Navigating and upgrading a fifteen-year-old architectural framework into a modern data ecosystem
Unifying fragmented, duplicated data sources to establish a single, trusted source of truth for the
Collaborating with data engineering and applied science leads to embed artificial intelligence
Partnering with sales, marketing, and customer support business units to outline and deliver

🎯 Requirements

Deep technical familiarity with complex, large-scale big data systems and real-time data products
Proven ability to communicate sophisticated data concepts clearly to senior leadership and
Experience operating autonomously in ambiguous environments, making confident decisions without a
Skill in managing conflicting priorities from demanding business units such as marketing and sales
Strong commercial mindset with a background in handling marketing or sales data portfolios
Comfort partnering closely with cross-functional engineering and data science panels to assess

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