AI & Data Strategy Architect

Posted Yesterday
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Hiring Remotely in US
Remote
Senior level
Information Technology
The Role
Advise enterprise clients on AI and data strategies, transformation roadmaps, operating models, governance, privacy, technology rationalization, and business cases. Lead discovery workshops, executive engagements, and art-of-the-possible sessions; prioritize use cases and connect technical recommendations to business outcomes. Build the advisory practice, develop offerings, manage multidisciplinary teams, mentor staff, strengthen client and partner relationships, and support successful distributed project delivery.
Summary Generated by Built In

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

  • 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

The AI & Data Strategy Architect will be responsible for advising clients on how to utilize data and AI to drive business transformation and competitive advantage. This individual will create data and AI strategies aligned to client goals, design implementation roadmaps, and guide organizations through adoption of advanced data platforms, machine learning solutions, and responsible AI practices. The role demands strong executive presence, a deep understanding of cloud ecosystems and modern data architectures, and a proven ability to lead cross-functional teams. Additionally, the strategist will help build and expand the Advisory practice by developing offerings, cultivating client relationships, and mentoring high-performing teams in a rapidly evolving market

 Required Experience:

  • 8+ years as a hands-on AI & Data Strategy Leader who has led AI & Data Strategy engagements.
  • 4+ years previous Consulting leadership experience working with external clients, with the ability to multitask, prioritize tasks, and work across a variety of projects. 
  •  Understands the evolving AI capabilities in the industry, including their applications and how to leverage them effectively to help clients increase revenue, improve customer experience, or introduce new products to the market.
  • Brings vertical/industry expertise to bear, in making Strategic recommendations, given the nuances of each industry, e.g. Financial Services, Healthcare, Retail.
  • Experience engaging senior stakeholders, including members of the C-suite.
  • Functional Strategy Leadership expertise and/or exposure, including:
    • Identification and prioritization of business-focused opportunities.
    • Expertly balancing technical, organizational, and process recommendations.
    • Developing and sequencing long-term roadmaps.
    • Designing future state operating models.
    • Designing processes for effective data and analytical asset management.
    • Developing business cases with return on investment in mind.
    • Making recommendations that resonate with organizations, and have a clear story behind why we are making them.
    • Adept at making technical recommendations that are tied to business outcomes, including but not limited to the following areas:
  • Adept at making technical recommendations that are tied to business outcomes, including but not limited to the following areas:
    • Cloud computing.
    • Data platform development.
    • Integration patterns.
    • Data quality resolution.
    • Data Governance.
    • Privacy and security.
    • Regulatory needs.
  • Experience prioritizing use cases by value and complexity, conducting SWOT analysis, and bringing the confluence of capability and industry, to inform recommendations.
  • Can communicate relatively technical concepts to a non-technical audience verbally clearly and concisely.
  • Has facilitated discovery sessions and workshops, ensuring a focus on business value to keep all participants aligned on the objectives.
  • Had led “art of the possible” sessions to bring insights into what other organizations are doing within an industry, and to inspire client stakeholders.
  • Able to guide on technology rationalization decisions, taking into account criteria such as total cost of ownership (TCO) and business need in mind.
  • Knowledge of industry-wide strategy frameworks, principles, and best practices.
  • Knowledge of global privacy requirements, e.g. GDPR, CCPA.
  • Proven ability to lead and manage a team of Business Analysts, Technical Architects, Data Engineers, and Change Leaders while fostering internal growth through coaching, mentoring, and performance management.
  • Proven track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery team members across distributed global teams, ensuring seamless, successful project delivery outcomes.
  • Ability to create strong cross-practice relationships to drive customer success.
  • Exhibits a strong sense of ownership in resolving challenges, committed to ensuring exceptional outcomes for all aspects of project execution.
  • A vision for how the Data and AI industry is evolving, and the value that evolutions will bring to the organizations that we serve.
  • Strong client-facing written and verbal communication skills and experience; ability to deliver presentations with compelling storylines, tailored to the target audience, from technical stakeholders through to executive teams.
  • Ability and willingness to travel up to 50% per month

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Skills Required

  • 8+ years of experience as a hands-on AI and data strategy leader who has led AI and data strategy engagements
  • 4+ years of consulting leadership experience working with external clients
  • Understanding of evolving AI capabilities, applications, and business value
  • Vertical or industry expertise, such as financial services, healthcare, or retail
  • Experience engaging senior stakeholders, including C-suite executives
  • Strategy leadership experience identifying and prioritizing business opportunities
  • Experience developing long-term roadmaps and future-state operating models
  • Experience managing data and analytical assets and developing ROI-focused business cases
  • Ability to make technical recommendations across cloud computing, data platforms, integration, data quality, governance, privacy, security, and regulatory needs
  • Experience prioritizing use cases by value and complexity and conducting SWOT analysis
  • Ability to communicate technical concepts clearly to nontechnical audiences
  • Experience facilitating discovery sessions, workshops, and art-of-the-possible sessions
  • Ability to guide technology rationalization decisions using total cost of ownership and business needs
  • Knowledge of industry strategy frameworks, principles, and best practices
  • Knowledge of global privacy requirements, including GDPR and CCPA
  • Experience leading and managing business analysts, technical architects, data engineers, and change leaders
  • Experience collaborating with client stakeholders, technology partners, sales teams, delivery teams, and distributed global teams
  • Strong client-facing written and verbal communication and presentation skills
  • Ability and willingness to travel up to 50% per month
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The Company
HQ: Minneapolis, MN
202 Employees
Year Founded: 2014

What We Do

phData Premier provider of Big Data managed services and architecture, engineering, and data science consulting.

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