phData

Data Scientist

• Shape and deliver data and AI platforms/products that solve real business problems, partnering with architects, engineers, analysts, and change leaders.
• Turn business goals into clear requirements, user stories, and backlogs; lead agile planning and execution across cross-functional teams.
• Define and track KPIs and success metrics across business, customer, product, and delivery; use data to drive prioritization and iteration.
• Ensure quality, adoption, and continuous improvement through testing, validation, stakeholder feedback, and iteration.
• Communicate clearly with business and technical stakeholders, surfacing risks early and driving alignment on decisions.
• Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders.

Senior Product Manager, AI & Data

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

• Lead, and be accountable for the success of complex AI and data programs, serving as primary point of contact for client sponsors and partners.
• Partner closely with technical delivery leads and execution teams to drive success and measurable client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, and risk across multi-geo teams.
• Own and actively manage scope across all parties involved. Own or co-own engagement financials (budget, burn, margins, forecasting), early risk/variance management using delivery metrics (e.g., burn, velocity, adoption, value realization), associated communication, and change control as necessary.
• Build strong, trust-based relationships with senior client and partner business and technology stakeholders.
• Navigate ambiguity, conflicting priorities, and tough trade-offs with calm, data-informed recommendations.
• Coordinate effectively with ecosystem partners (e.g., Snowflake, ISVs) to align roadmaps, funding, and delivery.
• Shape a healthy, inclusive delivery culture by setting sustainable operating rhythms and coaching PMs/Delivery Leads/consultants.
• Contribute to the ongoing iteration and refinement of existing phData processes and methodologies.

Senior Program Manager, AI & Data

Artificial Intelligence

• Design and execute structured change and adoption plans with clear workstreams, milestones, and tactics that maximize adoption of data platforms, analytics tools, and AI-powered workflows
• Translate technical platform and AI model impacts into role-based change tactics, journey maps, and "what changes for me" narratives
• Define, track, and report on adoption and behavior change metrics — including scorecards and dashboards for client stakeholders
• Design and facilitate training, enablement, and AI upskilling experiences (data literacy, AI literacy, prompt engineering, responsible AI) tailored to different personas with measurable outcomes
• 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, Governance, Advisory) to design and deliver end-to-end solutions that drive customer success
• Help shape differentiated AI Adoption & Change Management offerings by contributing reusable assets — playbooks, communications plans, training curricula, change impact logs
• Mentor junior consultants and change leads; contribute to internal knowledge sharing and capability building
• Support pre-sales activities as a subject matter expert — contributing to proposals, scoping sessions, and client discovery
• Own end-to-end delivery of AI, data, and analytics change programs — from scoping and planning through execution and optimization
• Establish pragmatic governance and cadence (steering committees, working sessions, status reporting) to keep delivery on track and stakeholders aligned
• Manage RAID logs, delivery milestones, and workstream health across concurrent engagements
• Exhibit strong ownership and accountability in resolving delivery challenges with a bias toward action and exceptional outcomes

Delivery Leader, AI Adoption – Change Management

QA Automation Engineer

• Partner with business groups to identify AI/automation opportunities.
• Assess feasibility (viability, data, integration, ROI, readiness) and help prioritize work across a portfolio of ideas.
• Translate business problems into clear solution designs and implementation plans.
• Communicate recommendations in a way that is understandable to both technical and non‑technical stakeholders.
• Design, configure, and refine AI‑driven applications and agents (RAG, prompt design, agent workflows) for internal and occasional client use.
• Build on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence to orchestrate end‑to‑end agentic workflows (e.g., retrieval, reasoning, actions, and hand‑offs).
• Implement guardrails, monitoring, and evaluation patterns so agents are safe, reliable, and helpful.
• Implement workflow automation using RPA, scripting, and low‑code/no‑code tools to remove manual, repetitive steps from business processes.
• Integrate systems and data sources through APIs and connectors to enable smooth, end‑to‑end execution.
• Operate and optimize automations over time for performance, reliability, and cost.
• Build automation and AI workflows using modern engineering practices (version control, code review, testing, CI/CD), with a focus on maintainability and reusability.
• Contribute to shared patterns, templates, and documentation that make it easier to roll out new AI agents and automations.
• Work with cross‑functional teams (Platform, Analytics, Operations, Sales, Delivery, Finance, IT) to deliver solutions that align with business priorities.
• Participate in agile planning and ceremonies to keep work visible, prioritized, and on track.
• Share best practices on AI agents and workflow automation across the organization.
• Track and experiment with emerging AI/automation tools, and bring forward ideas for pilots and improvements.
• Help evaluate and operate secure, governed cloud AI services.

