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SourcingXPress, located in Bengaluru, India, is seeking a Principal Data Excellence Consultant to enhance our Data Quality and Governance initiatives. This hybrid role involves client-facing projects, internal implementations, and collaboration with our talented Data Excellence team.
The ideal candidate will have 10 to 14 years of data engineering experience, strong commercial acumen, and a proactive approach to problem-solving. Join us to make a significant impact in a growing consultancy with a varied client base.
We are looking for an experienced Principal Data Excellence Consultant to join a growing consultancy and work in its talented teams with specific accountability around Data Quality to support and increase our Data Governance focus.
This is an excellent opportunity for an experienced professional that would sit within our Data Excellence pillar to evolve and make their mark within an established team of consultants, with opportunities to develop a strong career path within an ambitious consultancy across a varied client base and ultimately form trust in provision of data to all consumers.
You’ll sit within our Data Excellence division and report into our Data Excellence Practice Director. In terms of data skills, Data Excellence spans multiple disciplines, including data architecture, data modelling, data quality, metadata management, data governance, data literacy, and data responsibility. Above all, we care about encouraging a cultural shift in the way businesses view data and ensuring we instil trust in data throughout its whole lifecycle providing that ultimate kitemark / stamp on data to consume with confidence. The Data Excellence goal is to implement required and desired business capabilities, treating data as an asset.
We are looking for hands‑on data talent, as well as growing business development mentality. The Data Excellence focus at is entrepreneurial in nature, which is why we seek a good measure of commercial acumen too. This is a hybrid role, covering client facing projects and internal implementations.