Data Steward Specialist - Operations and Sustainability

ClienTech fosters innovation driven by analytics, design thinking, mobile and social. It does so by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for – and expands our investment in – our entrepreneurial culture. Through innovative software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.

You will be joining a high performing team of experienced data stewardship, risk, and data lifecycle management professionals. You will partner with asset leaders, external data providers, software engineers and product design teams to drive centralized stewardship and administration of practice data and tool assets. You will also work closely with senior leadership from the Operations practice, ClienTech and legal.

What You'll Do

• In this role, you will drive stewardship and administration of the Sustainability Warehouse.
• You will develop new taxonomies and work with assets, data engineering and product teams to ensure quality and continuity of data delivery from the Sustainability Warehouse. You will own the central view of external data requirements and capabilities for the practice and be in a position to advise on available internal and external data sources, services and expertise. You will own the external data provider relationships and license management where necessary.

Qualifications

• Bachelor’s degree in a quantitative field like economics, finance, data science, computer science, engineering or related field with strong academic qualifications
• 3+ years of experience in a data steward role or related data content management field such as data governance, product information, master data management, ontology, taxonomy, information architecture
• Ability to work in teams, to take initiative, and to deliver high-quality results in a reliable manner
• Superior organizational skills and attention to detail
• Ability to prioritize work across multiple ongoing projects
• High level of integrity and maturity when dealing with data risk scenarios
• Experience building and maintaining data standards such as taxonomies
• Experience in a C&I, data-driven Solution, or product operations setting
• Curiosity and drive to build knowledge in the Operations and/or Sustainability space

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