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ITAC Solutions
Senior Vice President, Data & Analytics
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- Birmingham, England, United Kingdom
- +3
- +2
- Birmingham, England, United Kingdom
Über
Senior Vice President of Data & Analytics
, you will architect a modern data ecosystem that empowers smarter customer engagement, sharper inventory moves, and accelerated business growth. This is a rare opportunity to lead enterprise-level change at scale—connecting data, people, and platforms to deliver measurable impact. Benefits & Extras Executive-level role with significant influence on company direction Opportunity to modernize legacy systems and build a best-in-class data environment High-impact, highly visible role reporting directly to the CIO Collaborative and forward-thinking IT leadership team Culture that values innovation, ownership, and customer-first thinking
Compensation: $180-195K What You’ll Be Doing Designing and executing a company-wide data strategy aligned with growth and modernization goals Leading the consolidation and optimization of enterprise data platforms (e.g., Snowflake, Databricks, SQL Server) Overseeing data governance and stewardship frameworks to ensure quality, security, and compliance Building and leading a cross-functional team spanning engineering, BI, governance, and architecture Replacing legacy analytics tools with scalable, user-friendly platforms like Power BI and QlikSense Driving stakeholder alignment and adoption across merchandising, marketing, operations, and supply chai Championing a data-driven culture that turns insight into action
What You’ll Need to be Considered Experience consolidating and modernizing enterprise data environments 15+ years of experience in data analytics leadership roles Familiarity with cloud-based tools like Snowflake, Databricks, and FiveTran and legacy systems Strong communication skills with the ability to influence at all levels Proven leadership within matrixed or multi-departmental teams Background in change management and organizational transformation Retail industry experience is a plus, but not required INDIT firstName * lastName * Email Address * * Phone Number * * Attach Resume * Accepted file types: pdf, doc, docx, Max. file size: 16 MB.
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Wünschenswerte Fähigkeiten
- Power BI
- SQL Server
Berufserfahrung
- Data Engineer
- Data Analyst
- Business Intelligence
Sprachkenntnisse
- English
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