phData

Full-stack Engineer

• Build AI-native applications and agents that solve high-value business problems on top of the client’s data and AI platform
• Rapidly prototype full-stack, MVP-grade agents, applications, and workflows
• Productionize the most impactful solutions, integrating with the client’s AI Data Platform
• Own the end-to-end lifecycle of AI-native solutions in your business area
• Collaborate with data engineers, ML engineers, activation specialists, and client teams

Forward Deployed AI Product Engineer

Recruitment

• Support full-cycle recruiting through every stage of technical and advisory requisitions, including recruiter screens, scheduling, and additional support as needed
• Build and execute sourcing strategies from scratch, including writing Boolean search strings
• Partner with Talent Acquisition leaders to advise on sourcing strategies, market mapping, and talent insights
• Manage a healthy pipeline across multiple open reqs, prioritizing and communicating proactively
• Deliver a great candidate experience with clear communication and timely feedback
• Track and report on pipeline health; use data to spot where things are slowing down and make the case for what needs to change
• Stay current on go-to-market (GTM) roles and the data and AI talent market
• Identify opportunities to implement AI-driven recruiting workflows (sourcing, outreach, screening) to improve speed, signal, and scalability across the hiring process

Talent Acquisition Specialist

Data Engineer

• Join phData, a dynamic and innovative leader in the modern data stack.
• Partner with major cloud data platforms to deliver cutting-edge services and solutions.
• Help global enterprises overcome their toughest data challenges.
• Maintain a casual, exciting work environment while delivering results.
• Ensure performance, security, scalability, and robust data integration for technical solutions.

Senior Data Engineer

Artificial Intelligence

• 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
• 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
• 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

Data & AI Strategy Leader

• Lead AI ecosystem assessments; identify maturity gaps and design tailored governance frameworks (principles, policies, decision-rights) aligned to client's industry, regulatory environment, and AI enablement vision
• Own multi-workstream engagements; drive executive alignment and multi-year governance roadmaps connected to AI strategy and value realization
• Define governance evaluation and approval processes for AI tools and use cases: risk tiers, scoring methodology, and control expectations by risk tier
• Develop AI governance operating model blueprints: governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal
• Define and operationalize AI FinOps guardrails, including: spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and TCO decisions integrated into the broader governance model
• Facilitate executive and working sessions to align stakeholders and drive decisions
• Define governance metrics and dashboards tracking value, cost, risk exposure, control coverage, and governance effectiveness
• Recommend third-party AI governance tools; collaborate with engineering teams to ensure implementability on modern data & AI platforms
• Shape and close strategic opportunities in partnership with sales: value propositions, solution approaches, and delivery models
• Represent phData externally as a thought leader on AI governance at conferences, webinars, and partner events

AI Governance Leader

• Deliver cutting-edge services and solutions
• Help global enterprises overcome their toughest data challenges
• Collaborate with major cloud data platforms like Snowflake, AWS, Azure, GCP.