phData

Artificial Intelligence

• 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 Solution Owner, AI & Data Products

• 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 Solution Owner, AI & Data Products

Data Engineer

• Serve as the executive-level technical leader and primary advisor for strategic customer accounts
• Act as a CTO for your accounts, guiding technology decisions, roadmaps, architecture, and platform maturity
• Build deep relationships with technical and business stakeholders, driving consensus on solutions
• Lead Quarterly Business Reviews (QBRs), Innovation Days, roadmap presentations, and architectural vision sessions
• Deliver clear recommendations, success criteria, and measurement frameworks for each engagement
• Step into complex or ambiguous problem spaces and provide clarity, direction, and momentum
• Collaborate closely with Account Executives to create and execute growth strategies
• Identify new opportunities for phData services and lead scoping, pricing, and proposal development
• Influence buying centers, build executive relationships, and create value-based narratives for expansion
• Deeply understand customer needs and industry trends, positioning phData offerings accordingly
• Drive strategic alignment between the customer, partners (e.g., Snowflake), and internal teams
• Develop and execute multi-year technology roadmaps aligned to client business outcomes
• Own delivery success and overall satisfaction across all projects within assigned accounts
• Ensure delivery quality through mentorship, leadership, and hands-on involvement as needed
• Provide architectural oversight, escalation management, and alignment across teams
• Build technical documentation, vision statements, solution architectures, and proofs of concept
• Drive accountability across internal and client teams through strategic, candid communication
• Lead enablement and education of delivery teams through documentation, onboarding support, and cross-training sessions
• Mentor technical consultants and engineers across the delivery organization
• Build and grow technical and communication skills across teams to elevate delivery maturity
• Identify and share delivery patterns that drive scalable, repeatable customer success
• Actively contribute to phData internal initiatives and communities of practice
• Lead client resource planning, forecasting, and skills alignment in partnership with Recruiting and Resourcing
• Track KPIs and metrics across engagements to measure and communicate business outcomes
• Contribute to internal knowledge sharing and play a key role in Practice Lead strategy discussions
• Collaborate with partner technology teams and keep the broader account team aligned and informed
• Participate in key leadership, sales, and delivery syncs to ensure alignment across functions

Director, Data Engineering

Program Manager

• Define and deliver projects with high complexity that have broad cross-organizational, global, and technology impact
• Manage, own and execute the end to end delivery process across multiple customers ensuring buy in from executives, stakeholders, and project resources
• Provide an understanding of the work being delivered to each customer, including overall scope, budget, timeline, and value proposition
• Identify potential growth and/or renewal opportunities within existing customers
• Assess, manage, and communicate risks and issues throughout project lifecycle
• Develop and use project metrics to make informed decisions
• Drive strategic solutions and business alignment through system level reviews
• Demonstrate excellent judgment and partnership while driving executive-level escalations
• Confident project communications with both external and internal stakeholders, including weekly detailed status reports
• Manage multiple projects, escalations, conflicting priorities and schedules simultaneously
• Contribute and Iterate on the existing phData’s PMO processes with a high level of accuracy
• Partner with internal phData teams to refine existing processes

Senior Program Manager, AI & Data

• Deliver project-based consulting engagements
• Manage client expectations and report on progress
• Create reporting and data visualization solutions
• Analyze and troubleshoot deployment issues
• Support backlog development
• Recommend functionality and best practices

Senior Consultant – AI Workforce

Solutions Engineer

• Propose, design, and provision cloud-native data solutions on AWS/Azure.
• Lead a technical team operating and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
• Provide clear ownership of multiple simultaneous customer accounts across a variety of technical stacks as the technical leader.
• Skillfully navigate complex customer environments and build Epics, Stories, and Tasks in order to mature and improve our customers’ data platform.
• Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance, security, scalability, and user satisfaction.
• Lead discussions and contribute to design recommendations for data model design for Data Warehouses and Data Lakes.
• Continually hunt for ways to automate, optimize, and expand our customers’ data platform and our service offering.

Principal Solution Architect

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 – South Region

• Own the technical sales process from introductory meetings (net-new sales) through post-sales (customer success and expansion).
• Provide pre-sales proofs of concept or short paid engagements to de-risk decisions and accelerate value.
• Clearly communicate phData’s Managed Services (MS), Data Engineering (DE), and Machine Learning Engineering (MLE) offerings to existing and prospective customers.
• Ensure overall customer success across phData offerings and help establish and grow customer relationships.
• Grow phData’s public presence at conferences, meetups, and speaking events.
• Collaborate with the Account Executive and Delivery Owner on Statement of Work (SOW) deliverables.
• Translate big-picture business requirements and use cases into complete data engineering solutions.
• Scope activities for large, complex data solutions and manage post-sales support and escalations.

