Principal Consultant (AI Workforce - Copilot)

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

• 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025) 
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Fivetran, dbt, Sigma Award Winners)
• 7x Best Places to Work
• Inc 5000 Fastest Growing US Companies (2020-2023)

We are seeking a Senior Consultant with deep experience in platforms such as Microsoft Copilot Studio, Snowflake, and Glean to help clients realize tangible, business-ready value from AI agents. Our consulting services emphasize analytics and agentic activation, data visualization, data preparation, and data science. We specialize in Snowflake, Power BI, Tableau, Sigma, Alteryx, KNIME, and AWS.

• →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.

• 3–6 years of experience in enterprise automation, digital transformation, or AI-enabled consulting.
• Direct experience with Microsoft Copilot Studio or similar low-code AI platforms (e.g., Glean, AgentForce, Amazon Q Business, OpenAI Agent Builder).
• Solid understanding of semantic layers, identity/access management, and Microsoft 365 security/compliance boundaries.
• Experience facilitating automation/AI discovery and prioritization sessions (process mapping, value sizing, ROI modeling) with business stakeholders.
• Passion for enabling the business to develop their own business process solutions with technology
• Familiarity with prompt engineering, iterative design cycles, and user testing for AI workflows.
• Strong collaboration and communication skills across business and technical audiences.
• Exposure to Power Platform, Azure OpenAI, n8n, or broader AI orchestration tools is a plus.

• Previous experience scaling Power BI at an enterprise level
• Previous experience leading teams of consultants to ensure performance, utilization and project delivery
• Experience operating in early-stage, ambiguous environments, where clients are experimenting with Copilot and agentic workflows across multiple functions.
• Design and support change management and enablement programs (playbooks, training, office hours) to help business users adopt Copilot agents and AI workflows at scale.