phData
Senior Consultant (AI Workforce - Glean)
US - Remote · Senior
Sponsorship not specifiedDetected 202 days ago
SQLSnowflakeAWSGCPAzuredbtData EngineeringData VisualizationAgentic AIAI OrchestrationA/B TestingCommunicationCollaborationMentoringMicrosoft OfficeSharePoint
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odds of building a lasting career here
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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- 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.
Responsibilities
- Design, build, and deploy AI agents using Microsoft Copilot Studio, aligned to real business processes and roles.
- Implement agentic behaviors, including planning, tool use, contextual memory, and reflection, to deliver intelligent task execution.
- 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.
Requirements
- 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).
- 3-5 years of BI experience, including advanced knowledge of ETL, SQL, and data visualization best practices.
- Experience facilitating automation/AI discovery and prioritization sessions (process mapping, value sizing, ROI modeling) with business stakeholders.
- So, regardless of how your diversity expresses itself, you can find a home here at phData.
- Solid understanding of semantic layers, identity/access management, and Microsoft 365 security/compliance boundaries.
- 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.
- Design and support change management and enablement programs (playbooks, training, office hours) to help business users adopt Copilot agents and AI workflows at scale.
Nice to have
- 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
- Recognized as an award-winning workplace in the US, India and LATAM
- 600+ Expert Cloud Certifications (Fivetran, dbt, Sigma Award Winners)
- 7x Best Places to Work
- Inc 5000 Fastest Growing US Companies (2020-2023)
- 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.
- Experience delivering tool enablement at scale (cohorts, train‑the‑trainer, or office‑hours programs) for modern BI or AI platforms such as Alteryx, Sigma, Power BI, or MS Copilot.
Company info
- We are proud to be an equal opportunity employer.
This listing is sourced directly from phData's careers page and normalized into a canonical job model.