Territory Director – Southeast

Architect

• Collaborate with clients to understand their business needs and objectives
• Gather inputs from clients to understand where they are today, their vision for leveraging data, analytics, and AI, and extract themes to underpin recommendations
• Design and develop business architectures that align with clients' strategic goals
• Identify opportunities for leveraging data and AI to improve business processes and outcomes
• Collaborate with technical teams to ensure the successful implementation of solutions
• Conduct gap analysis and recommend improvements to existing business processes, including data governance
• Lead workshops and meetings to align stakeholders on project goals and deliverables
• Create detailed documentation, including business capability maps, process flows, and solution blueprints
• Develop and deliver presentations to senior executives and stakeholders
• Establish and grow customer relationships
• Bridge the gap between business strategy and technology implementation, ensuring that engineering efforts align with business needs
• Drive project team outcomes by ensuring alignment between business objectives, solution implementation, and measurable success metrics
• Be fully accountable for managing risks and escalations, owning overall resolution in partnership with Delivery and Sales, and owning project financials while delivering regular account health readouts (financials, project status, major blockers)

Senior Business Architect

• Lead AI & data strategy engagements end-to-end: define problems, assess readiness, prioritize use cases, and design roadmaps and operating models tied to revenue, customer experience, and innovation.
• Own engagement delivery and stakeholder alignment: manage scope and risks, maintain executive (including C‑suite) relationships, and facilitate discovery / prioritization / “art of the possible” workshops.
• Bridge business and technology by balancing technical, organizational, and process recommendations and building clear narratives and business cases for AI/data investments.
• Shape the future-state AI & data operating model and stack (roles, processes, governance, and key platform/tooling choices) with safety, scalability, TCO, and regulatory needs in mind.
• Provide delivery oversight for AI/data platforms and capabilities, partnering with Delivery Leads and technical teams to ensure execution matches the agreed strategy.
• Own the quality of engagement outputs and provide hands-on coaching to project team members on consulting fundamentals and business impact.
• At the Principal level, you also:
• Co‑own account strategy with Client Account Leads and Technical Account Leads, shaping multi‑year AI/data roadmaps and connecting engagement outcomes to account growth.
• Serve as a trusted executive advisor and play a senior role in critical pursuits and visible thought leadership, while mentoring other Engagement Leads and reinforcing ways of working.

AI & Data Strategy Leader

• Advise clients on AI & data strategy.
• Design implementation roadmaps and future-state operating models.
• Make architecture and technology recommendations tied to business outcomes.
• Facilitate discovery and “art of the possible” sessions with stakeholders.
• Communicate complex technical and strategic concepts clearly.
• Own key workstreams within AI & data strategy engagements.
• Perform analysis and synthesis to turn insights into recommendations.
• Support workshop design and facilitation.

AI & Data Strategy Architect

Risk

• Lead data governance engagements end-to-end as the Engagement Lead—framing problems, defining scope, and delivering outcomes across operating model, stewardship, data quality, metadata, and tooling.
• Facilitate governance working groups and forums that align business and technology stakeholders, drive decisions on definitions, business rules, and data quality controls, and ensure ownership by data stewards.
• Execute and embed metadata and data quality processes (cataloging, lineage, stewardship workflows, profiling, monitoring, and issue management) into analytics workflows, models, and data platform pipelines.
• Support selection, rollout, and adoption of governance and metadata tools (e.g., Collibra, Alation, Atlan, Purview), making recommendations that clearly tie to business outcomes.
• Partner on access, privacy, and compliance, ensuring governance practices support regulations (e.g., GDPR, CCPA) and broader data/AI governance standards.
• Coach client staff on data stewardship, and prepare clear presentations, training materials, and adoption guides that explain governance in business language.
• Focus on day-to-day delivery for one or more complex but bounded data governance engagements, managing plans, timelines, risks, and stakeholder communication.
• Translate governance strategy into concrete plans and workstreams—including working groups, policies/standards, glossaries, rules, and controls—with hands-on co‑creation alongside client teams.
• Own the quality and readiness of deliverables (operating model, definitions, DQ rules, playbooks) and provide direct coaching to client stewards and project team members.
• At the Principal level, you also:
• Co‑own account and governance strategy with Client Account Leads and Technical Account Leads, connecting the governance roadmap to the client’s broader data/AI strategy and account growth.
• Serve as a trusted advisor to executive stakeholders on governance, risk, and compliance, and play a senior role in critical pursuits and external thought leadership (e.g., talks, panels, publications).

Data Governance Leader

• Develop and refine AI and Data strategies that align with business goals and objectives.
• Identify and prioritize high-impact use cases for AI, Machine Learning, and advanced analytics across various business domains.
• Facilitate discovery sessions and workshops with client stakeholders to define strategic roadmaps and secure cross-functional alignment on objectives and business value.
• Contribute to the design of implementation roadmaps, helping to sequence long-term plans that balance technical, organizational, and process changes.
• Develop business cases that articulate the return on investment (ROI) for AI and data initiatives.
• Analyze clients' current AI and data capabilities and operating models, evaluating them against industry best practices and providing strategic recommendations.
• Communicate complex technical concepts clearly and concisely to diverse audiences, from technical teams to senior non-technical stakeholders.
• Prepare “art of the possible” sessions based on industry trends for customer organizations, and where they can play to drive organizational growth.
• Support the expansion of the Advisory practice by developing content, participating in thought leadership, and contributing to the creation of repeatable strategic frameworks and offerings.
• Guide on the responsible and ethical use of AI, including considerations for governance, bias, and compliance with regulations like GDPR or CCPA.

Senior Consultant, AI & Data Strategy

• Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals
• Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations
• Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders
• Mentor team members on best practices in AI/ML architecture, modeling, and technology.
• Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery.
• Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives.
• Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward
• Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value.
• Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.