Senior Director Head of Data Governance & Strategy

News Corp.
London
1 month ago
Applications closed

Related Jobs

View all jobs

Head of People and Culture

Senior Analyst & Data Specialist

Senior Data Analyst

Head of Data Engineering - Product & Plan for Better

Head of Data Engineering - Product & Plan for Better (Basé à London)

Head of Data Engineering - Product & Plan for Better

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets

Job Description :

Job Title: Head of Data Governance & Strategy
Reporting To: Chief Data Officer (CDO)
Role Overview:

The Head of Data Governance & Strategy will be a strategic leader within the office of the Chief Data Officer, shaping the direction of our data roadmap and guiding its adoption across multiple businesses and subsidiaries. This role is not only about setting direction for data architecture, governance (including AI governance), and advanced analytics—equally critical is ensuring buy-in, understanding, and collaboration with diverse stakeholders throughout the wider global organization. You will work closely with business leaders to understand their unique data challenges, align their needs with the corporate data strategy, and ensure that data initiatives are well-received, integrated, and effectively utilized at the business unit level.

While implementation teams within the CDO organization will execute on data mesh, governance frameworks, and other operational elements, you will focus on stakeholder alignment, strategic planning, and ensuring that the broader data vision resonates across the enterprise. Your success will be measured by how effectively the businesses embrace and leverage data-driven insights, leading to more informed decisions, operational efficiencies, and new growth opportunities.


Key Responsibilities:
Data Strategy & Road mapping:

  1. Collaborate with the CDO and executive stakeholders to define and refine the enterprise data strategy, ensuring it aligns with overall business objectives.
  2. Develop and maintain a multi-year roadmap that clearly communicates priorities, initiatives, and expected outcomes to business units and subsidiaries.

Stakeholder Alignment & Change Management:

  1. Engage deeply with business unit stakeholders to understand their data-related needs, challenges, and perspectives.
  2. Translate these insights into actionable plans and influence the central data roadmap to ensure it delivers practical, value-adding solutions at the local level.
  3. Lead the change management efforts for new data initiatives, communicating benefits, setting expectations, and building trust to drive broad acceptance and adoption.

Data Governance & Privacy (Oversight and Alignment):

  1. Work closely with the data governance and privacy teams within the CDO's organization to ensure their policies, frameworks, and compliance measures are communicated effectively to business leaders.
  2. Serve as a liaison between governance experts and business units, making sure each side understands the other's requirements and constraints, and helping to embed governance practices into everyday operations.
  3. Specific ownership of AI Governance & Oversight as a key leader in the AI Steering Committee. Focusing on enabling News Corp's strategic goals through AI in a safe, responsible and ethical manner.

Data Mesh & Architectural Alignment (Strategic Guidance):

  1. Collaborate with the architectural and analytics engineering teams implementing the data mesh architecture to ensure alignment with business stakeholder requirements.
  2. Articulate the benefits and rationale of data mesh initiatives to business leaders, reinforcing the value of decentralized data ownership and improved data interoperability.

Generative AI & Emerging Technologies (Strategic Evaluation):

  1. Partner with internal AI specialists and innovation teams to evaluate and prioritize Gen AI proof-of-concepts (PoCs) and vendor solutions.
  2. Communicate the potential business impact of Gen AI initiatives, manage stakeholder expectations around risk, governance, and ethical considerations, and ensure that projects are aligned with business unit needs and readiness.

Cross-Functional Collaboration & Culture Building:

  1. Foster a data-driven culture by promoting data literacy, self-service analytics, and responsible data usage across the conglomerate.
  2. Act as a connector and facilitator, breaking down silos and bridging gaps between technical teams, operational teams, and business stakeholders, ensuring a shared understanding of goals and outcomes.

Qualifications & Experience:

  1. Education: Bachelor's degree in Business Administration, Data Science, Information Systems, or related field; Master's degree preferred.
  2. Experience:
    1. 10+ years in data strategy, data management, or related fields.
    2. Demonstrable success in leading large-scale, enterprise-level data initiatives and collaborating with diverse, decentralized stakeholders.
    3. Strong track record of driving change management and building consensus across complex organizational structures.
  3. Technical & Business Acumen:
    1. Understanding of modern data architectures (e.g., data mesh, data lakehouse) and governance frameworks, even if not directly implementing them.
    2. Familiarity with emerging AI/ML and Gen AI technologies and their strategic business applications.
  4. Leadership & Soft Skills:
    1. Exceptional communication, negotiation, and relationship-building skills; adept at translating technical concepts into business value.
    2. Strategic thinker with the ability to manage ambiguity and influence without direct authority.
    3. Skilled at balancing long-term vision with short-term deliverables and benefits.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.