Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
About the role
- Data Manager leading data governance, protection, and compliance at Amplifi Capital. Ensuring data practices meet regulatory expectations while supporting consumer lending activities.
Responsibilities
- Develop, implement, and maintain robust data governance policies covering data quality, accuracy, integrity, retention, classification, and secure processing.
- Design and oversee secure, scalable data architectures and integrations, ensuring all systems meet FCA expectations for operational resilience, information security, and consumer protection.
- Strengthen and monitor data security controls, including access management, encryption, data minimisation, and incident‑response processes.
- Manage end‑to‑end data lifecycle processes, including data lineage, audit trails, change control, and regulatory reporting requirements.
- Ensure MI, dashboards, and operational reporting are accurate, accessible, and aligned with Consumer Duty monitoring obligations.
- Implement and oversee key KPIs and metrics for data quality, security, governance compliance, and business impact.
- Serve as the primary liaison between the DPO, Legal, Compliance, Technology, and business teams, ensuring data initiatives meet regulatory, contractual, and operational requirements.
- Support FCA‑related audits, reviews, and reporting by providing evidence, documentation, and subject‑matter expertise on data controls.
- Own data‑related risk assessments, ensuring risks are identified, documented, mitigated, and escalated appropriately.
- Drive data protection focused processes and provide guidance across the organisation, helping teams understand regulatory expectations and make informed, compliant use of data.
- Oversee the delivery of data pipelines, integrations, and solutions, ensuring they remain compliant, secure, and fit for purpose.
- Lead enhancements to data systems and processes as part of ongoing digital transformation and continuous improvement.
- Manage third‑party data vendors, ensuring due diligence, ongoing monitoring, and contractual compliance with regulatory and security standards.
- Champion a culture of data responsibility and ethical use, ensuring customer outcomes, fairness, and transparency are at the centre of all data practices.
Requirements
- Proven experience in data management or data governance roles within financial services, consumer lending, or fintech environments.
- Strong knowledge of data architecture, data modelling, system integration, and enterprise‑level governance frameworks.
- Practical experience producing dashboards, management information, and regulatory‑aligned operational reporting.
- Ability to influence stakeholders at all levels and translate regulatory, legal, and business needs into effective data solutions.
- Deep understanding of UK GDPR, Data Protection Act 2018, and FCA regulatory expectations relating to data, operational resilience, and Consumer Duty.
- Degree in Risk/Compliance, Privacy, Information Management, or a related discipline (or equivalent experience).
- Experience working with cloud platforms such as Azure, AWS, or equivalent, and knowledge of data architectures and security best practices.
- Familiarity with data within regulated financial products such as credit risk, affordability, KYC/AML, customer outcomes, and lending journeys.
- Relevant data qualifications, such as DAMA, DCAM, CDMP, or certifications relating to data protection (e.g., CIPP/E, BSC Data Protection, ISO 27001 awareness), are an advantage but not essential.
- Experience working cross‑functionally with Legal, Compliance, Technology, and Product teams in a regulated environment.
Benefits
- Competitive salary
- 25 days annual leave
- Pension
- Life Insurance
- Private health insurance
- Subsidised gym membership
- Discount shopping.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Science and AI student engaged in data processing and management. Open to candidates in Germany, starting in 2026, with supportive environment for development.
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