phData

Program 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, Data & AI

QA Automation Engineer

• Partner with business groups to identify AI/automation opportunities, assess feasibility (viability, data, integration, ROI, readiness), translate problems into technical plans, communicate recommendations, and help prioritize demand across the portfolio.
• Design, build, and refine AI‑driven applications and agents (RAG, prompt engineering, agent architectures) for internal and occasional client use on platforms like Glean, Microsoft Copilot, and Snowflake Intelligence.
• Implement RPA, scripting, and low‑code/no‑code workflows to automate repetitive processes, integrate systems and data sources, and operate/optimize automations for reliable, end‑to‑end execution.
• Write production‑grade code for AI and automation solutions with strong documentation, testing, and SDLC discipline, using modern engineering practices (Git, code review, CI/CD) to ensure quality and maintainability.
• Work with cross‑functional teams to deliver solutions, clearly communicate value to technical and non‑technical stakeholders, and align work with priorities through agile planning.
• Share best practices, track and experiment with emerging AI/automation tools, inform leadership through prototypes and production learnings, and help select and operate secure, governed cloud AI services.

Senior AI Automation Engineer – Internal Platform

Executive Assistant

• Support phData’s executive leadership team, managing complex calendars and orchestrating leadership rhythms.
• Coordinate large-scale meetings and serve as a first point of contact for inbound requests to executives.
• Prepare materials in partnership with the Chief of Staff and executive team, ensuring clarity and polish.
• Build strong relationships across teams, anticipating executive needs and proposing solutions.
• Help build processes for the executive office and support team culture initiatives.

Solutions 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.
• Collaborate with a diverse team to foster technological curiosity and ownership.

Solutions Architect

Data Engineer

• Join phData, a dynamic and innovative leader in the modern data stack.
• Partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt.
• Deliver cutting-edge services and solutions to help global enterprises overcome their toughest data challenges.
• Work in a casual, exciting environment with autonomy to deliver results.

Senior Data Engineer

Director

• Define and refine the Intelligence Platform and AI advisory offerings.
• Connect data platforms, analytics, AI/ML, and agentic workflows to clear business and financial outcomes (growth, efficiency, risk).
• Shape how Advisory supports phData’s 2026 AI strategy.
• Codify successful approaches into frameworks, toolkits, and templates that are credible in the boardroom and actionable for delivery teams.
• Monitor market and partner trends (Snowflake, AWS, etc.) to keep offerings differentiated and up to date.
• Partner with Sales and CEM roles to shape and close complex, multi-phase Intelligence Platform and AI transformation deals.
• Lead or support executive-facing discovery and framing conversations, helping crystallize the problem statement, value case, and transformation roadmap.
• Design and package executive-facing offerings (e.g., CXO workshops, AI/Intelligence Platform briefings) that improve win rates and deal size.
• Use advisory engagements to identify and qualify follow-on work across the Intelligence Platform stack.
• Support commercial decisions on scope, phasing, and risk, balancing client value with margin and scalability, while respecting the commercial ownership defined in the CEM.
• Personally lead or co-lead key advisory and strategy engagements, including workshops, roadmaps, and executive readouts.
• Ensure advisory work is tightly integrated with delivery, so recommendations are implementable by phData’s core practices.
• Help stand up early lighthouse programs that demonstrate the Intelligence Platform in action and capture patterns for reuse.
• Hold a high bar for executive-ready outputs—structured, concise, financially grounded, and aligned to client strategic narratives.
• Equip field teams to position, sell, and deliver advisory and Intelligence Platform offerings through training, artifacts, and shadowing- including effective geo-leverage (US, India, LATAM).
• Contribute to consulting methods, toolkits, and operating rhythms that raise quality and consistency across advisory and delivery.
• Mentor senior consultants and managers on strategic thinking, executive presence, and storytelling.
• Represent Advisory in internal forums, helping align strategy, GTM, and delivery around a coherent Intelligence Platform narrative.

Senior Director, Intelligence Platform Strategy – Executive Advisory

Vice President

• Provide clear strategic direction for all Anthropic-related go-to-market activities in the region, aligning Sales, Account Leaders, Solutions, and Marketing to shared goals.
• Establish and reinforce a high-accountability, high-collaboration culture around the Anthropic partnership, ensuring roles, responsibilities, and expectations are well-defined.
• Coach and enable regional sales and account teams on how to position Anthropic, when to bring them into deals, and how to co-create value for clients.
• Partner with Talent Acquisition, L&D, and People teams to ensure we have the right mix of field, solution, and delivery talent to support Anthropic-driven opportunities.
• Serve as the primary executive owner for the Anthropic relationship within the region, maintaining strong, trust-based relationships with Anthropic’s sales, alliances, marketing, and product leaders.
• Co-create and execute a joint regional business plan with Anthropic, including revenue targets, focus industries, hero use cases, and territory/account alignment.
• Lead joint account mapping, pipeline reviews, and QBRs with Anthropic to identify net-new opportunities, expansion plays, and multi-threaded executive relationships.
• Ensure phData is positioned as a go-to services and implementation partner for Anthropic, including representation in partner directories, sales plays, and field communities.
• Bring structured field feedback (market signals, competitive dynamics, customer needs) back to both Anthropic and internal leadership to influence roadmap, offers, and investment decisions.

