Data Steward Manager

hace 2 semanas

Barcelona, España Tiger Analytics, LLC A tiempo completo

Tiger Analytics is the largest AI and advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring depth in the industry and deep expertise in Data Science, Data Engineering, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. We also have a presence in Europe, Singapore, and LATAM markets.

We are the fastest growing and largest pure play provider in the space. We are also the only bootstrapped firm in this space looking to go IPO in the next 3 to 5 years. If you are passionate about being associated with a company like ours and join our mission to be the best AI firm in the world providing Certainty to our clients in their businesses, we would like to speak with you.

**Qualifications**:

- 5-10+ years of experience working in Data Governance or Supplier Data Management experience within a global CPG (Consumer Packaged Goods) company, Supply Chain, or similar industry.
- Strong data management background who understands data, how to ingest data, proper data use/consumption, data quality, and stewardship.
- Strong experience in SAP Vendor Master Data (fields and configuration). In-depth knowledge of S2P processes (POs, invoices, goods receipts).
- Hands-on experience with SAP MM, SAP Ariba, or related procurement modules is a plus.
- Experience in Azure Data Steward, Data management frameworks - DAMA - DMBOK, Data regulation and data governance (Alteryx, Informatica).
- Data Visualization tools - Tableau and Power BI. Experience working in Agile environments, participating in sprints, and collaborating with cross-functional teams.
- Preferred experience with Informatica (EDC, Axon, IDQ), Intermediate - Advanced Excel.

**Responsibilities**:

- Support strategic initiatives that depend on the consumption of Supply Chain & Product data.
- Develop and implement data governance policies and standards.
- Ensure compliance with data regulations and internal policies.
- Facilitate data stewardship meetings and maintain documentation.
- Monitor data quality metrics and perform data quality assessments.
- Identify and resolve data quality issues.
- Implement data cleansing processes and procedures.
- Manage the data lifecycle from creation to archival or deletion.
- Collaborate with cross-functional teams to understand data needs and usage.
- Provide insights on data trends and usage through regular reporting.
- Support data-driven decision-making processes across the organization.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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