AI Automation Engineer – Internal Platform

Solutions Engineer

• Lead the architecture, hardening, and continuous security improvement of enterprise Snowflake platforms across complex, security-sensitive client environments, ensuring strong controls, resilience, and long-term maintainability.
• Translate business, security, and technical requirements into operating models, roadmaps, and engineering work that strengthen platform controls, access patterns, governance, and secure delivery practices.
• Design and lead proactive monitoring, alerting, and threat detection across Snowflake environments using native audit and telemetry data, integrating with SIEM or similar platforms to detect, investigate, and remediate anomalous or unauthorized activity.
• Use threat modeling and attack-path analysis to identify and remediate risk across access models, data sharing, network controls, identity posture, third-party integrations, service accounts, secrets management, and configuration drift.
• Guide architectural and operational decisions across governance, authentication, privileged access, network security, and data protection, balancing platform risk, business priorities, compliance requirements, and performance goals.
• Serve as a trusted advisor and senior technical leader across client stakeholders, internal engineers, and partner teams, clearly communicating trade-offs, platform risks, and remediation plans while guiding difficult decisions in complex environments.
• Contribute to and improve managed services standards by creating automation, runbooks, accelerators, and best practices that enhance the quality, consistency, and scalability of secure Snowflake operations.
• Lead cross-functional teams and mentor engineers while helping mature phData’s secure managed services delivery model.

Principal Solution Architect – Data Platform Security

Program Manager

• Lead complex AI and data programs as the primary point of contact for client sponsors and partners, owning successful delivery and client outcomes.
• Translate client strategy into clear roadmaps and integrated delivery plans, balancing pace, quality, scope, and risk across multi-geo teams.
• Partner closely with technical delivery leads, architects, and engineers to ensure delivery aligns to business goals and measurable value.
• Own engagement financials including budget, burn, margins, forecasting, utilization, and change control; proactively manage risk and variances using delivery metrics.
• Build strong, trust-based relationships with senior client, partner, and technical stakeholders, providing concise status updates and executive-ready storytelling.
• Navigate ambiguity, competing priorities, and difficult trade-offs with calm, data-informed recommendations.
• Manage project risks and customer escalations end-to-end in close partnership with delivery and sales.
• Identify opportunities to expand phData services, including AI and analytics offerings, within existing accounts.
• Provide account health readouts covering financials, project status, AI adoption metrics, and key blockers.
• Help shape a healthy, inclusive delivery culture by coaching Project Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Data Analyst

• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
• 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, distinguishing full automation from human-augmented workflows.
• 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, including for AI/ML and GenAI features.
• Capture business rules, decision logic, and user journeys.
• Define data requirements (sources, quality, latency, privacy constraints).
• Specify model behavior, guardrails, and human-in-the-loop interactions.
• Address non-functional needs (performance, explainability, auditability, SLAs).
• Navigate complex organizational hierarchies and goals to build consensus.
• Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications.
• Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).
• Own the quality and readiness of BA deliverables and coach project team members.
• Drive project outcomes by keeping alignment between business objectives, implementation, and success metrics.
• Use Generative AI tools (e.g., Claude, Glean, agents) to accelerate analysis, documentation, and solution design—letting the tech do the heavy lifting while you validate outputs, synthesize themes, and recommend future states.
• Establish, grow, and maintain strong customer relationships as a trusted advisor.

Senior Business Analyst, AI & Data

Technical Project Manager

• Own and drive the delivery and operational excellence of modern data platforms (including streaming, data lakes, and analytics) for multiple customer accounts.
• Translate business and technical requirements into actionable Epics, Stories, and Tasks that mature and improve customer data platforms while aligning to phData methodologies and best practices.
• Ensure engagements are delivered on time, within scope, and on budget, with clear measures of success and value for customers.
• Lead and motivate client technical teams, providing hands-on technical leadership for design, implementation, and ongoing operational support of cloud data platforms.
• Provide leadership during major incidents, ensuring effective coordination, communication, escalation, and follow-through to resolution, root cause analysis, and remediation.
• Collaborate with cross-functional partners including architects, engineers, and site reliability/operations teams in the US and India to deliver successful client engagements and seamless handoffs across time zones.
• Develop strong relationships with sponsors and stakeholders, keeping them informed of progress and outcomes, hosting leadership discussions, and identifying opportunities to expand the value of our services.
• Ensure teams are trained and prepared to deliver by driving accurate process documentation, clear internal and external communication, and continuous readiness for production operations.
• Maintain proper staffing levels across accounts, balancing delivery between US and India team members to support continuous delivery and high customer satisfaction.
• Deliver feedback and drive improvements to our overall Managed Services offerings through process optimization, knowledge sharing, and creation of accelerators and reusable assets.
• Champion phData’s core values and foster a culture of accountability, ownership, and continuous improvement within delivery teams.
• Contribute to the evolution of best practices for incident management, change management, and modern data platform operations across multiple customers.
• Act as a trusted advisor to senior client stakeholders (Director and VP level), shaping roadmaps for cloud data platforms and influencing strategic decisions around data and analytics operations.
• Mentor and coach architects, engineers, and operations team members, helping them grow technical depth and delivery capabilities across large and complex environments.
• Help define and refine Managed Services standards, playbooks, and frameworks to support scalable growth across a broad customer base.

