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.

Business Analyst

• Act as the bridge between complex business challenges and innovative technical solutions.
• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders.
• Understand enterprise business strategy and align solutions to clear business outcomes.
• Map “As-Is” and “To-Be” value streams and business processes.
• Identify bottlenecks and automation/AI opportunities.
• Quantify benefits (cycle time, error reduction, capacity, CSAT) to support prioritization.
• Elicit, analyze, and document functional and non-functional requirements, user stories, and acceptance criteria.
• Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).

Senior Business Analyst, Data & AI

People Operations

• Lead and build the People Operations function: Lead and mentor the global team of HR Generalists, ensuring consistent delivery of high-quality HR support, employee relations, and HR policy implementation across all regions.
• Regional People Operations: Partner with regional leadership and People teams to ensure the effective and consistent delivery of people operations services, balancing global standards with local legal and cultural requirements.
• People Systems: Architect and manage the global HR technology roadmap, including the end-to-end selection, implementation, and optimization of all people systems.
• Ethical Framework & Policy: Define the Human-Centered AI policy for the People function.
• Compensation and Benefits: Oversee the strategic development and management of total rewards programs.
• Shared Services: Build and scale a world-class HR shared services model to centralize and standardize administrative and transactional HR activities.

Global Head of People Operations

Product Manager

• Own solution vision and roadmap for client data and AI platforms/products: align strategies to business objectives, identify innovation opportunities, and guide clients toward higher data maturity and data‑driven decision making.
• Be the primary point of contact and trusted advisor to executive and senior stakeholders—clarifying objectives, shaping KPIs/success metrics, and ensuring outcomes map to client value and ROI.
• Translate business needs into actionable technical direction: work with architects, engineers, analysts, and change leaders to define solution scope, requirements, and a product‑based approach to data investments (platform, products, applications, services).
• Lead planning and execution using agile practices: coordinate cross-functional teams, timelines, and dependencies; manage risk, scope, and trade‑offs across multiple concurrent initiatives.
• Establish and operationalize KPIs for business, customer, product, and teams—track performance, communicate status, and drive course corrections with data.
• Ensure quality, adoption, and continuous improvement of solutions through testing, validation, stakeholder feedback, and iteration; connect solution changes to organizational change management needs.
• Support business development by shaping solution narratives, contributing to proposals, and participating in client pitches to showcase phData’s capabilities and approach.
• Stay current on industry trends, emerging technologies, and best practices in data, analytics, and AI; share insights to elevate client strategies and internal practice maturity.

Principal Product Manager, Data & AI

Account Manager

• Own and drive account strategy, delivery, and growth for a portfolio of strategic Financial Services accounts, creating and executing long-term growth plans aligned to client goals and phData’s capabilities.
• Serve as the senior account leader for your portfolio, accountable for client satisfaction, revenue growth, delivery quality, profitability, and executive relationship management.
• Translate client business objectives and AI & Data priorities into strategic programs spanning data platforms, pipelines, governance, analytics, and AI, in partnership with data engineering, analytics, and ML teams.
• Help Financial Services clients address critical business priorities such as regulatory reporting, risk management, fraud detection, customer intelligence, operational efficiency, and AI enablement.
• Ensure engagements across your portfolio are delivered on time, within scope, and with strong profitability and measurable business value, while maintaining approximately 40% utilization to stay close to delivery and client outcomes.
• Act as a trusted advisor to senior client stakeholders, helping shape roadmaps, influence strategic decisions, and guide long-term transformation initiatives.
• Collaborate with cross-functional partners across Go-to-Market, Delivery, Finance, Product, and Partner teams to align on account health, project success, and future opportunity.
• Provide strategic leadership during executive meetings, workshops, QBRs, and roadmap discussions, positioning phData as a trusted advisor to both business and technology stakeholders within Financial Services organizations.
• Ensure high quality in deliverables by staying engaged with delivery teams, reviewing performance metrics, and driving governance, risk management, and issue resolution across accounts.
• Partner with ecosystem providers such as Snowflake, AWS, Databricks, and others to design and execute joint account strategies that bring added value to clients and accelerate portfolio growth.
• Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
• Contribute to internal initiatives such as Financial Services industry playbooks, account planning frameworks, sales enablement materials, and repeatable patterns for driving AI & Data outcomes in the sector.
• Represent phData with professionalism at industry events, conferences, and panels, helping elevate our presence and reputation within Financial Services.
• Share best practices, deal learnings, and client insights to improve phData’s client engagement model, forecasting, and overall delivery excellence.
• Help define and refine practice standards, reusable assets, and delivery frameworks that support account success across the Financial Services portfolio.

