Job Description
Work with a nationally ranked CPA and advisory firm that is passionate for what's next.
Requirements
- Bachelor's degree in computer science, Engineering, Systems Engineering, or a related field; a graduate degree or executive education in management is a plus.
- Typically, ten or more years of experience in data, analytics, and AI, including several years leading delivery, teams, and client relationships.
- Demonstrated experience both leading and staying hands-on across the design, build, and delivery of AI and automation solutions, including generative and agentic AI (for example, multi-agent workflows, orchestration, and tool or function integration).
- Hands-on experience designing and implementing cloud data platforms (data lakes, lakehouses, or warehouses) on AWS, Google Cloud, or Azure, and leading data integration and data architecture.
- Experience owning engagement or practice profitability, including budgets, resourcing, and delivery governance.
- Strong track record of executive (C-level) stakeholder management and advisory in a consulting or professional services setting.
- Experience leading distributed or multi-region teams.
- Strong communication skills in English and Spanish.
- Experience building or scaling data and AI practice, offering, or delivery model.
- Depth in modern data platforms and data engineering tooling (for example, Snowflake or Databricks).
- Experience creating agentic AI and automation accelerators or reusable assets.
- Relevant certifications in cloud, data, solution architecture, or project and delivery management.
- Strategic and commercial mindset, able to connect AI and automation to outcomes the business can measure.
- Strong technical grounding in data platforms, data architecture, and AI, able to set direction and stay hands-on.
- Strong leadership and people development skills across distributed teams.
- Structured, governance-minded approach to delivery, with attention to quality and predictable outcomes.
Ready to Apply?
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