Senior Business Consultant (AI)
NICE ActimizeIndia - PunePosted 7 April 2026
Tech Stack
Job Description
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
AI Business Consultant - AI Center of Excellence | Pune, India (Global Coverage)
What's the Role All About?
The AI Business Consultant, is a pivotal role within our Customer Services Automation AI Center of Excellence. As NICE scales AI adoption across its global enterprise customer base, this role serves as a core execution and insight engine within the AI Center of Excellence. You will work across regions to ensure AI solutions move beyond deployment into trusted, sustained, and value-generating usage.
This role is designed for experienced consultants who want to operate at the intersection of AI, contact center operations, and measurable business outcomes, with real ownership over adoption success
How Will You Make an Impact?
Drive AI Adoption and Stabilization
Support AI adoption and post-deployment stabilization for a global portfolio of enterprise customers.
Execute adoption playbooks in partnership with regional consultants across EMEA, APAC, and North America.
Lead reinforcement activities that drive sustained usage, trust, and behavioral change.
Optimize AI Performance
Provide hands-on optimization of AI outputs, including prompt engineering, knowledge alignment, and workflow tuning.
Support Behavioral UAT by validating user acceptance, workflow fit, and AI trust indicators.
Identify early adoption risks and corrective actions using usage, operational, and behavioral data.
Analyze and Operationalize Insights
Analyze AI usage patterns, contact center KPIs, and operational signals to surface optimization opportunities.
Build adoption scorecards and insight summaries used by customer-facing teams and internal leadership.
Translate data into clear recommendations that improve efficiency, quality, and AI ROI.
Partner and Lead Without Authority
Partner closely with regional consultants, delivery teams, and operations leaders to drive aligned execution.
Lead remote working sessions with supervisors and operations teams to reinforce best practices.
Surface recurring adoption challenges and structured product feedback to internal teams.
Willingness to work in US shift (5 PM – 2 AM IST)
What makes this role compelling
Global exposure across enterprise customers in multiple regions
Deep hands-on experience with AI adoption, not just deployment
Real ownership of outcomes, not just deliverables
High visibility within a global AI Center of Excellence
Clear path toward senior consulting, principal, or specialist AI roles
Have You Got What It Takes?
4-8 years of experience in CCaaS consulting, CX operations, AI-enabled self-service, or related domains
Strong understanding of contact center KPIs and operational workflows
Hands-on experience with conversational AI, agent assist, summarization, or automation solutions
Practical experience using prompt engineering to improve generative AI performance
Strong analytical skills with comfort interpreting trends across large datasets
Ability to work effectively across time zones with global stakeholders
Experience supporting enterprise or global customers is strongly preferred
Excellent verbal, written communication, and presentation skills are a must.
Willingness to work in US shift (5 PM – 2 AM IST)
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be ou ... (truncated, view full listing at source)
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