Job Description
End Date: Tuesday 24 March 2026
Salary Range: £67,023 - £74,470
Flexible Working Options: Hybrid Working, Job Share
Job Title
Data Privacy & Risk Manager
Location
Bristol & Leeds
Hours
Full time
Working Pattern
Hybrid: at least two days per week, or 40% of time, at an office site.
Job Description Summary
We’re looking for a highly skilled analytical specialist to lead the data‑driven oversight approach within the Data Privacy, Retention & Records Management Risk team. This role will shape how we use analytics, metrics and data‑lifecycle‑based evaluation – including emerging AI‑enabled techniques – to oversee data management risks across the organisation. Working closely with Senior Managers and the Head of Function, you’ll define the analytical methods, tools and measurement techniques that underpin our oversight model. You’ll bring hands‑on data fluency, the ability to validate technical logic, and confidence in challenging engineering and analytical teams. A strong practical understanding of the full data lifecycle – from collection, use and transformation through to retention and deletion – is important, along with an interest in how emerging technologies such as AI influence data use, governance and risk. Regulatory and risk knowledge (e.g., GDPR, operational risk concepts) is desirable, but we expect this expertise to grow rapidly in role.
What You’ll Need
* Hands‑on understanding of data lifecycles: collection, use, ingestion, transformation, storage, access, retention and deletion.
* Ability to read, interpret and challenge code (e.g., SQL, Python) and assess analytical logic.
* Experience with data modelling, pipelines, extract, transform, load concepts and working with engineering teams.
* Proficiency with analytical tools (SQL, Python, Power BI, Tableau).
* Ability to build automated or reproducible analytical outputs.
* Understanding of metadata, data architecture concepts or AI/ML fundamentals.
Ways of Working
* Confident operating as the analytical lead within a senior team.
* Able to independently influence and challenge constructively.
* Strong communication skills, with the ability to simplify complex analytical or technical issues.
Additional Experience Useful
* Understanding of risk management, compliance or operational risk.
* Interest in developing strong knowledge of data privacy, the Data Use Act, emerging digital and data laws, and the wider regulatory frameworks that impact how data is handled.
* Demonstrated ability to learn complex theoretical frameworks quickly and apply them pragmatically.
* Familiarity with data protection principles (e.g., personal data, minimisation, retention).
* Exposure to DPIAs, privacy‑by‑design or related governance practices.
* Awareness of recordkeeping standards, retention schedules or legal hold processes.
Key Responsibilities
* Lead development of a precision‑driven, analytics‑based oversight model for data privacy, retention and records risks.
* Translate oversight questions into measurable indicators, diagnostics, and metrics.
* Identify process weaknesses, control gaps and emerging risks using robust analytical methods.
* Build reproducible reports, dashboards and analytical tools that deliver consistent, evidence‑based oversight.
* Apply deep understanding of data lifecycles to assess how controls operate in real systems and processes.
* Translate regulatory and policy requirements into measurable, testable, evidence‑backed controls.
* Evaluate control maturity and effectiveness through precise, data‑accurate techniques.
* Conduct oversight across retention and deletion controls, records classification and maintenance, metadata, lineage and lifecycle verification.
* Develop oversight routines focused on clarity, repeatability and high‑quality evidence.
* Partner with engineering, platform and architecture teams to ensure analytical methods and evidence genuinely enable effective challenge.
* Provide structured challenge and insight on data privacy, retention and records‑related risks.
* Produce high‑quality oversight outputs, including reports, summaries and committee materials.
* Support incidents and issues using a data‑driven diagnostic mindset.
* Apply developing regulatory and risk knowledge to contextualise findings.
* Work across Risk, Legal, Engineering, Data Architecture and Operations teams.
* Communicate analytical findings in clear, accessible language.
* Act as the lead for the team, improving analytical maturity and embedding a precision‑led oversight culture.
About This Opportunity
We’re a fast‑changing business that’s crafting finance as a force for good and empowering people to innovate, explore possibilities and grow with purpose.
Why Lloyds Banking Group
Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities.
About Working For Us
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments and a Disability Confident Leader status.
Benefits
* A generous pension contribution of up to 15%
* An annual performance‑related bonus
* Share schemes including free shares
* Benefits you can adapt to your lifestyle, such as discounted shopping
* 30 days’ holiday, with bank holidays on top
* A range of wellbeing initiatives and generous parental leave policies
We keep your data safe. We will only ask for confidential or sensitive information once you have been formally invited to an interview or accepted a verbal offer.
We’re focused on creating a values‑led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve.
If you’re excited by the thought of becoming part of our team, get in touch! We’d love to hear from you!
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