Director, Advisory – AI Adoption & Change Management

🕒 April 20

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $2.5M Seed Round on 2018-03

Artificial Intelligence • SaaS • Enterprise

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• 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

🎯 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)

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities