- How to grow your skills working on challenging and innovative solutions
- Work on new technologies with demanding clients and grow your expertise
- Work in highly skilled teams advising and supporting our clients through the data and technology revolution
- Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies
- Work with Agile and DevOps techniques and implementation approaches in the delivery
- Using good communication skills to understand and deliver client requirements
- Bring your experience and ideas to innovative engineering, design and strategy
- Mentor and upskill fellow group members
- Contribute to our internal networks and special interest groups
- Demonstrable experience in end-to-end MDM implementation, from defining the MDM strategy to the deployment and servicing of the platform, ideally with a good 360 understanding of different MDM domains and business cases
- Solid technical MDM knowledge ranging from the 4 patterns to the next generation MDM platforms and approaches
- Good working understanding of at least 2 MDM technologies
- Well-rounded knowledge of technical and non-technical aspects of data management, including Reference Data Management, Data Quality Improvement, Metadata Management, Data Marketplace and Data Governance.
- Experience working in a client-facing / consulting environment to build trusted relationships with client stakeholders and act as a trusted advisor.
- Excellent communication (written and oral) and interpersonal skills.
- Ability to apply analytical and creative thought process.
- Proven success in contributing in a multi-location team-oriented environment.
- Ensure delivered solutions are realized in time frame committed; work in conjunction with project sponsors to size and manage scope and risk
Set yourself apart:
- Experience delivering projects within an agile environment.
- Outlining a vision, strategy and roadmap for data management well as developing the case for change to support that vision
- Defining data management operating models including Data Governance Frameworks and the roles and responsibilities around ownership of data across an enterprise
- Defining and implementing reference data and metadata management, including next generation solutions and strategies, operating models, architecture and solution components
- Experience on integration and use of data architecture tools
- Regulatory and Compliance work in Data Management
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