phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services

Information Technology

251-1K (443)

28 open positions

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AI & Data Strategy Architect

1 month, 1 week ago

United States

Full-time

Lead

AI (Artificial Intelligence)

Software Development

AWS Azure dbt Machine Learning Snowflake

Apply Now

phData

IT Services

251-1K

View All Jobs 28

Description

Develop data and AI strategies aligned with client business goals.
Design implementation roadmaps, future-state operating models, and data management processes.
Advise clients on cloud computing, data platforms, integration, governance, privacy, security, and regulatory requirements.
Prioritize data and AI use cases by business value and complexity, including SWOT and technology-rationalization analysis.
Facilitate discovery workshops and “art of the possible” sessions focused on business outcomes.
Engage C-suite and senior stakeholders through clear presentations and compelling recommendations.
Lead cross-functional teams of Business Analysts, Technical Architects, Data Engineers, and Change Leaders.
Build client relationships and collaborate with technology partners, sales teams, and delivery teams across global locations.
Develop advisory offerings, strengthen cross-practice relationships, and mentor high-performing teams.

Requirements

8+ years of experience as a hands-on AI and Data Strategy leader leading strategy engagements.
4+ years of consulting leadership experience with external clients and multiple concurrent projects.
Experience applying evolving AI capabilities to revenue growth, customer experience, and new product development.
Industry expertise in areas such as financial services, healthcare, or retail.
Experience engaging senior stakeholders, including C-suite executives.
Expertise in business-focused opportunity identification, roadmap development, operating models, business cases, and ROI analysis.
Knowledge of cloud ecosystems, modern data architectures, data platforms, integration patterns, data quality, governance, privacy, security, and regulatory needs.
Knowledge of industry strategy frameworks and global privacy requirements such as GDPR and CCPA.
Experience facilitating workshops and explaining technical concepts to non-technical audiences.
Proven team leadership, coaching, mentoring, client communication, and distributed global collaboration skills; willingness to travel up to 50% per month.

Benefits

Remote-first work environment.
Opportunity to work with enterprise clients and partners including Snowflake, AWS, Anthropic, Glean, and dbt.
Ownership and autonomy in a high-growth consulting environment.
Inclusive workplace and equal opportunity employment commitment.

Interested in this position?

Apply directly on the company website

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