Technical Delivery Manager

• Act as the bridge between complex business challenges and innovative technical solutions.
• Lead high-impact interviews and workshops with Executives, IT, and Business Stakeholders to uncover root-cause problems and define project vision, scope, and success metrics.
• 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, distinguishing full automation from human-augmented workflows.
• 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, including for AI/ML and GenAI features.
• Capture business rules, decision logic, and user journeys.
• Define data requirements (sources, quality, latency, privacy constraints).
• Specify model behavior, guardrails, and human-in-the-loop interactions.
• Navigate complex organizational hierarchies and goals to build consensus.
• Support experimentation and rollout (PoCs, pilots), including test design, feedback loops, training, SOP updates, and communications.
• Partner with architects and developers to ensure designs meet business needs and oversee User Acceptance Testing (UAT).

• Shape and deliver data and AI platforms/products that solve real business problems, partnering with architects, engineers, analysts, and change leaders.
• Turn business goals into clear requirements, user stories, and backlogs; lead agile planning and execution across cross-functional teams.
• Define and track KPIs and success metrics across business, customer, product, and delivery; use data to drive prioritization and iteration.
• Ensure quality, adoption, and continuous improvement through testing, validation, stakeholder feedback, and iteration.
• Communicate clearly with business and technical stakeholders, surfacing risks early and driving alignment on decisions.
• Senior Consultant: Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders.
• Lead Consultant: Own engagement-level product vision, roadmap, and KPIs across multiple workstreams, and contribute to proposals, estimates, and key client conversations.

Lead Consultant, Product Management

Director

• Exceed quarterly/annual sales targets in all practice areas (Data Engineering, Managed Services, Machine Learning, and Analytics)
• Co-Sell with Snowflake, AWS, Anthropic and other ecosystem partners
• Drive and execute lead generation activities (i.e. cold calls, email, social, regional events)
• Partner with team members to scope and present solutions to prospects and clients
• Take accountability for the phData brand in your territory and accounts
• Navigate complex organizational structures to identify key stakeholders
• Accurately forecast, update deals, and manage sales pipeline
• Complete and embrace training for continuous improvement

Territory Director – Northeast

Account Manager

• Own and drive account strategy, delivery, and growth for a large, strategic account, executing long-term growth plans aligned to client goals and phData's capabilities.
• Serve as the senior account leader, accountable for client satisfaction, revenue growth, delivery quality, and executive relationship management.
• Translate client business objectives into strategic programs spanning data platforms, pipelines, governance, analytics, and AI in partnership with engineering and ML teams.
• Help clients address critical priorities such as customer intelligence, demand forecasting, personalization, loyalty analytics, and operational efficiency.
• Ensure engagements are delivered on time, within scope, and with measurable business value.
• Collaborate with cross-functional partners across Go-to-Market, Delivery, Finance, and Partner teams to align on account health and future opportunity.
• Provide strategic leadership during executive meetings, QBRs, and roadmap discussions, positioning phData as a trusted advisor to both business and technology stakeholders.
• Partner with ecosystem providers such as Snowflake, AWS, and Anthropic to bring added value to the client.
• Mentor team members and foster a culture of learning, feedback, and continuous improvement.
• Contribute to internal playbooks, account planning frameworks, and repeatable patterns for driving AI & Data outcomes in Retail, CPG, and Hospitality.
• Share best practices and client insights to improve phData's engagement model and delivery excellence.

Client Account Lead

Consultant

• Deliver on project-based consulting engagements and help clients develop analytical requirements through prototyping and visualization.
• Manage client expectations by leading weekly status reports, facilitating working sessions, and proactively soliciting feedback to keep engagements aligned and moving forward.
• Create, publish, and optimize Tableau reports, dashboards, and workbooks; diagnose visual and data issues; and recommend improvements to datasets, extracts, and visuals to improve usability and performance.
• Analyze, troubleshoot, and tune product performance or deployment issues when required, and implement durable fixes when problems arise.
• Support backlog management and development activities across client engagements.
• Identify and recommend functionality and solutions to meet and enhance user requirements.
• Recommend best practices to optimize data models, dashboards, platform architecture, and Tableau environment performance.
• Own the development of the technical project approach, help manage the backlog or project plan, and execute on a focused set of high-value tasks within team engagements.
• Own the long-term vision around analytics strategy and tool selection, provide escalation support, and contribute to phData’s broader analytics community through mentorship and thought partnership.
• Mentor junior consultants and help raise the bar on performance, utilization, and project delivery across the team.

Principal Analytics Consultant, Tableau

Data Engineer

• Join 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 promoting technological curiosity, ownership, and trust

Senior Product Manager, AI & Data

Principal Product Manager

Senior Program Manager, AI & Data

Delivery Leader, AI Adoption – Change Management

AI Automation Engineer – Internal Platform

Principal Solution Architect – Data Platform Security

Program Manager

Senior Business Analyst, AI & Data

Technical Delivery Manager

Senior Business Analyst, AI & Data

Lead Consultant, Product Management

Territory Director – Northeast

Client Account Lead

Principal Analytics Consultant, Tableau

Lead Data Engineer