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Associate Managing Director, KDN Solution Lead - AI

Job in Pittsburgh, Allegheny County, Pennsylvania, 15289, USA
Listing for: KPMG
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Job Description & How to Apply Below
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair
360 and others. If you're as passionate about your future as we are, join our team.

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…
Position Requirements
10+ Years work experience
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