Develop end-to-end technical production solutions ensuring performance, security, and scalability. Create detailed solution documentation and deliver presentations to clients.
phData
42 Remote Job Openings at phData
Lead the end-to-end architecture and implementation of production-grade machine learning and data solutions for enterprise clients. Collaborate with cross-functional teams to translate business requirements into scalable MLOps environments and actionable insights.
Lead the end-to-end architecture and implementation of production-grade machine learning and data solutions for enterprise clients. Collaborate with cross-functional teams to translate business requirements into scalable MLOps solutions and provide strategic technical leadership.
Lead the design and implementation of scalable AI governance frameworks and operating models for enterprise clients. Partner with senior leadership to align AI strategy with risk management, value realization, and FinOps guardrails.
Lead end-to-end AI and data strategy engagements, from problem definition and roadmap design to the delivery of measurable business outcomes. Serve as a trusted advisor to C-suite executives while mentoring consultants and developing the firm's strategic offerings.
Act as a hybrid Engagement and Delivery Lead for complex data and AI programs, serving as the primary point of contact for client sponsors. Responsible for translating strategy into roadmaps, managing engagement financials, and orchestrating multi-geo technical teams to ensure business impact.
Act as a hybrid Engagement and Delivery Lead accountable for the success of complex AI and data programs. Orchestrate multi-geo teams to translate client strategy into measurable business impact and manage engagement financials.
Oversee multiple high-visibility data and AI projects for strategic accounts, ensuring alignment between internal delivery teams and C-level client stakeholders. Drive account growth and profitability while mentoring multidisciplinary teams and enhancing delivery best practices.
The Principal Product Manager owns the vision and roadmap for client data and AI platforms, aligning technical strategies with business objectives. They act as a trusted advisor to executive stakeholders, translating business needs into actionable technical direction for cross-functional teams.
Own and drive the account strategy, delivery, and growth for a portfolio of strategic Financial Services accounts. Act as a trusted advisor to senior client stakeholders to translate business objectives into AI and data programs.
Design and implement end-to-end production data solutions ensuring performance, security, and scalability. Lead and mentor other engineers while delivering detailed technical documentation and presentations to clients.
Build and lead the India-based Agentic Delivery Center from the ground up, transforming client needs into scalable AI/ML platforms and agentic solutions. Serve as a principal architect and senior consulting leader to ensure delivery excellence for strategic global enterprise customers.
The Data Engineer will design, build, and productionize cloud data platforms and pipelines for reliable analytics and AI solutions. They will collaborate with various stakeholders to ensure high-quality deliverables and drive successful client engagements.
Design and deliver scalable analytics, reporting, and data visualization solutions for enterprise clients using Power BI and modern data platforms. Collaborate with stakeholders to translate business requirements into impactful dashboards and provide technical leadership on data governance.
Lead the strategy, architecture, and delivery of enterprise Power BI solutions to help clients derive value from their data. Collaborate with stakeholders and engineering teams to standardize best practices and scale modern BI capabilities.
The Territory Director is responsible for scaling business by sourcing new customers and managing strategic relationships within the cloud data ecosystem. Key duties include exceeding sales targets across data and AI practice areas and co-selling with partners like Snowflake and AWS.
Lead the people-centric components of AI and data transformations to drive successful adoption and cultural shifts. Develop change management strategies, communication programs, and strategic roadmaps while facilitating stakeholder alignment.
Lead the delivery of enterprise-wide AI adoption and change management programs to maximize the use of AI-powered workflows and data platforms. Act as a trusted advisor to senior stakeholders while driving practice growth and developing reusable AI adoption assets.
The Program Manager will oversee multiple high-visibility data and AI projects while ensuring alignment across internal teams and customer stakeholders. They are responsible for managing project financials, mitigating risks, and mentoring a team of consultants to drive account success.
The Territory Director is responsible for scaling the business by sourcing new customers, managing strategic partner relationships, and exceeding sales targets across data and AI practice areas. They will lead regional growth strategies, navigate complex sales cycles, and collaborate with internal teams to deliver transformative solutions.
The Director will lead AI adoption and change management initiatives, driving enterprise-wide implementation of agentic AI and LLM-powered solutions. This role involves overseeing pre-sales engagements, delivery quality, and building long-term customer success strategies.
The AI Automation Engineer will partner with business groups to assess feasibility and design end-to-end AI and automation solutions. They will build and maintain AI-driven applications and automated workflows to improve operational efficiency across the organization.
