
