Director of Data, Analytics & AI

Sage is searching for a Director to lead the consolidation, modernization and AI-native transformation of its North American Data, Analytics & AI capability. This role exists to bring together today’s disparate analytics, BI and data engineering teams into a single, cohesive, product‑led function that operates as the trusted source of insight for the GTM organization.

This is an opportunity to lead a major data transformation program – consolidating fragmented data assets, tools and platforms into a unified, governed enterprise data ecosystem – while simultaneously upskilling the team for the AI‑native era and embedding modern data management practices at scale.

This is a builder’s role. You will own the forward‑looking data acquisition strategy, define and execute the analytics and AI product roadmap, and apply UX and persona‑driven thinking to ensure data products are adopted and trusted by GTM stakeholders. You will lead through influence in a global, matrixed organization, partnering with functions that do not directly report to them, and will personally coach the team to deliver deep analytical insight projects that drive measurable commercial outcomes.

• Develop and execute a comprehensive business intelligence and AI strategy aligned with SaaS business models and organizational goals.
• Own the North America go‑to‑market AI/BI strategy and roadmap, aligned to SaaS GTM objectives; set objectives and key results linked to revenue, retention, efficiency, and customer experience.
• Build and run a BI/AI Center of Excellence, standards, and reusable assets for GTM analytics.
• Champion the adoption of AI‑powered tools and platforms to drive innovation and measurable business outcomes.
• Responsible for change management ownership for AI and executive stakeholder alignment.

• Stand up agentic workflows (e.g., lead routing, forecast hygiene, account insights, next‑best‑action) and maintain lifecycle management (versioning, monitoring, rollback).
• Identify and prioritize AI use cases in sales enablement, marketing automation, and revenue operations (e.g., opportunity routing, churn detection, advanced analytics).
• Oversee the deployment, governance, and lifecycle management of AI agents and solutions.

• Establish and evolve BI and AI architecture to support reporting needs across multiple data sources and platforms.
• Oversee cloud data architecture (e.g., Snowflake/Databricks + ETL/ELT), semantic models, and self‑service analytics; ensure scalability and cost discipline.
• Ensure data quality, lineage, and cataloging; partner with IT/Data Eng to maintain secure integrations with CRM (Salesforce), MAP, CS tools.
• Implement and govern a responsible AI framework including fairness, privacy, transparency, human oversight, risk reporting, and periodic audits. Own ethical AI practices such as bias mitigation, model transparency, and remediation planning.

• Lead and mentor a team of data analysts, BI professionals, and AI champions.
• Foster a culture of innovation and AI literacy, including training, certifications, and participation in AI hackathons.

• Direct the creation of dashboards, reports, and visualizations that incorporate AI‑driven insights.
• Analyze complex data sets using advanced analytics and machine learning to identify trends, patterns, and opportunities for improvement.
• Facilitate cross‑departmental collaboration to ensure data‑ and AI‑driven decision‑making.

• Minimum of 5 years in leadership and 10 years of working experience in business intelligence, AI, data analytics, or a related field.
• Proven experience with BI tools (e.g., Tableau, Power BI, Micro Strategy), data management systems (Oracle DB, Snowflake), and AI platforms (Microsoft Copilot, Nexus).
• Experience in SaaS environments and working with Salesforce is an asset.
• Executive Influence & Stakeholder Management:
  Ability to engage senior leadership, drive consensus, and influence strategic decisions using data and AI insights.
• Change Leadership:
  Proven capability to lead organizational transformation, including AI adoption and analytics‑driven…