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. To be successful, you must bring extensive enterprise data leadership experience, product lifecycle fluency (including SDLC), a track record of large‑scale technology and database conversions, and the credibility to be a trusted adviser to GTM executives in a high‑growth SaaS environment. Strategic Leadership 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. AI Enablement & Innovation 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. Data Management 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. Team Management 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. Reporting, Analysis & Collaboration 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 and 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 and 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 and 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. Benefits Competitive salaries that land Sage in the top 5% of similar sized companies. Comprehensive health, dental and vision coverage. 401(k) retirement match (100% matching up to 4%). 32 days paid time off (21 personal days, 10 national holidays, 1 floating holiday). 18 weeks paid parental leave for birth, adoption or surrogacy offered 1 year after start date. 5 days paid yearly to volunteer (through Sage Foundation). $5,250 tuition reimbursement per calendar year starting 6 months after hire date. Sage Wellness Rewards Program ($600 wellness credit and $360 fitness reimbursement annually). Library of on‑demand career development options and ongoing training offerings. Location: United States (Atlanta; Austin). Work place type: Hybrid. Equal Employment Opportunity (EEO) Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law. #J-18808-Ljbffr Sage