AI Transformation Strategist

hireneXus

Boston (MA)

On-site

USD 180,000 - 280,000

Full time

14 days+

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Job summary

hireneXus in Boston, MA seeks a strategically minded AI transformation consultant from a top-tier consulting firm to guide portfolio companies on integrating AI into business strategy, not merely technology. Role can flex between full-time and consulting/fractional engagement depending on needs.

The role spans portfolio and company levels, advising across finance, human resources, sales, and operations, with emphasis on governance, readiness, and scalable playbooks for AI adoption.

Qualifications

  • 5–10 years of experience in transformation consulting at a top-tier firm (EY/McKinsey/PwC/Deloitte).
  • Proven ability to translate AI capability into business strategy, not just tech
  • Strong business acumen across finance, human capital, sales, and operations
  • Experience advising senior leadership and guiding cross-functional adoption

Responsibilities

  • Embed with portfolio company leadership to map AI value and build executive buy‑in.
  • Advise on AI strategy across core functions and translate capability into practical decisions.
  • Lead change management to adopt new ways of working with AI.
  • Develop a repeatable framework for AI strategy and readiness scalable across the portfolio.
  • Coach and upskill leadership to sustain progress independently over time.
  • Partner with internal Portfolio AI leadership to shape broader transformation.

Skills

AI strategy
Change management
Executive stakeholder engagement
Business acumen across finance/ops/hr
Portfolio company experience

Job description

hireneXus in Boston, MA seeks a strategically minded AI transformation consultant from a top-tier consulting firm to guide portfolio companies on integrating AI into business strategy, not merely technology. Role can flex between full-time and consulting/fractional engagement depending on needs.

The role spans portfolio and company levels, advising across finance, human resources, sales, and operations, with emphasis on governance, readiness, and scalable playbooks for AI adoption.

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