Senior AI/ML Portfolio Lead, Governance & Technology
Company: JPMorganChase
Location: Columbus
Posted on: April 4, 2026
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Job Description:
Description Job Summary As a Senior AI/ML Portfolio Lead, you
will play a critical role in enabling AI/ML use cases during
ideation, promoting them to our AI portfolio, and managing the
portfolio. You will oversee the AI and machine learning portfolio,
ensuring alignment with firmwide AI governance frameworks. This
role partners closely with the Chief Data & Analytics Office
(CDAO), AI4Tech programs, AITMC, CyberTwin initiatives, and other
key stakeholders to ensure robust governance, risk management, and
strategic portfolio execution of AI-driven technology solutions.
This position requires deep expertise in AI governance, portfolio
management, and technology risk controls. You will drive strategic
initiatives that align with JPMC's Protect the Firm strategy and AI
governance standards. Job Responsibilities Guide onboarding of
AI/ML use cases for rapid ideation, manage secure user permissions,
support experiments, analyze results, facilitate decision reviews,
and maintain user engagement. Oversee the CTC AI/ML Lab platform
with AWS services, supporting the full ML lifecycle (data
preparation, model training, testing, deployment). Ensure adherence
to JPMC data protection policies and AWS security best practices;
implement access controls and encryption. Monitor ML model and
platform infrastructure performance on AWS; optimize resource usage
and scaling. Collaborate with data scientists, developers, and
business units; facilitate training and support for platform users.
Identify and mitigate risks related to model accuracy, data
privacy, and cloud service disruptions. Lead AI portfolio
management of AI/ML use cases that successfully graduate out of the
ideation stage from the laboratory within CTC, overseeing use
cases, model lifecycle governance (MDLC), and risk/compliance
assessments with CDAO and AI4Tech teams. Ensure alignment with AI
governance frameworks, including CAB approvals, model registration,
and compliance with firm policies and regulatory requirements.
Drive strategic planning, prioritization, and resource allocation
for AI initiatives across technology and control environments. Lead
cross-functional teams and influence senior stakeholders to foster
responsible AI adoption and continuous improvement. Lead reporting
and metrics to assess the impact of the AI portfolio on
productivity, risk reduction, and employee experience, while
representing CTC in firmwide AI governance forums to shape policy
and advance industry leadership. Required Qualifications,
Capabilities, and Skills Minimum 7 years of experience in
technology portfolio management, risk management, or AI governance
within a large financial institution or comparable environment.
Proficiency in AWS services (EC2, S3, Lambda, SageMaker), with
strong ML concepts/workflows, and terraform experience. Ability to
write/maintain scripts for automation and patch deployment;
familiarity with Python, Java, or similar languages. Experience
managing cloud-based infrastructure/applications; knowledge of
system monitoring tools. Experience applying cybersecurity
principles and practices in cloud environments by implementing
security patches, ensuring compliance, diagnosing and resolving
technical issues, and assessing the impact of patches and updates.
Manage projects related to patch creation/deployment; coordinate
with cross-functional teams and manage timelines. Proven leadership
at SVP or equivalent level managing complex AI/ML portfolios or
technology risk programs. Deep understanding of AI governance
frameworks, model lifecycle management, regulatory compliance, and
risk controls. Experience working with cross-functional teams (data
science, tech ops, risk, compliance). Excellent communication,
stakeholder management, and influencing skills at senior leadership
levels. Ability to navigate complex regulatory environments and
drive firmwide adoption of governance standards. Preferred
Qualifications, Capabilities, and Skills Familiarity with JPMC
internal tools (LUMA, MISIX, SEAL) for AI model/use case
governance. Experience with cloud platforms (AWS, Azure) and AI
operationalization frameworks. Knowledge of agentic AI, generative
AI, and emerging AI technologies relevant to financial services.
Prior experience in cybersecurity or technology controls within a
regulated financial services firm. Strong knowledge of JPMC's
AI4Tech strategy, CDAO platform capabilities, and Protect the Firm
principles .
Keywords: JPMorganChase, Kettering , Senior AI/ML Portfolio Lead, Governance & Technology, IT / Software / Systems , Columbus, Ohio
