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For Companies At a Glance
- Tasks: Lead data governance initiatives and ensure compliance with data policies.
- Company: Join a dynamic organisation focused on data integrity and informed decision-making.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make a real impact on data management while collaborating with diverse teams.
- Qualifications: 7+ years in data roles, with 3 years in Data Governance; relevant degree required.
- Other info: Ideal for proactive individuals eager to drive improvements in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
The Senior Data Governance Analyst maintains a robust Data Governance framework within the organization through the execution of key data initiatives. This is a crucial role in safeguarding data integrity and helps facilitate informed decision-making through effective data management.
What you will be doing
- Data Policies and Standards: Collaborate with cross-functional teams to enforce data policies, standards, and procedures to govern data usage, access, and handling across the organization.
- Data Stewardship: Partner with data stewards who are responsible for data ownership, classification, and metadata management, ensuring compliance with regulatory requirements.
- Master Data Management (MDM): Ensure accountability for the implementation and maintenance of MDM processes to uphold data integrity, quality, and compliance with governance policies.
- Data Documentation: Maintain comprehensive data documentation, including data dictionaries, data catalogues, lineage, and data flow diagrams.
- Data Governance Technical SME: Maintain metadata within key Data Governance Platforms; Microsoft Purview & Profisee (MDM).
- Authority in Data Project Support: Lead data governance projects and initiatives as needed. Ensure that data projects align with key Data Governance principles through guidance and vigilant oversight.
- Lead Key Data Initiatives: Spearhead and drive key initiatives across all dimensions of Data Governance, including: Data Minimization, Data Loss Prevention, Data Backups & Recovery, Data Quality, Data Classification, Data Catalogue & Lineage, Master Data Management, and Data Compliance.
- Data Training Delivery and Ownership: Empower and guide users in understanding data governance policies and adhering to the highest standards of best practices. Propose recommendations and changes to core processes and methods, in order to improve data management processes and decrease privacy risks.
In addition to the above key responsibilities, you may be required to undertake other duties from time to time as the Company may reasonably require.
What you will bring:
- 7+ years’ experience in a data discipline.
- 3 years’ experience in a Data Governance or related roles (e.g. Senior Business Analyst, Senior Data Analyst, Compliance Analyst, Data Steward).
- Hands on experience in Data Governance and Data Management initiatives including Master Data Management.
- Bachelor's degree in Information Technology, Data Management, Computer Science or related discipline.
- Direct experience in Data Warehousing and Business Intelligence including Power BI, Cognos, Microsoft Reporting Services tooling.
- Proficiency in Microsoft 365 tooling (SharePoint, OneDrive, Teams).
- Experience in Microsoft Purview Data Governance modules.
- Demonstrable experience in leading data initiatives & process improvements.
- Experience in working with data privacy regulations and compliance.
- Insurance (e.g. US Workers’ Comp, Casualty, Property, Liability, or Reinsurance) or Finance domain knowledge.
- In-depth understanding of Data Governance principles and best practices.
- Knowledge of data management concepts, data modelling, and database technologies.
- Familiarity with Data Management tools, data governance software, and data modeling.
- Subject Matter Expert in key Data Protection regulations (General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA), California Consumer Privacy Act (CCPA), Digital Operational Resilience Act (DORA)) and industry standards and best practices.
- Awareness of emerging trends in Data Governance and data analytics e.g. AI and Machine Learning.
- Industry-specific knowledge of data security protocols, policies, and regulations.
- Ability to work independently and as part of a team.
- Strong analytical, written, oral, and presentation skills with proven track record of effectively communicating actionable insights.
- Excellent communication & user interaction skills – the ability to interact professionally with a diverse group of customers including subject matter experts, managers and executives varying levels of skill and experience.
- Flexible approach and willingness to put in the effort to achieve deadlines.
- Proactive - Ability to identify opportunities and develop new ideas that will lead to improvements.
- Appetite to work in a dynamic department in a rapidly changing environment.
Senior Data Governance Analyst New London, Agile employer: Enstar Group
Contact Detail:
Enstar Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Governance Analyst New London, Agile
✨Tip Number 1
Familiarise yourself with the specific data governance tools mentioned in the job description, such as Microsoft Purview and Profisee. Having hands-on experience or even a basic understanding of these platforms can set you apart during discussions.
✨Tip Number 2
Network with professionals in the data governance field, especially those who have experience in the insurance or finance sectors. Engaging in conversations about industry-specific challenges can provide valuable insights and demonstrate your commitment to the role.
✨Tip Number 3
Stay updated on the latest trends in data governance, particularly around AI and machine learning. Being able to discuss how these technologies impact data management will show your forward-thinking approach and relevance in the field.
✨Tip Number 4
Prepare to discuss your previous experiences leading data initiatives and process improvements. Be ready to share specific examples that highlight your analytical skills and ability to communicate actionable insights effectively.
We think you need these skills to ace Senior Data Governance Analyst New London, Agile
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance and management. Emphasise your hands-on experience with Master Data Management and any specific tools mentioned in the job description, such as Microsoft Purview.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data governance. Mention specific projects or initiatives you've led that align with the responsibilities outlined in the job description, showcasing your leadership skills.
Showcase Relevant Skills: Clearly list your technical skills related to data governance, such as familiarity with data privacy regulations and experience with data management tools. Use bullet points for clarity and impact.
Highlight Industry Knowledge: If you have experience in the insurance or finance domains, make sure to highlight this in your application. Discuss how your industry-specific knowledge can contribute to the company's data governance efforts.
How to prepare for a job interview at Enstar Group
✨Showcase Your Experience
Be prepared to discuss your 7+ years of experience in data disciplines, particularly focusing on your roles in Data Governance. Highlight specific projects where you led initiatives or improved processes, as this will demonstrate your capability and relevance for the position.
✨Understand Data Governance Principles
Familiarise yourself with key Data Governance principles and best practices. Be ready to explain how you've applied these in past roles, especially in relation to compliance with regulations like GDPR and HIPAA, as this knowledge is crucial for the role.
✨Demonstrate Technical Proficiency
Make sure to highlight your hands-on experience with tools such as Microsoft Purview and Profisee. Discuss any relevant projects involving Data Warehousing and Business Intelligence, showcasing your ability to manage and analyse data effectively.
✨Communicate Effectively
Prepare to demonstrate your strong communication skills by articulating complex data concepts clearly. Practice explaining your past experiences in a way that is accessible to non-technical stakeholders, as this will be important when collaborating with cross-functional teams.
