Sr. Director, Data Analytics & AI Innovation

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As the Senior Director of Data Analytics & AI Innovation, you will serve as a core strategic leader reporting directly to the Chief Operating Officer. Your mission is to evolve our data function into a proactive growth and innovation engine. By spearheading data standardization, democratization, and modern AI/ML integration across the entire operational footprint, you will uncover hidden business insights that directly transform our business model and accelerate revenue and margin growth.

You will lead, champion, and mentor two high-impact global teams: the Business Intelligence Center of Excellence and the Advanced Data Analytics division, equipping them with the cutting-edge capabilities needed to lead in an AI-first economy.

Key Responsibilities:

• Business Transformation & Value Realization:
  Architect and execute a data roadmap tied directly to operational efficiency and the P&L. Partner closely with Sales, Product, and Finance to build predictive revenue and margin models that stress-test new commercial strategies.
• AI-First Insights & Proactivity:
  Shift the team's focus from descriptive reporting to predictive and prescriptive analytics. Utilize AI tools to uncover proactive insights regarding customer churn, pricing optimization, and operational expansion opportunities.
• Data Democratization & Self-Service:
  Lead the strategic evolution toward an automated self-serve data sandbox model. Implement user-friendly semantic layers and data literacy training to empower non-technical business units to pull reliable data safely.
• Data Standardization & Governance:
  Modernize our data quality framework. Use automation and machine learning to clean, tag, and standardize messy legacy data systems, ensuring a single source of truth across all platforms.
• Team Development & AI Future-Proofing:
  Act as a champion and mentor for the current analytics team, empowering them to thrive in an AI-first environment. Drive a culture of continuous development and equip the team with next-generation skills and productivity tools (e.g., automated data pipelines, intelligent coding assistants) to eliminate repetitive tasks. This will free up team capacity, allowing them to solve complex operational challenges and elevate their impact as strategic business partners.
• Strategic Operating Rhythm:
  Oversee the operational rhythm of company-wide Objectives and Key Results (OKRs) alongside the COO, ensuring cross-functional roadmaps align with data capabilities and long-term business strategy.

What we're looking for…

• Education:
  
  Bachelor's degree in a quantitative field (Data Science, Statistics, Computer Science, Economics) or equivalent practical experience.
• Leadership: 7+ years of experience leading, scaling, and cultivating talent within large, diverse, global data teams.
• Industry Context: 5+ years of deep experience within a fast-paced SaaS or technology enterprise.
• Financial Acumen:
  Proven track record of financial analysis, commercial model creation, and tying data initiatives directly to gross margin improvements.
• Process Excellence:
  Strong experience in business process improvement and optimization (e.g., Lean Six Sigma, Agile methodology) applied directly to modern technology environments.

Even better if you have:

• A Master's degree or MBA.
• Demonstrated success designing cloud-native data strategies using modern data stacks (e.g., Snowflake, Big Query, Looker/Tableau).
• Hands-on experience implementing data governance or data contracts to support AI/ML pipelines.
• Superb…