Regional Vice President, Partner Leader

DevOps Engineer

• Supporting and managing modern data platforms - from streaming, to data lakes, to analytics, and beyond across a progressively evolving technical stack.
• Ability to learn new technologies in a quickly changing field
• Owns the execution of Tasks and questions around Tasks other Engineers are working on related to the project.
• Responds to Pager Incidents. Solves hard and challenging problems. Goes deep into customer processes and workflows to solve issues.
• Demonstrate clear ownership of tasks on multiple simultaneous customer accounts across a variety of technical stacks.
• Continually grow, learn, and stay up-to-date with the Managed Services technology stack.
• 24/7 rotational shifts

DevOps Engineer, Cloud

AI Engineer

• Monitor the AI and data landscape and translate emerging trends into clear, differentiated perspectives that strengthen phData’s voice in the market.
• Expand phData’s visibility and authority across social and industry channels.
• Own the strategic content roadmap and ensure phData’s thinking shows up consistently across the market.
• Lead a high-quality content engine that blends strategy, creativity, and AI-enabled workflows.

Director, Content Strategy – AI Leader

Salesforce Administrator

• Support general Salesforce administration activities, configuration changes, and support new development initiatives
• Develop systems to continuously validate that rules, flows, and sales processes are working properly
• Create and maintain users, roles, profiles, security settings, custom objects, permissions, and sharing rules
• Enhance Salesforce data quality through automation and rules, and the meticulous management of raw data
• Proactive system maintenance, including security reviews, release updates, health checks, and optimizer
• Manage the Salesforce sandbox environment and maintain clear change management (testing and documented approvals within JIRA) before deploying changes to production
• Provide ongoing end-user and key stakeholder training and documentation, including ad-hoc Salesforce support across the organization
• Support Salesforce-related needs of integrated applications, including but not limited to Sigma, Crossbeam, HubSpot, Gong, and ZoomInfo
• Cleanse and modify data that’s inaccurate, duplicate, incomplete, or incorrect to ensure accuracy and consistency
• Verify that data is updated, useful, accurate, and reliable to maintain a high, consistent standard of data quality
• Develop and implement operational data management processes for recurring and ad hoc data-related tasks
• Monitor the quality of data by tracking key performance indicators to prevent or proactively resolve data issues (i.e., know our data)

Salesforce Administrator – Revenue Operations

Artificial Intelligence

• Design, build, and deploy AI agents using Microsoft Copilot Studio, aligned to real business processes and roles.
• Translate manual or semi-structured business workflows into autonomous agents using low-code/no-code tools within the Microsoft ecosystem.
• Implement agentic behaviors, including planning, tool use, contextual memory, and reflection, to deliver intelligent task execution.
• Integrate Copilot solutions with enterprise systems such as Power BI, SharePoint, Outlook, and Teams.
• Support internal teams in enablement, governance, lifecycle management, and safe experimentation with Copilot agents.
• Develop and iterate on prompt templates, AI guardrails, fallback strategies, and continuous feedback loops to improve agent performance.
• Partner with IT, data, and security teams to ensure responsible, governed, and scalable agent deployments.
• Embed alongside client analytics and BI teams in a staff‑augmentation model, pairing on real Glean use cases while modeling best practices in semantic modeling, governance, and agent design.
• Lead recurring enablement touchpoints (developer workshops, guided build sessions, office hours) to help client teams independently design, deploy, and iterate on Glean agents.
• Co‑create reusable enablement assets (playbooks, labs, prompt libraries, “how‑to” guides) that client champions can use to scale training across business units.

Senior Consultant – AI Workforce, Glean

Product Marketing

• Develop clear, differentiated value propositions, positioning, and messaging for products and solutions
• Translate features into customer outcomes, not buzzwords
• Maintain messaging frameworks that scale across personas, industries, and use cases
• Own GTM plans for new product launches and major releases—from strategy to execution
• Partner with Product, Sales, and Demand Gen to ensure launches land
• Define target audiences, personas, and use-case prioritization
• Equip Sales with the tools they actually use: pitch decks, talk tracks, battlecards, FAQs, demos, and objection handling
• Train Sales and Practice teams on positioning, competitive differentiation, and how to win
• Be the “voice of reason” when sales asks for everything
• Conduct customer research, win/loss analysis, and market analysis
• Track competitors and keep competitive insights current and usable
• Bring customer and market perspective into product roadmap discussions
• Act as a strategic partner to Product Management, not a downstream order taker
• Align with Demand Gen, Content, Brand, and Partners to ensure consistency and impact
• Drive clarity across teams

Product Marketing Manager

• 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

• 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