Director of Data, Analytics & AI

About the role

The Director of Data, Analytics & AI role at Sage is seeking a leader to transform the company's North American Data, Analytics & AI capability. This role aims to consolidate, modernize, and embed AI-native practices into a unified, governed enterprise data ecosystem.

Responsibilities

• 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.

Qualifications

• 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, MicroStrategy), 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 culture.
• Business Acumen: Deep understanding of SaaS economics, GTM motions, and how AI/BI initiatives impact revenue, retention, and operational efficiency.
• Advanced Data Architecture Knowledge: Expertise in modern cloud data platforms (Snowflake, Databricks), semantic modeling, and scalable BI frameworks.
• Applied AI & Machine Learning: Hands-on experience with AI agent development, orchestration, and lifecycle management; familiarity with LLM-based solutions and predictive modeling.
• Data Governance & Responsible AI: Strong grounding in compliance (GDPR, CCPA, PIPEDA), ethical AI principles, and risk mitigation strategies.
• Program Management: Ability to manage complex, multi-workstream programs with clear OKRs tied to business outcomes.
• Budget & Vendor Management: Skilled in negotiating contracts, managing budgets, and tracking ROI for analytics and AI investments.
• Metrics & Impact Orientation: Expertise in defining and tracking KPIs/OKRs that link analytics initiatives to measurable business impact.
• Executive Storytelling: Ability to craft compelling narratives from complex data for C-suite audiences.

Pay

The compensation offered will be determined by factors such as location, level, job-related knowledge, education, and experience. In those locations, the target salary range for new hires is $180K salary to $230K.

Schedule

This role offers a hybrid schedule.