The AI Automation Engineer will partner with business groups to assess feasibility and design end-to-end AI and automation solutions. They are responsible for building AI-driven applications, implementing RPA workflows, and ensuring high-quality, production-grade code delivery.
The role involves designing and implementing end-to-end data solutions in production, ensuring performance, security, scalability, and robust data integration across major cloud platforms. This includes developing technical solutions and providing mentorship to other engineers.
Senior Director, Intelligence Platform Strategy & Executive Advisory
phData
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Full Time
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2 months ago
phData
This role involves defining and operationalizing Intelligence Platform and AI advisory offerings, connecting data and AI platforms to clear business outcomes, and codifying successful approaches into repeatable frameworks. Responsibilities also include partnering with Sales for deal shaping, leading key advisory engagements, and equipping field teams for successful positioning and delivery.
The Territory Director is responsible for exceeding quarterly/annual sales targets across all practice areas and co-selling transformative data and AI engineering services with partners like Snowflake and AWS into enterprise companies. This role also involves driving lead generation activities and taking accountability for the phData brand, sales, delivery, and overall customer success within the assigned territory.
Design, build, and deploy AI agents using Microsoft Copilot Studio aligned with real business processes, translating manual workflows into autonomous agents using low-code/no-code tools. Implement agentic behaviors like planning and tool use, and integrate Copilot solutions with enterprise systems like Power BI, SharePoint, Outlook, and Teams.
Design, build, and deploy AI agents using Microsoft Copilot Studio aligned with business processes, translating manual workflows into autonomous agents using low-code/no-code tools. Responsibilities also include integrating Copilot solutions with enterprise systems and embedding alongside client teams to model best practices for Glean use cases.
The role involves partnering with senior stakeholders to define AI Workforce roadmaps and leading the design of production-grade agentic systems using Snowflake Intelligence and Cortex Search, emphasizing configuration over custom code. Responsibilities also include architecting RAG solutions, advising on governance policies, and mentoring junior consultants on end-to-end project ownership.
Principal Consultant (AI Workforce - Snowflake Intelligence)
phData
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Full Time
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3 months ago
phData
The Principal Consultant will partner with senior and C-Suite stakeholders to define AI Workforce roadmaps and lead the design of complex, production-grade agentic systems using Snowflake Intelligence and Cortex AI, emphasizing configuration over custom code. Responsibilities also include architecting high-accuracy RAG solutions, advising on governance policies, and mentoring junior consultants.
Design, build, and deploy AI agents using Microsoft Copilot Studio aligned with business processes, translating manual workflows into autonomous agents using low-code tools. Responsibilities also include integrating Copilot solutions with enterprise systems and embedding with client teams to model best practices for Glean use cases.
Design, build, and deploy AI agents using Microsoft Copilot Studio aligned with business processes, translating workflows into autonomous agents using low-code/no-code tools. Responsibilities also include integrating Copilot solutions with enterprise systems, supporting enablement, and embedding with client teams on Glean use cases.
The Senior Consultant will embed governance and stewardship by executing hands-on activities like metadata cataloging and applying practical data quality controls for clients. This role also requires acting as a communicator and facilitator to form working groups and coach client staff on data ownership.
The role involves delivering project-based consulting engagements, helping clients develop analytical requirements through prototyping and visualization, and managing client expectations via status reports and working sessions. Responsibilities also include creating reporting solutions, analyzing performance issues, and recommending best practices for data models and platform architecture.
Propose, design, and provision cloud-native data solutions while leading a technical team managing modern data platforms. Provide thought leadership and ensure successful delivery of projects across multiple customer accounts.
Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure. Manage multiple customer engagements to ensure timely project delivery and optimize operations.
The Solutions Architect will design and implement data solutions, ensuring performance, security, scalability, and robust data integration. They will also mentor other engineers and develop end-to-end technical solutions.
Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure. Manage multiple customer engagements to ensure timely project delivery and optimize operations.
The Principal Solutions Architect will design and implement data solutions while leading a team of Solution Architects and Data Engineers. They will collaborate with client stakeholders and technology partners to ensure successful project delivery outcomes.
As a Principal Solutions Architect, you will architect end-to-end AI/ML solutions and lead a team to build platforms that meet customer requirements. You will also engage with clients to understand their AI/ML goals and drive account growth.
The Solutions Architect will design and implement data solutions while ensuring performance, security, scalability, and robust data integration. This role involves developing end-to-end technical solutions and mentoring other engineers.
Design and implement data solutions to meet customer needs, ensuring model deployment and operational integrity. Collaborate with data scientists to transform data into actionable insights and maintain solution lifecycle.
