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- Tasks: Lead data governance practices in Agile teams within the banking sector.
- Company: Dynamic financial institution focused on innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data governance in a fast-paced environment.
- Qualifications: Expertise in data architecture, governance, and compliance required.
- Other info: Join a team committed to continuous improvement and data excellence.
The predicted salary is between 60000 - 84000 £ per year.
In order to make an application, simply read through the following job description and make sure to attach relevant documents.
Location: Bromley, UK
Job Type: Hybrid (3 Days/Onsite)
The Data Domain Governance Lead is responsible for embedding robust data governance practices across Agile delivery teams within the banking domain. Operating within a SAFe Agile framework, this role ensures that data standards, models, lineage, privacy, and controls are consistently applied across delivery pipelines. The successful candidate will bring deep expertise in data architecture, metadata management, privacy compliance, and data quality, enabling scalable and audit-ready data ecosystems.
Key Responsibilities:- Portfolio & Program Alignment
- Ensure governance guardrails are considered during PI Planning and reflected in Agile Features.
- Act as a System Architect and Shared Services SME to support Agile Release Trains (ARTs) in embedding governance principles.
- Provide expert guidance to Agile Teams on integrating data governance into delivery workflows and feature design.
- Canonical Data Models & Standards
- Collaborate with Business and Source of Record (SOR) stakeholders to define and maintain domain-level canonical (conceptual) data models.
- Review metadata/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics.
- Support Agile Teams in applying consistent data modelling practices and semantic layer alignment.
- Data Quality & Controls
- Translate EDM policies into domain-specific rules and acceptance criteria.
- Partner with delivery teams to embed automated data quality checks and validation rules into data pipelines.
- Ensure Features include required data quality controls; contribute to Definition of Done and acceptance criteria.
- Metadata, Lineage & Privacy Governance
- Guide Agile Teams in embedding lineage capture and metadata tagging within delivery pipelines using modern tooling (e.g., Collibra, Informatica, Alation).
- Ensure consistent application of metadata standards and lineage tracking across domains.
- Oversee PII and sensitive data classification, labelling, and handling in accordance with data privacy regulations.
- Define and enforce archival and retention policies for domain data assets, ensuring compliance and operational efficiency.
- Audit Insights & Continuous Improvement
- Analyse audit findings and feedback to identify gaps and improvement opportunities in data governance practices.
- Strengthen domain-level data controls and quality frameworks based on audit insights.
- Strong understanding of Treasury and/or Corporate Banking domains, including products, processes, and regulatory requirements.
- Advanced data modelling expertise, including:
- Designing conceptual, logical, and physical models for complex financial domains.
- Applying semantic modelling for BI and analytics.
- Knowledge of normalization, denormalization, and performance optimization.
- Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent.
- Experience implementing industry-standard data governance frameworks such as DAMA-DMBOK, DCAM, and COBIT.
- Experience in large-scale financial institutions or treasury functions.
- Knowledge of data vault modelling and graph modelling for advanced use cases.
- Familiarity with data observability tools and practices to monitor data health, lineage, and reliability across pipelines.
Data Domain Governance Lead in Bickley employer: Ascendion
Contact Detail:
Ascendion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Domain Governance Lead in Bickley
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Domain Governance Lead role.
✨Tip Number 2
Prepare for those interviews by brushing up on your knowledge of data governance and Agile practices. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your expertise in data architecture and compliance.
✨Tip Number 3
Showcase your skills through real-world examples. When you get the chance to interview, be ready to share specific instances where you’ve successfully implemented data quality controls or collaborated with Agile teams. We want to see how you’ve made an impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Domain Governance Lead in Bickley
Some tips for your application 🫡
Read the Job Description Carefully: Before you start your application, take a good look at the job description. Make sure you understand what we're looking for in a Data Domain Governance Lead and how your skills align with our needs.
Tailor Your CV and Cover Letter: Don’t just send us your standard CV! Tailor it to highlight your experience in data governance, Agile methodologies, and any relevant banking knowledge. Show us why you're the perfect fit for this role!
Showcase Relevant Experience: When writing your application, be sure to include specific examples of your past work that relate to the responsibilities listed. We want to see how you've successfully implemented data governance practices in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us!
How to prepare for a job interview at Ascendion
✨Know Your Data Governance Inside Out
Make sure you brush up on your knowledge of data governance frameworks like DAMA-DMBOK and DCAM. Be ready to discuss how you've applied these in previous roles, especially in the banking domain. This will show that you’re not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Technical Skills
Prepare to talk about your hands-on experience with data modelling tools like ERwin or PowerDesigner. Have examples ready that demonstrate your ability to design complex data models and apply semantic modelling for BI and analytics. This will highlight your technical expertise and relevance to the role.
✨Understand Agile Methodologies
Since this role operates within a SAFe Agile framework, be prepared to discuss how you've embedded governance principles in Agile delivery teams. Share specific instances where you’ve collaborated with Agile Teams to integrate data governance into their workflows, showcasing your adaptability and teamwork.
✨Be Ready for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data quality controls or metadata management. Think through potential scenarios beforehand and how you would approach them. This will demonstrate your critical thinking skills and your ability to apply your knowledge in real-world situations.
