About the role
As a IPA Advisory Lead, you will make an impact by helping clients transform how work gets done through AI, intelligent automation, agentic technologies, digital workforce, and operational transformation, moving them beyond technology pilots to enterprise-scale adoption and measurable business outcomes. You will be a valued member of the IOA IPA Advisory team and work collaboratively with executive and business leaders, delivery, engineering, and platform teams, and clients.
In this role, you will
AI and Digital Workforce Strategy: Partner with business and technology leaders to define AI, automation, and digital workforce strategies aligned to enterprise objectives, assessing maturity and readiness and building transformation roadmaps that prioritize value, feasibility, and risk.
Advisory and Transformation Leadership: Serve as a trusted advisor on operating model transformation, workforce evolution, governance, and adoption, facilitating executive workshops and leading complex initiatives from strategy through execution and scale.
Governance and Responsible AI: Design and implement governance and Responsible AI frameworks, advising clients on AI risk management, decision rights, standards, and policies, and supporting AI, Automation, Digital Workforce, and Agentic Centers of Excellence.
Adoption, Change, and Capability Building: Lead organizational change, adoption, and capability-building programs, including enablement strategies, communities of practice, citizen developer programs, and AI literacy initiatives that help clients realize value from technology investments.
Program Leadership, Execution, and Thought Leadership: Lead large-scale programs spanning strategy, governance, adoption, and value realization, and contribute to the evolution of IPA Advisory offerings, thought leadership, and business development.
Work model
At Cognizant, we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
12+ years of consulting, advisory, transformation, or operational leadership experience, including demonstrated success leading enterprise transformation initiatives involving AI, automation, digital workforce, process improvement, or operational excellence.
Experience advising executive stakeholders and facilitating strategic decision-making across business and technology organizations.
Strong understanding of AI, automation, agentic technologies, and digital workplace capabilities from a business transformation perspective.
Experience developing operating models, governance frameworks, adoption strategies, and capability-building programs.
Proven ability to lead cross-functional teams in complex environments, drive execution through influence, and travel to client sites as needed.
These will help you stand out
Hands-on experience with AI and automation technologies and platforms, and an understanding of agentic AI, digital labor, process intelligence, workflow automation, and enterprise AI governance.
Experience leading enterprise adoption programs, workforce transformation initiatives, and technology-enabled culture change, including user adoption frameworks, enablement strategies, communities of practice, and citizen development programs.
Ability to engage effectively with C-suite and senior executive stakeholders and facilitate strategy workshops, visioning sessions, roadmap development, and executive governance forums.
Experience supporting solution development, business cases, proposals, and client growth initiatives.
Strong understanding of value realization, KPI development, and outcome measurement.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation Applications will be accepted until October 23, 2026.
The annual salary for this position is between $180,000 - $195,000 depending on the experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
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Cognizant ist ein Arbeitgeber mit Chancengleichheit. Ihre Bewerbung und Kandidatur werden nicht aufgrund von Rasse, Hautfarbe, Geschlecht, Religion, Glaubensbekenntnis, sexueller Orientierung, Geschlechtsidentität, nationaler Herkunft, Behinderung, genetischen Informationen, Schwangerschaft, Veteranenstatus oder sonstiger durch bundes‑, landes‑ oder kommunalrechtliche Vorschriften geschützter Merkmale berücksichtigt oder abgelehnt.
