National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Director, Data & Privacy (Basé à London)

Jobleads
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (NLP & ML)

Graduate/Trainee Recruitment Consultant

Senior Marketing Data Scientist - Strategic Growth Partner

Data Analyst

Data Engineer

Data Engineer

About the Role:

Grade Level (for internal use):13

The Team:

The Digital & Program Excellence team is part of the Customer Experience team at S&P Global Commodity Insight. We enable the business to achieve efficiencies, optimize processes, increase customer satisfaction and attract new clients through technology transformation. We work within the agile framework to prioritize, plan and oversee the delivery of strategic internal tools and technology. We work with employees around the globe and at all levels of the business and offer innovation and efficiencies on internal technologies, including but not limited to Salesforce and Marketo. We are a growing team with many senior associates that can provide on-the-job training and mentoring.

Responsibilities and Impact:

We are seeking a highly skilled and strategic Director of Data & Privacy to lead our data governance and privacy initiatives. This role is crucial for ensuring that our data management practices align with corporate objectives while adhering to privacy regulations. The ideal candidate will possess a deep understanding of data strategy, data integrity, and privacy compliance, with a proven ability to implement scalable solutions that enhance our technology ecosystem. Key responsibilities include:

  • Develop and implement proactive strategies to prevent the entry of bad data into internal technologies, ensuring high data quality and integrity.
  • Design and execute a comprehensive data strategy at scale that facilitates seamless integration between various technologies within the technology ecosystem.
  • Develop data strategies that ensure scalability and compatibility with other divisions and enterprise teams, fostering collaboration and data sharing across departments.
  • Serve as the primary representative for CI data in major projects, including but not limited to Project Compass (customer success and community platforms) and Project Armadillo (Salesforce CPQ), ensuring that data considerations are prioritized and integrated into project planning and execution.
  • Work closely with legal and compliance teams to develop policies and procedures that safeguard sensitive data and promote a culture of privacy within the organization.
  • Collaborate with project managers and stakeholders to align project objectives with data strategy and privacy guidelines.
  • Establish key performance indicators (KPIs) to measure the effectiveness of data strategies and privacy compliance initiatives. Prepare and present regular reports to senior management on data quality, privacy compliance, and the data status of ongoing projects.

What We’re Looking For:

Basic Required Qualifications:

  • 8+ years of experience in data management, data governance, or data privacy roles, with a minimum of 5 years in a leadership position.
  • Strong knowledge of data privacy regulations and best practices.
  • Proven experience in developing and implementing data strategies that drive business outcomes.
  • Exceptional communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders.

Additional Preferred Qualifications:

  • Salesforce experience preferred.
  • CDMP or related certifications preferred.
  • Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field; Master’s degree preferred.

About S&P Global Commodity Insights:

At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.

S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

What’s In It For You?

Our Purpose:Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our People:We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

Our Values:Integrity, Discovery, Partnership

Benefits:

  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Inclusive Hiring and Opportunity at S&P Global:At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions.

Equal Opportunity Employer:S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.

US Candidates Only:The EEO is the Law Poster describes discrimination protections under federal law.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.