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- Tasks: Lead data quality initiatives and manage data governance programs.
- Company: Join Mars, a global leader in the snacking industry with a diverse workforce.
- Benefits: Enjoy competitive salary, bonuses, and access to Mars University for continuous learning.
- Why this job: Make a real impact on data quality while working in a purpose-driven environment.
- Qualifications: Bachelor's degree in relevant fields; experience in data management and program execution required.
- Other info: Hybrid work model available; equal opportunity employer.
The predicted salary is between 54000 - 84000 £ per year.
Drive implementation of Enterprise Data Quality Capability (people, process, culture, tools) and specific initiatives under the umbrella of the Data Quality Surge program. Launch and drive the data quality factory-as-a-service capability to certify data and analytics assets across the data systems landscape of Mars Snacking. This scope includes all data source systems, subscribing systems, analytical apps, AI models, and cloud and on-premises technology ecosystems. Support the implementation and embedment of Data Quality tools.
What are we looking for?
- Bachelor's degree in computer science or business analytics or related major with equivalent business experience. MBA/Master’s degree preferred.
- Significant prior experience in large-scale program management with a focus on data management and data transformation.
- Practical experience with Data Quality program execution for product, vendor and (or) customer data domains.
- Significant experience in the field.
- Strong functional knowledge of internal and external data assets created in technology platforms such as ERP, Supply Chain Management, Demand Planning, Manufacturing, Finance and R&D operations.
- Experience driving scrum teams.
- Prior experience with engaging both technical and business audiences on various levels of seniority.
- Practical experience with implementation of the DQ tooling, such as Collibra, Informatica, Syniti, Infosteward, MS Purview and/or others.
What will be your key responsibilities?
- Own initiatives and programs targeted at data quality improvement within the DQ surge program remit.
- Run data quality factory (data profiling, monitoring, DQ rules definition and cleansing activities).
- Define backlog of data quality issues in line with the ‘Capture, Curate, Consume’ framework.
- Embed the DQ tool into the processes and activities under his/her remit.
- Deploy policies, standards, and best practices for effective data quality management across data assets.
- Evaluate and recommend technologies that align with the organization's data quality objectives.
- Oversee and/or drive the implementation of data quality initiatives. Report on the status.
- Drive regular assessments of data assets to identify data quality issues.
- Contribute to the definition of data governance policies.
- Contribute strongly to forming of data champions organization in Mars Snacking.
- Support the landing of the data stewardship operating model into the mega process or a function.
What can you expect from Mars?
- Work with over 140,000 diverse and talented Associates, all guided by the Five Principles.
- Join a purpose-driven company, where we’re striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry-competitive salary and benefits package, including company bonus.
Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Enterprise Data & AI Quality & Governance Senior Lead employer: Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
Contact Detail:
Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data & AI Quality & Governance Senior Lead
✨Tip Number 1
Familiarise yourself with the specific data quality tools mentioned in the job description, such as Collibra and Informatica. Having hands-on experience or even a basic understanding of these tools can set you apart during discussions.
✨Tip Number 2
Network with professionals in the data management field, especially those who have experience in large-scale program management. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with scrum teams and how you've driven initiatives in data quality improvement. Be ready to share specific examples that highlight your leadership and problem-solving skills.
✨Tip Number 4
Research Mars Snacking's current data governance policies and any recent initiatives they’ve undertaken. This knowledge will not only help you tailor your conversations but also demonstrate your genuine interest in the company.
We think you need these skills to ace Enterprise Data & AI Quality & Governance Senior Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data management and program execution. Emphasise any specific tools you've used, such as Collibra or Informatica, and showcase your leadership in driving data quality initiatives.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data quality and governance. Mention how your background aligns with the responsibilities outlined in the job description, particularly your experience with data quality tools and managing scrum teams.
Showcase Relevant Experience: When detailing your work history, focus on significant projects that demonstrate your ability to manage large-scale data quality programmes. Use metrics to quantify your achievements, such as improvements in data accuracy or efficiency gains.
Prepare for Technical Questions: Anticipate questions related to data governance policies and the specific tools mentioned in the job description. Be ready to discuss your practical experience with these technologies and how you've implemented them in past roles.
How to prepare for a job interview at Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
✨Showcase Your Data Management Experience
Be prepared to discuss your significant prior experience in large-scale program management, particularly focusing on data management and transformation. Highlight specific projects where you successfully implemented data quality initiatives.
✨Familiarise Yourself with Relevant Tools
Make sure you have practical knowledge of the data quality tools mentioned in the job description, such as Collibra, Informatica, and MS Purview. Be ready to explain how you've used these tools in past roles to drive data quality improvements.
✨Engage with Both Technical and Business Audiences
Demonstrate your ability to communicate effectively with both technical teams and business stakeholders. Prepare examples of how you've engaged different levels of seniority in previous roles to ensure alignment on data quality objectives.
✨Understand the 'Capture, Curate, Consume' Framework
Familiarise yourself with the 'Capture, Curate, Consume' framework mentioned in the job description. Be ready to discuss how you would define a backlog of data quality issues within this framework and how it relates to your previous experiences.
