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- Tasks: Lead data quality initiatives and manage data governance programs at Mars.
- Company: Join Mars, a global leader in the food industry with over 140,000 diverse associates.
- 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 culture.
- Qualifications: Bachelor's degree in relevant field; significant experience in data management required.
- Other info: Remote work options available; inclusive workplace committed to diversity.
The predicted salary is between 72000 - 100000 £ 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: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK 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 valuable referrals.
✨Tip Number 3
Prepare to discuss your experience with scrum teams and how you've engaged both technical and business audiences. Be ready to share specific examples that demonstrate your ability to bridge the gap between these groups.
✨Tip Number 4
Research Mars' current data governance policies and initiatives. Understanding their existing framework will allow you to speak knowledgeably about how you can contribute to their goals and improve data quality within the organisation.
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 your understanding of Mars' values and how your background aligns with their mission to improve data quality across their systems.
Highlight Relevant Experience: When detailing your work history, focus on large-scale program management roles and any practical experience you have with data quality programs. Use specific examples to demonstrate your impact in previous positions.
Showcase Your Technical Skills: List any technical skills that are relevant to the role, particularly those related to data quality tools and technologies. Be sure to mention your experience with cloud and on-premises technology ecosystems, as this is crucial for the position.
How to prepare for a job interview at ENGINEERINGUK
✨Understand the Data Quality Landscape
Familiarise yourself with the key concepts of data quality management and the specific tools mentioned in the job description, such as Collibra and Informatica. Be prepared to discuss how you have implemented these tools in previous roles and the impact they had on data quality.
✨Showcase Your Program Management Experience
Highlight your significant prior experience in large-scale program management, especially in data management and transformation. Prepare examples that demonstrate your ability to lead initiatives and drive results in complex environments.
✨Engage with Technical and Business Audiences
Since the role requires engaging both technical and business stakeholders, practice articulating complex data concepts in a way that is accessible to non-technical audiences. Think of examples where you've successfully bridged this gap in past experiences.
✨Demonstrate Leadership in Data Governance
Be ready to discuss your experience with data governance policies and how you've contributed to forming data champion organisations. Share specific instances where your leadership has led to improved data quality or governance outcomes.
