Director, Advisory - AI Adoption & Change Management

phData

5h•Remote

About The Position

phData is a dynamic and innovative leader in the modern data stack, partnering with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. The company is committed to helping global enterprises overcome their toughest data challenges and is a remote-first global company with employees in the United States, Latin America, and India. phData fosters a community of technological curiosity, ownership, and trust, maintaining a casual, exciting work environment while growing rapidly. They are seeking a Director of Advisory with a focus on AI Adoption & Change Management to drive enterprise-wide adoption of agentic AI, LLM-powered solutions, foundational data platforms, and modern analytics across customer organizations. This is a senior, highly visible role impacting revenue, customer satisfaction, and market positioning, sitting at the intersection of sales, delivery, and customer success.

Requirements

10+ years in management consulting or advisory, with deep exposure to enterprise transformation programs
7+ years leading organizational change management for technology transformations — including AI/ML, data platforms, cloud migrations, digital product rollouts, and operating model change
Hands-on experience driving adoption of AI, LLM, or advanced analytics solutions (e.g., AI copilots, agentic workflows, recommendation engines, self-service analytics)
Proven track record owning or heavily influencing sales: discovery, solution shaping, executive proposals, and closing large consulting deals
Demonstrated ability to oversee complex, multi-workstream programs as engagement leader, balancing delivery quality, scope, and financial performance
Deep familiarity with change management frameworks (Prosci ADKAR, Kotter, ACMP) and experience tailoring them to AI & data contexts
Exceptional executive communication and storytelling skills — able to translate technical complexity into clear business narratives for diverse personas
Strong stakeholder management and influence skills, including navigating resistance, aligning sponsors, and facilitating decisions across business and technology
Fluency in agentic AI architectures, LLM platforms, and modern data and AI stacks (e.g., Snowflake, Databricks, cloud providers, vector databases)

Responsibilities

Lead pre-sales engagements, including discovery sessions, executive workshops, SOW scoping, and storytelling that connects services to measurable business outcomes
Own pipeline development for adoption and change offerings; build repeatable collateral, playbooks, and case studies
Define and refine the AI adoption and change management value proposition in partnership with Practice and Sales leadership
Influence pricing and packaging, balancing value, delivery feasibility, and margin
Serve as executive sponsor or engagement leader on key AI, LLM, and data adoption programs; own delivery quality, risk management, and business outcomes
Oversee change roadmaps, stakeholder analyses, communications strategies, enablement plans, and adoption KPIs; ensure AI initiatives are paired with the operating model and role changes needed to realize value
Coach project managers, change leads, and technical teams to unblock delivery, manage resistance, and protect timelines and scope
Own satisfaction, renewal, expansion, and referenceability for change and adoption engagements
Build trusted advisor relationships with executive client sponsors (CIO, CDO, CAO, CHRO, BU leaders), shaping multi-phase roadmaps from pilot to scale
Track adoption KPIs (usage, behavioral change, time-to-value, productivity lift, AI literacy) and drive voice-of-customer feedback into offerings and delivery methods
Create and sponsor thought leadership, frameworks, blueprints for agentic AI and LLM adoption, and reusable assets (diagnostic tools, maturity models, training curricula, stakeholder playbooks)
Mentor and develop a bench of change management practitioners; define long-term talent strategy for the capability
Contribute to practice strategy, annual planning, and delivery methodology governance; champion a "run on AI / deliver with AI" culture