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About the Role

Sky Data's vision is to enable Sky's growth ambitions through Data and AI, deepening customer relationships, optimizing commercial performance, and enhancing operational efficiency. Sky Data brings together data and analytics capabilities to support Sky and OTT businesses across Europe, ensuring data is safe, trusted, and usable. We partner with business teams to create innovative data products that improve Sky and bring value to customers. Our mission is expanding to unlock further value from unstructured data while managing new data and information risks presented by AI.

Responsibilities

Lead Data & Information Risk Management within key business domain areas, acting as a business risk partner for Data & Information.
Identify, Assess and Drive Risk Mitigation for data and information collection, storage, use, sharing, and disposal.
Take a lead role in identifying risks posed by AI use cases and driving appropriate mitigation through controls.
Design and Implement Risk Management Frameworks to proactively manage and report across data and information risks.
Drive Assurance of Data and Information Controls by partnering with System Owners, Data Owners, and Stewards.
Provide assurance and oversight on the effectiveness of implemented controls.
Partner With and Influence Cross-Functional teams to align on data and information risk best practices.
Collaborate across cross-functional teams to ensure a holistic risk management approach.
Own Monitoring and Reporting of Data & Information Risks to governance committees and executive forums.
Present recommendations on addressing data and information risks.
Promote Risk Awareness across Sky Group.
Stay informed about market trends and emerging technologies in risk management.
Actively contribute to data innovation within Sky Group.

Requirements

Strong Data Risk & Regulatory Expertise with good working knowledge of data protection, data privacy, information security, and AI regulations (e.g., UK GDPR, DPA 2018, EU AI Act, NIS, PECR).
Experience translating regulatory requirements into practical control frameworks.
Ability to assess data lifecycle risks across complex enterprise environments.
Enterprise Risk Management Know How, including designing, implementing, and monitoring risk and control frameworks (e.g., three lines model).
Proven ability to conduct risk assessments, define risk appetite, drive control design & implementation, and report at executive/board level.
Evidence of relevant audit and/or risk qualification(s).
Strategic Data Risk and Technical Acumen, with the ability to anticipate emerging risks (e.g., AI governance, data ethics, cross-border data flows).
Solid understanding of modern data ecosystems such as cloud data platforms, AI/ML, and third-party data sharing.
Business Partner & Senior Stakeholder Influence, with the ability to build trust and lasting relationships with senior and executive stakeholders.
Ability to influence and challenge senior stakeholders.
Experience driving and influencing cross-functional teams and uniting people across all business levels.
Results Driven Track Record with strong expertise in data & information risk management and data governance.
Strong track record of successfully initiating, delivering, and maintaining data risk management initiatives.
Strong communication skills to effectively distill complex data risk topics into clear narratives for all stakeholder levels, including executive audiences.
Independent Operator & Comfortable in Matrix Structure, with proven experience in autonomously implementing data and information risk initiatives in large complex organizations.
Comfortable operating without a direct team or direct reports.
Able to operate in complex organizations with matrix reporting and working structures.
Credible leader with strong values, impeccable integrity, and an instinct for making sound decisions.
Impressive record in defining and implementing best-in-class data risk frameworks.
Programmatic Excellence with a strong background in program management for data-centric initiatives, utilizing both agile and non-agile delivery practices.
Proficient in running and supporting executive steering groups.

Skills

Data Risk Management
Information Security
AI Regulations
Data Protection
Data Privacy
UK GDPR
DPA 2018
EU AI Act
NIS
PECR
Risk Assessment
Control Frameworks
Data Lifecycle Risk Assessment
Enterprise Risk Management
Risk Appetite Definition
Control Design
Control Implementation
Executive Reporting
Audit
Risk Qualification
Emerging Risk Anticipation
AI Governance
Data Ethics
Cross-border Data Flows
Cloud Data Platforms
AI/ML
Third-party Data Sharing
Stakeholder Influence
Cross-functional Team Collaboration
Communication Skills
Data Governance
Program Management
Agile Delivery
Non-Agile Delivery
Executive Steering Group Management

Location

London
Scotland
Milan
Munich
Chennai

Work Type

Hybrid Working
3 days onsite per week

Experience Level

Senior
Leader

Education Level

Relevant audit and/or risk qualification(s)

Benefits

Sky Q
Sky Glass at an exclusive rate
Generous pension package
Private healthcare
Discounted mobile and broadband
Wide range of Sky VIP rewards and experiences

About the Company

Working in Tech, Product or Data at Sky is about building the next and the new.
From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still.
We optimise and innovate.
We turn big ideas into the products, content and services millions of people love.
We believe in better. And we make it happen.
Better content. Better products. And better careers.
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky.
It’s a place where you can explore what if, how far, and what next.
We embrace each other’s differences.
We support our community and contribute to a sustainable future for our business and the planet.

Equal Opportunity

We are a Disability Confident Employer, and welcome and encourage applications from all candidates.
We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate.
Please flag any adjustments you need to your recruiter as early as you can.