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- Tasks: Lead data strategy and governance for a major IT transformation programme.
- Company: Join US3 Consulting, a dynamic player in the consulting industry.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation and make a real impact on data quality.
- Qualifications: 5-7 years in data management; experience with IT system implementations required.
- Other info: Must have EU work permit; energy sector experience is a plus.
The predicted salary is between 43200 - 72000 £ per year.
The Data Workstream Lead/Manager will play a key role in a major IT transformation programme, championing the data strategy and governance framework to improve data quality and accessibility. They will coordinate data migration efforts, lead data cleanse activities, work closely with data architects, and oversee the migration team. The role also involves driving procedural and system changes to enhance data quality controls.
Key Responsibilities
- Develop and manage a comprehensive data strategy for the programme
- Maintain an integrated data plan covering the full project lifecycle
- Align data milestones across multiple workstreams and stakeholders
- Ensure consistency between internal teams and external partners
- Identify and mitigate data-related risks
- Act as the final escalation point for critical data issues
- Provide regular updates to programme leadership
- Ensure visibility of progress, risks, and key achievements
- Adhere to PMO standards for reporting, governance, and risk
- Support regulatory compliance and end-to-end testing
Core Requirements
- 5–7+ years in data management/migration within large, multinational IT programmes
- Led at least three full IT system implementations
- Strong project and stakeholder management skills
- Technical proficiency with IT systems and data architecture
- Expertise in risk mitigation, communication, and workshop facilitation
- Detail-oriented, adaptable, and capable under pressure
Key Accountabilities
- Data Migration: Lead data cleansing and migration activities; Participate in planning and risk review meetings
- Data Governance: Develop governance frameworks and data accountability models; Assess data maturity and define robust data rules
- Data Quality: Design and implement data quality rules and audit procedures; Build infrastructure for data quality reporting; Perform root cause analyses and drive continuous improvement
- Data Harmonization & Reporting: Improve data reporting and transparency; Catalogue data sources and refresh schedules
General
- Ensure compliance with company policies and support evolving business needs
Technical Skills & Tools
- Power BI, Microsoft Azure, SQL, ETL, data warehousing, data transformation and mapping
- Python and knowledge of data warehouse design are a plus
Qualifications
- Degree-level education or equivalent
- Experience in the energy sector is advantageous
Personal Attributes
- Proactive, solutions-oriented, and resilient under pressure
- Strong collaborator with excellent communication and relationship-building skills
Data Workstream lead/Manager employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Workstream lead/Manager
✨Tip Number 1
Familiarise yourself with the specific data management tools mentioned in the job description, such as Power BI, Microsoft Azure, and SQL. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with professionals in the data management field, especially those who have experience in large IT transformation programmes. Engaging with industry peers can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences in leading data migration projects. Be ready to share specific examples of how you managed risks and ensured data quality, as these are crucial aspects of the role.
✨Tip Number 4
Stay updated on the latest trends and best practices in data governance and quality control. Demonstrating your knowledge of current methodologies can show your commitment to continuous improvement and innovation in the field.
We think you need these skills to ace Data Workstream lead/Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and migration. Focus on your achievements in previous roles, especially those that align with the responsibilities of the Data Workstream Lead/Manager position.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities and requirements outlined in the job description. Use examples from your past experiences to demonstrate how you meet these criteria.
Highlight Technical Skills: Emphasise your technical proficiency with tools like Power BI, Microsoft Azure, SQL, and any experience with Python or data warehousing. This will show that you have the necessary skills for the role.
Showcase Project Management Experience: Detail your project management experience, particularly in large IT programmes. Highlight your ability to manage stakeholders and mitigate risks, as these are crucial for the role.
How to prepare for a job interview at JR United Kingdom
✨Understand the Data Strategy
Make sure you have a solid grasp of the data strategy and governance framework that the company is implementing. Be prepared to discuss how your experience aligns with their goals and how you can contribute to improving data quality and accessibility.
✨Showcase Your Project Management Skills
Highlight your project management experience, especially in large IT programmes. Be ready to provide examples of how you've successfully led data migration efforts and coordinated with multiple stakeholders to achieve project milestones.
✨Demonstrate Technical Proficiency
Familiarise yourself with the technical tools mentioned in the job description, such as Power BI, Microsoft Azure, and SQL. Be prepared to discuss your experience with these tools and how they can be applied to enhance data quality controls.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to mitigate data-related risks. Think of specific situations where you've had to address critical data issues and how you resolved them effectively.
