Associate Managing Director, KDN Solution Lead - AI

KPMG

$160K — $200K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum ten years experience in AI, machine learning, and advanced analytics with expertise in Generative AI and LLM fine-tuning.
  • Preferred Master's degree or MBA; Bachelor's degree in computer science, data science, or engineering required.
  • Experience defining and executing enterprise AI strategies and identifying impactful use cases.
  • Leadership in building and mentoring AI/ML/data science teams and establishing best practices.
  • Expertise in AI solution architecture and end-to-end delivery including MLOps and responsible AI practices.
  • Experience in executive stakeholder management, AI governance, and risk management.
  • Authorized to work in the U.S. without employment-based visa sponsorship.

Responsibilities

  • Develop and own the long-term strategy and differentiation for AI solutions.
  • Accountable for stakeholder engagement, serving as the single point of contact.
  • Collaborate with sales and customer success to boost solution adoption.
  • Engage customers through demos and presentations, anticipating AI's industry impact.
  • Champion customer advocacy and value realization over time.
  • Oversee solution scale-up, utilization strategy, and P&L management.
  • Accountable for meeting financial KPIs for AI services each year.

Benefits

  • Comprehensive medical and dental plans with vision coverage.
  • Disability and life insurance options available.
  • 401(k) plans to help secure your financial future.
  • Robust suite of personal well-being benefits to support mental health.
  • Personal Time Off based on job classification and years of service.
  • Two additional leave periods each year without using Personal Time Off.
Full Job 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

Qualifications:
  • 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)

KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .

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

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