Vendor Master Data Lead
INBLR02 - Bangalore - Milesstone Buildcon
Maersk
Maersk is an integrated logistics company that offers supply chain solutions for managing shipments and cargo. Learn how to register, book and find prices.TEASER
Are you ready to impact an industry? Are you passionate about unlocking business value with data and advanced analytics? Join our exceptional team of experienced business and technology leaders and highly talented engineers and data scientists!
Data is key to integrating supply chains and to give people across the world an excellent experience when involved in global trade. Unlocking the value of data in an industry that has just begun its technological transformation is an exciting challenge and an immense opportunity!
Maersk has embarked on an ambitious journey to disrupt itself and to tackle just that. Our Global Data & Analytics teams is there to unlock the power to deliver integrated logistics in a sustainable way. Are you ready to join us and rethink the way how we manager our vendor relations and deliver outstanding products and services?
WHO ARE WE LOOKING FOR?
At Maersk, we understand that high data quality is a critical pre-requisite for a great vendor experience, efficient processes, and capable analytics. We are seeking a passionate Vendor Master Data lead to join our Data Excellence team and raise enterprise master data management to the level required to execute on our business strategy. In this role, you will play a pivotal part in shaping our target state for vendor master data, driving improvements with our technology platforms, and ensuring that solutions align with Maersk ambitions and challenges are addressed timely and systemically.
KEY RESPONSIBILITIES
We offer a role with plenty of opportunity to perform and grow:
End-to-End Vendor Master Data Lead
- Accountable for the data integrity of vendor master data (VMD) across Maersk including recommending systemic improvements required to bring VDM to its target state on technical and data architecture
- Contribute to Maersk Data architecture, master data flow including and standard patterns while verifying their effectiveness relating to VMD
- Drive adherence to master data management policy and standard patterns
- Ensure synchronization between MDM and GDA routines to align with the governance and the MDM strategy.
Release Design and Assurance
- Work directly with platforms and programs with VMD dependencies to ensure clarity to patterns and requirements, and drive alignment on deliverables required to close the gap
- Define and manage the VMD release designs with the platforms and programs to ensure and assure that VMD is ready for go-lives
- Responding to challenges experienced across platforms and ensure they are systemically addressed.
MDM Platform Development
- Work closely with VMD data owner and process lead to translate target business outcomes to platform requirements
- Contribute to the vision and roadmap for the MDM platform including identify optimal data models covering the +6 master data domains which will be mastered in this platform
- Continuously seek ways to improve the MDM platform to address data quality challenges and consistency issues experienced across the enterprise
Enterprise Master Data Management
- Contribute to the enterprise MDM practices, focused on the data capabilities and ensure they align with process and technology capabilities.
- Be the company’s thought leader on effective vendor master data management
- Be a trusted advisor for process and technology executives and teams involved in enterprise master data management
- Engage in domain data quality reviews as needed to uphold high standards.
BASIC QUALIFICATIONS
To succeed in this role, we expect you to bring:
- 14+ years of experience in data/technology roles with 5+ years of deep experience in vendor master data
- Strong sense of accountability with a drive to address challenges systemically
- Strong experience with data quality management and data governance in an outcome focused environment.
- Effective leadership skill with ability to influence without authority and deliver through own and virtual teams.
- Ability to drive organizational change and anchor improvements outside own function.
- Demonstrated ability to strategize and architect, prioritize deliverables, and work with technical engineering teams.
- Experience with delivery management in data/technology organizations.
- High personal agility and ability to deal with ambiguity.
- Ability to present complicated analyses and technology concepts in a simple manner, and to communicate insights and recommendations to executive leadership
- Curiosity to learn about the Global Data & Analytics team and data technology concepts, maintaining an extensive network with up-to-date knowledge of what has mainstream and enterprise relevance to Maersk
- High ambitions and a strong appetite for personal development to make the most of this excellent career opportunity
PREFERRED QUALIFICATIONS
- Experience with transformation programs
- Experience in less regulated industries
- Experience working within Supply Chain (e.g., procurement, planning, etc.) or Finance is preferred.
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data governance Data management Data quality Engineering Finance
Perks/benefits: Career development Medical leave Parental leave
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