American Express
Director, Talent Acquisition Modernization
New York, NY · Hybrid · Director · Full-time · Posted Nov 2, 2026
- Experience
- 10+ years.
- Visa sponsorship
- Employment eligibility to work with American Express in the U.S. is required; the company will not pursue visa sponsorship for these positions.
About the job
Leads American Express’s global Talent Acquisition modernization strategy and delivery, transforming its operating model, processes, and technology to improve hiring outcomes and experiences.
What you'll do
- Define and deliver a multi-year Talent Acquisition transformation roadmap, operating model, and strategic portfolio.
- Optimize recruiting processes and implement automation, digital, and AI-enabled capabilities with appropriate governance and risk controls.
- Build cross-functional alignment, lead change management, and measure transformation outcomes using performance data.
What they ask for
- 10+ years developing and delivering large-scale business, technology, or Talent Acquisition transformation strategies through implementation and measurable value realization in complex, global organizations.
- Strong understanding of Talent Acquisition operations, end-to-end recruiting processes, recruiting technologies, and workflow automation.
- Demonstrated ability to lead cross-functional change, influence executive stakeholders, build alignment without direct authority, and deliver measurable outcomes.
- Experience in program management, strategic planning, organizational leadership, analytical measurement, and executive-level communication.
Nice to have
- Experience leading or implementing AI-enabled solutions in Talent Acquisition, HR, or broader business operations.
- Experience with responsible AI practices or digital transformation using emerging technologies, intelligent automation, or AI.
Pay
$123000 - $215250 annually (base salary)
AI focus
Leads responsible adoption and scaling of AI-enabled recruiting capabilities to improve recruiter productivity, candidate and hiring manager experiences, and decision quality; ensures alignment with governance, risk, privacy, and responsible AI standards.
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