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- Tasks: Lead data strategy and governance for a major IT transformation programme.
- Company: Join a dynamic team driving innovation in data management within a multinational environment.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Be at the forefront of data transformation, making a real impact on data quality and accessibility.
- Qualifications: 5-7 years in data management; experience with IT system implementations is essential.
- Other info: Proficiency in Power BI, Azure, SQL, and Python 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
- Develop governance frameworks and data accountability models
- Assess data maturity and define robust data rules
- Design and implement data quality rules and audit procedures
- Build infrastructure for data quality reporting
- Perform root cause analyses and drive continuous improvement
- Support data harmonization strategy
- 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
Contact Detail:
US3 Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Workstream lead/Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data management and migration, especially within large IT programmes. This will not only help you understand the role better but also allow you to speak confidently about relevant strategies during interviews.
✨Tip Number 2
Network with professionals in the data management field, particularly those who have experience in IT transformation projects. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully led data migration or cleansing activities in the past. Highlighting your hands-on experience will demonstrate your capability to manage similar challenges in this role.
✨Tip Number 4
Showcase your technical skills by being ready to discuss tools like Power BI, SQL, and Azure. If you have experience with Python or data warehousing, make sure to mention it, as these skills are highly relevant to the job.
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. Emphasise your project management skills and any specific tools you've used, such as Power BI or SQL, to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the company's data strategy and governance framework. Share specific examples of how you've successfully led data migration efforts or improved data quality in previous roles.
Showcase Your Technical Skills: Clearly outline your technical proficiency with IT systems and data architecture in your application. Mention any experience with Python, ETL processes, or data warehousing that could set you apart from other candidates.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and collaboration. Provide examples of how you've worked with stakeholders or led teams under pressure, as these are crucial for the role.
How to prepare for a job interview at US3 Consulting
✨Showcase Your Data Strategy Knowledge
Be prepared to discuss your experience in developing and managing data strategies. Highlight specific examples where you've successfully implemented data governance frameworks and improved data quality.
✨Demonstrate Project Management Skills
Since the role requires strong project and stakeholder management skills, come equipped with examples of how you've led data migration projects. Discuss how you coordinated with various teams and managed risks effectively.
✨Highlight Technical Proficiency
Familiarise yourself with the technical tools mentioned in the job description, such as Power BI, SQL, and Azure. Be ready to explain how you've used these tools in past roles to enhance data management and reporting.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities under pressure. Think of scenarios where you've had to mitigate data-related risks or resolve critical data issues, and be ready to share your thought process.
