At a Glance
- Tasks: Lead data strategy and governance for a major IT transformation programme.
- Company: Join US3 Consulting, a dynamic player in the IT consulting space.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a transformative project that enhances data quality and accessibility.
- Qualifications: 5-7 years in data management; experience with IT system implementations required.
- Other info: Ideal for proactive individuals who thrive under pressure and love collaboration.
The predicted salary is between 36000 - 60000 £ 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 insights and potentially lead to referrals for the position.
✨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
Showcase your ability to collaborate with various stakeholders by preparing examples of successful teamwork. Highlighting your communication skills and how you've built relationships in past roles will resonate well with the hiring team.
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 leadership roles in IT system implementations and any specific projects that align with the responsibilities of the Data Workstream Lead/Manager.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of the data strategy and governance framework. Mention how your skills in project management and stakeholder engagement will contribute to the success of the IT transformation programme.
Showcase Technical Proficiency: Include specific examples of your technical skills, such as your experience with Power BI, Microsoft Azure, SQL, and ETL processes. Highlight any projects where you successfully implemented data quality rules or governance frameworks.
Demonstrate Problem-Solving Skills: Provide examples in your application that showcase your ability to identify and mitigate data-related risks. Discuss how you've handled critical data issues in the past and the impact of your solutions on project outcomes.
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 skills mentioned in the job description, such as Power BI, SQL, and data warehousing. Be prepared to discuss specific tools and methodologies you've used in past projects to manage data effectively.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and risk mitigation strategies. Think of examples from your previous roles where you identified and resolved critical data issues, and be ready to explain your thought process.