Associate Managing Director, KDN Solution Lead - AI
Indexed description
KPMG is currently seeking an Associate Managing Director, KDN Solution Lead - AI to join our KPMG Delivery Network organization.
Responsibilities:
- Develop and own the long-term strategy, value proposition, differentiation for the AI solution and offering; analyze market trends, customer insights, and competitive landscape to shape offering direction
- Serve as the single point of accountability for stakeholders, Member Firms and customers
- Collaborate closely with sales, alliances, and customer success to drive adoption
- Engage customers directly during solution demos, roadmap presentations, and escalations; ability to foresee AI's long-term impact on industries and integrate it into organizational strategy
- Champion customer advocacy and long-term value realization
- Own the solution scale up, utilization, center strategy and P&L for the platform or solution portfolio
- Accountable for operational and Financial KPIs set for AI solution/service portfolio each financial year (FY)
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
- Minimum ten years of recent experience in AI, machine learning, data science, and advanced analytics, with proven expertise in Generative AI, LLM fine-tuning, prompt engineering, and scaling AI capabilities across enterprise environments
- Master's degree or MBA from an accredited college/university is preferred, with strong business leadership exposure and the ability to align AI initiatives with strategic business objectives; minimum of a Bachelor's degree from an accredited college/university in computer science, data science, engineering, or a related field required
- Proven experience defining and executing an enterprise AI strategy and roadmap, identifying high-impact AI use cases, evaluating emerging AI technologies, and driving an AI-first culture across the organization
- Demonstrated leadership in building, mentoring, and scaling AI/ML/data science teams, establishing best practices for model development, deployment, governance, and fostering a culture of innovation and continuous learning
- Strong expertise in AI solution architecture and end-to-end delivery, including scalable AI/ML platforms, MLOps, production deployment, responsible AI practices, ethics, bias mitigation, and regulatory compliance
- Extensive experience in executive stakeholder management, AI governance, and risk management, including defining governance frameworks, ensuring data privacy and model transparency, monitoring model performance, and collaborating with business, product, security, and data leadership teams
- Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=5012_9_26
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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