Delivery Leader, AI & Data Strategy
phData
| Company | phData |
| Category | Uncategorised |
| Location | US-Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 26 May 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year
AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
2025 Fivetran Partner of the Year (4th consecutive year)
2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
2026 KNIME Customer Excellence Partner of the Year
Preferred Partner in the Anthropic Claude Partner Network
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
Recognized as an award-winning workplace in the US , India and LATAM
phData is seeking an AI & Data Strategy Leader to join our Advisory team. You'll work with senior executives to shape AI and data strategy, lead cross-functional teams to deliver on it, and turn capabilities into measurable business outcomes.
Core Responsibilities
Client Delivery & Execution
Lead AI & data strategy engagements end-to-end: problem definition, readiness assessment, use case prioritization, and design of roadmaps and operating models tied to revenue, customer experience, and innovation objectives
Own engagement delivery; manage scope and risk, maintain executive-level stakeholder relationships (including C-suite), and facilitate high-impact discovery, prioritization, and "art of the possible" workshops
Bridge the gap between business needs and technology: develop balanced technical, organizational, and process recommendations and build compelling narratives and rigorous business cases for AI/data investments
Architect future-state AI & data operating models and technology stacks with a focus on safety, scalability, TCO, and regulatory compliance
Provide delivery oversight for AI/data platforms; ensure execution aligns with agreed strategy; own quality of all engagement outputs and coach project team members on consulting fundamentals and business impact
Client Leadership & Account Growth
Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities
Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes
Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success
Thought Leadership & Practice Development
Contribute to phData's AI & Data Strategy offerings: methods, frameworks, accelerators, and client-ready collateral
Support sales pursuits, client presentations, and thought leadership focused on AI and data strategy
Mentor consultants and senior consultants on strategic thinking, executive presence, and delivery quality
Required Qualifications
6+ years as a hands-on AI or data strategy leader, owning strategy engagements and roadmaps
2+ years of consulting leadership with external clients, managing multiple workstreams and teams
Proven ability to engage senior stakeholders (including C-suite) and deliver a clear, compelling story behind recommendations
Experience identifying and prioritizing AI/data opportunities, designing roadmaps and operating models, and building business cases tied to revenue, cost, risk, and customer experience
Strong technical literacy across moder