At a Glance
- Tasks: Lead data strategy and governance for a major IT transformation programme.
- Company: Join a dynamic team in the heart of London, driving innovative data solutions.
- Benefits: Enjoy a hybrid work model with opportunities for remote work and corporate perks.
- 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 in large IT programmes is essential.
- Other info: Visits to Manchester required; 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
- 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
Data Workstream lead/Manager (City of London) employer: US3 Consulting
Contact Detail:
US3 Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Workstream lead/Manager (City of London)
✨Tip Number 1
Familiarise yourself with the latest trends in data management and governance. Understanding current best practices will not only help you in interviews but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the data management space, especially those who have experience in large IT transformations. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the role.
✨Tip Number 3
Prepare to discuss specific examples of your past experiences in data migration and governance. Highlighting your achievements and how you've successfully led similar projects will set you apart from other candidates.
✨Tip Number 4
Showcase your technical skills by being ready to discuss tools like Power BI, SQL, and Azure. Being able to articulate how you've used these technologies in previous roles will demonstrate your capability to handle the responsibilities of the position.
We think you need these skills to ace Data Workstream lead/Manager (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and migration, especially within large IT programmes. Emphasise your project management skills and any specific tools you've used, such as Power BI or SQL.
Craft a Compelling Cover Letter: In your cover letter, address how your background aligns with the key responsibilities of the role. Mention specific projects where you led data cleansing or governance initiatives, and demonstrate your understanding of the company's data strategy.
Showcase Your Technical Skills: Clearly outline your technical proficiency with IT systems and data architecture in your application. If you have experience with Python or data warehousing, make sure to include that as it can set you apart from other candidates.
Highlight Soft Skills: Since the role requires strong collaboration and communication skills, provide examples in your application that showcase your ability to work under pressure and build relationships with stakeholders. This will help demonstrate your fit for the team.
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, as this will demonstrate your capability to lead in this role.
✨Emphasise Project Management Skills
Since the role requires strong project and stakeholder management skills, come equipped with examples of how you've managed multiple workstreams and aligned data milestones across teams. This will show that you can handle the complexities of the position.
✨Demonstrate Technical Proficiency
Familiarise yourself with the technical tools mentioned in the job description, such as Power BI, SQL, and Azure. Be ready to discuss how you've used these tools in past projects, as this will highlight your technical fit for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data-related risks and issues. Prepare scenarios where you've successfully mitigated risks or resolved critical data problems, showcasing your proactive and solutions-oriented mindset.