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Data & AI Leader - Senior Director - Canada / Hybrid
Ness Digital Engineering
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted yesterday
About this role
Role Purpose We are seeking a senior Data & AI leader to lead enterprise Data & AI transformation initiatives for strategic clients. The role will work closely with senior business and technology stakeholders to define Data & AI strategies, identify and prioritize opportunities, shape solutions, and provide leadership through execution. The individual will bring a strong combination of enterprise data expertise, AI/GenAI knowledge, consulting capability, technology leadership and delivery experience, with the ability to translate emerging technologies into practical business outcomes. Key Responsibilities: • Part of the core delivery leadership team & leader for Data & AI engagements • Client Advisory & Executive Engagement • Become the trusted advisor for CIO, CDO, CAIO and business executives on Data & AI opportunities, priorities and investment decisions. • Help develop transformation roadmaps across data platforms, data engineering, analytics, AI/ML, GenAI and data governance. • Define and execute enterprise Data & AI strategies aligned to business priorities and transformation objectives. • Identify opportunities to leverage AI and automation to transform business and technology operating models. • Driving newer / innovative opportunities to partner • Solutioning • Team & Leadership Required Experience & Qualifications • 15+ years of experience in technology, data, analytics, AI or digital transformation. • Significant experience leading enterprise-scale Data & AI transformation programs. • Strong understanding of modern cloud data architectures, data engineering and AI ecosystems. • Experience with platforms such as Azure, Databricks, Snowflake or equivalent. • Strong understanding of GenAI, LLMs, RAG, AI agents and agent orchestration. • Demonstrated experience working directly with C-suite and senior business/technology executives. • Proven ability to lead complex solutioning and transformation engagements. • Experience managing large, distributed, multidisciplinary technology teams. • Strong commercial and business acumen, including experience with proposals, business cases and large transformation engagements. • Excellent communication, presentation and stakeholder-management skills. Key Success Measures • 20% yoY Business growth within Data & AI space • Ness acknowledged as thought leader within Data & AI space (CSAT & NPS survey) • Drive adoption of Ai/Agentic AI (nos -TBD) • Drive agreed business outcomes with AI/ML solutions