Client Account Lead – Financial Services

Program Manager

• Own and drive complex, multi-workstream data and AI programs for phData’s largest strategic accounts from discovery through execution and scale, ensuring alignment to client objectives and measurable outcomes.
• Translate business objectives into actionable data and AI roadmaps with clear milestones, connecting architecture, engineering, and delivery work to business value.
• Manage scope, timelines, budgets, and resources (architects, engineers, and other delivery roles) across multiple concurrent customers while maintaining high utilization and delivery quality.
• Ensure rigorous project and program governance through operating cadences, clear RACI, risk/issue/decision logs, change control, and stakeholder communication plans.
• Proactively identify, assess, and mitigate risks across delivery, scope, and resourcing; create recovery plans and drive resolution to closure.
• Own project and portfolio financials, including revenue targets, margin management, forecasting, and reporting; identify levers to improve profitability.
• Collaborate with internal sales, account management, and delivery leadership to drive overall customer success and account health, serving as a key liaison between clients and delivery teams.
• Build and maintain strong, trust-based relationships with senior client stakeholders, including C-level executives, to drive clear decision-making and alignment around program goals and trade-offs.
• Lead and mentor multidisciplinary teams across geographies and time zones, elevating delivery quality, efficiency, and professional growth; coach other PMs/TPMs as needed.

Senior Program Manager

Director

• Exceed quarterly/annual sales targets in all practice areas (Data Engineering, Managed Services, Machine Learning, and Analytics)
• Co-Sell with Snowflake, AWS, and other ecosystem partners to sell transformative data and AI engineering services and solutions into enterprise companies.
• Drive and execute lead generation activities (i.e. cold calls, email, social, regional events, etc.) to grow market share and awareness within your region.
• Partner with team members (Managing Directors, Solutions Engineering, Marketing, etc.) to scope and present solutions to prospects and clients.
• Take accountability for the phData brand in your territory and accounts, including all sales, delivery and overall customer success for accounts with your region.
• Navigate complex organizational structures to identify key stakeholders, champions and budget owners across various lines of business within an account.
• Accurately forecast, update deals, and manage sales pipeline.
• Complete and embrace training for continuous improvement and new company initiatives.

Territory Director

• Own solution vision and roadmap at the engagement level for client data and AI platforms/products: align to business objectives, surface opportunities for improvement, and help clients advance their data maturity and data‑driven decision making.
• Be the primary point of contact and trusted advisor for your engagements—clarifying objectives, defining and tracking KPIs/success metrics, and ensuring outcomes map to client value and ROI.
• Translate business needs into actionable technical direction: work with architects, engineers, analysts, and change leaders to define solution scope, requirements, and a product‑based approach to data investments (platform, products, applications, services).
• Lead planning and execution using agile practices: coordinate cross-functional teams, timelines, and dependencies; manage risk, scope, and trade‑offs across one or more concurrent initiatives.
• Establish and operationalize KPIs for business, customer, product, and teams within your engagements—monitor performance, communicate status, and drive data‑informed adjustments.
• Ensure quality, adoption, and continuous improvement of solutions through testing, validation, stakeholder feedback, and iteration; work with change leaders and client stakeholders to support adoption of new platforms and products.
• Contribute to business development by informing solution narratives, providing input to proposals, and occasionally joining client discussions or pitches to represent the solution and delivery perspective.
• Stay current on industry trends, emerging technologies, and best practices in data, analytics, and AI, and bring relevant ideas into client engagements and internal practice work.

Lead Product Manager, AI & Data

• 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

Forward Deployed AI Product Engineer

Talent Acquisition Specialist

Senior Data Engineer

Data & AI Strategy Leader

AI Governance Leader

Senior Data Engineer

Senior Business Analyst, Data & AI

Global Head of People Operations

Principal Product Manager, Data & AI

Client Account Lead – Financial Services

Senior Program Manager

Territory Director

Lead Product Manager, AI & Data

Director, Advisory – AI Adoption & Change Management