
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $2.5M Seed Round on 2018-03
Artificial Intelligence • SaaS • Enterprise
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
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201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $2.5M Seed Round on 2018-03
Artificial Intelligence • SaaS • Enterprise
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
• Shape and deliver data and AI platforms/products that solve real business problems, partnering with architects, engineers, analysts, and change leaders. • Turn business goals into clear requirements, user stories, and backlogs; lead agile planning and execution across cross-functional teams. • Define and track KPIs and success metrics across business, customer, product, and delivery; use data to drive prioritization and iteration. • Ensure quality, adoption, and continuous improvement through testing, validation, stakeholder feedback, and iteration. • Communicate clearly with business and technical stakeholders, surfacing risks early and driving alignment on decisions. • Senior Consultant: Lead core product workstreams within broader engagements and manage day-to-day coordination and workstream-level stakeholders. • Lead Consultant: Own engagement-level product vision, roadmap, and KPIs across multiple workstreams, and contribute to proposals, estimates, and key client conversations.
• Experience in product management for data, analytics, or AI platforms/products (consulting, SaaS, or enterprise). • Hands-on exposure to modern cloud data platforms (e.g., Snowflake, Databricks, AWS/Azure/GCP) and strong data & AI literacy. • Proven ability to lead cross-functional teams in an agile environment and communicate clearly with client stakeholders. • Familiarity with data/AI architecture and governance, and experience in change-heavy transformations. • Proficiency with product/project management tools and openness to AI-enabled execution tooling; willingness to travel as required. • Significant experience owning end-to-end product outcomes for data/analytics/AI products (for Lead Consultant). • Prior external consulting experience and contributions to business development (for Lead Consultant). • Recognized as a go-to SME, comfortable with executive-facing communication, and able to shape engagement and account strategy (for Lead Consultant).
• Health insurance •401(k) matching •Flexible work hours •Paid time off •Professional development opportunities
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