Analytics Solutions Manager - Machine Learning Centre of Excellence Business Operations - Vice President

Join us in the Machine Learning Center of Excellence, where you can help shape the future of AI and machine learning. You’ll work alongside experts from diverse backgrounds, collaborating across teams to deliver high-impact solutions. We value your creativity, initiative, and technical skills, offering opportunities for growth and career mobility. As part of our community, you’ll contribute to responsible and scalable AI/ML delivery, making a real difference in how we solve business challenges.

As an Analytics Solutions Manager in the Business Operations team within the Machine Learning Center of Excellence, you will partner with senior leaders, data scientists, engineers, and product managers to drive strategic initiatives and operational excellence. You will collaborate with supporting functions such as Finance & Business Management, Human Resources, Real Estate, and Global Technology to build the foundation for impactful AI/ML solutions. You will help facilitate smooth day-to-day operations, bring innovative thinking to process improvement, and act as a trusted partner to leadership. Your work will empower the team to focus on delivering responsible, scalable AI/ML solutions that create real impact.

Job Responsibilities:

• Shape and deliver strategic business operations initiatives that enhance knowledge sharing, collaboration, and operational maturity
• Enable responsible and scalable deployment of AI/ML solutions by embedding governance, controls, and compliance best practices into workflows
• Design, build, and evolve streamlined and automated processes and reporting frameworks using tools such as Monday.com, Figma, Alteryx, Tableau, Lucidspark, and Excel
• Support financial management including budgeting, forecasting, cost tracking, and policy adherence, identifying opportunities for efficiency and transparency
• Partner with HR, BSM, and hiring managers on talent integration, real estate operations, space planning, and location strategies
• Act as a resource for team members navigating internal compliance, controls, and firm policies
• Support calendar management, meeting coordination, and travel and expense administration
• Contribute to high-priority business operations projects with initiative and fresh thinking

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in a relevant field
• Experience leading project management functions in technology, finance, or related areas
• Demonstrated experience in governance, controls, or compliance within a technology or financial services environment
• High proficiency in Excel and technical aptitude with tools such as Monday.com, Figma, Alteryx, Tableau, and Lucidspark
• Ability to create automated workflows, dashboards, and data-driven insights
• Innovative and solutions-oriented mindset with strong creative and technical skills
• Excellent written and verbal communication skills
• Superb organizational and project management abilities
• Passion for AI/ML and responsible advancement of AI/ML capabilities
• Strong team player who thrives in collaborative, cross-functional settings
• Self-motivated with the ability to work independently and drive results

Preferred Qualifications, Capabilities, and Skills:

• Master’s degree in Business, Technology, Finance, or Data Science
• Prior experience in an AI/ML, data science, or technology-focused organization
• Ability to use Python
• Familiarity with enterprise-level control frameworks and risk management practices
• Experience designing or optimizing operational processes at scale within a matrixed organization

The Machine Learning Center of Excellence (MLCOE) partners across the firm to build and deliver high-impact machine learning solutions for its most challenging business problems. We actively collaborate with data analytics, engineering and product teams across all functions – from sales and trading to digital, operations, finance and risk – and every line of business from wholesale banking through to retail.  Comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning, the MLCOE employs cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning in domains such as natural language processing, speech analytics, time series, graph analytics and large language models.  For more information about MLCOE, please visit https://www.jpmorgan.com/mlcoe.

Why Join Us?
You’ll be part of a team that values innovation, collaboration, and continuous improvement. We offer opportunities to grow your career, work with industry leaders, and make a meaningful impact through responsible AI/ML delivery.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our

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Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.