Analytics Solutions Manager - AI/ML Product Enablement

Analytics Solutions Manager - Databricks, My SQL, Python, Gen AI

Be an integral part of an AI/ML team within Data and Analytics team that's constantly pushing the envelope to enhance, build, and deliver top‑notch AI/ML products.

As an Analytics Solutions Manager at JPMorganChase within the Consumer & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. You will drive firmwide enablement and adoption of AI/ML capabilities—such as Generative AI and Databricks—by shaping strategy, simplifying the path to value, and aligning outcomes with JPMorganChase OKRs. Your leadership will focus on creating clarity for stakeholders, influencing product roadmaps, and unlocking measurable business impact through thoughtful governance, streamlined processes, and targeted automation.

Job responsibilities

• Leads AI/ML product enablement strategy by defining clear adoption paths, roles, and success metrics that accelerate value realization and reduce operational risk.
• Regularly provides guidance and direction to business and technology teams, contractors, and vendors—removing adoption friction, prioritizing use cases, and clarifying decision points.
• Shapes decisions that influence product design, functionality, and ways of working, balancing customer needs, controls, and long‑term scalability.
• Serves as a function‑wide subject matter expert on how to responsibly and effectively apply AI/ML to business problems, from concept validation to scaled adoption.
• Acts as an advocate for firmwide frameworks, tools, and practices across the Software Development Life Cycle, promoting consistency, simplification, and reuse.
• Influences peers and decision‑makers to evaluate and adopt leading capabilities where they create durable business value, with clear measures of success tied to OKRs.
• Establishes and tracks adoption and value metrics (e.g., time‑to‑value, delivery throughput, cost efficiency, reliability) and uses insights to iterate the enablement model.
• Partners with product managers and business stakeholders to align roadmaps with JPMorganChase OKRs, prioritize the highest‑impact use cases, and sequence investments.
• Champions targeted automation and standardization of common tasks and controls to reduce manual effort, improve quality, and speed delivery across teams.
• Creates and delivers enablement materials (playbooks, guides, workshops) and runs forums that scale knowledge, reinforce best practices, and support change management.
• Fosters a culture of diversity, opportunity, inclusion, and respect through mentoring, recognition, and community engagement.

Required qualifications, capabilities, and skills

• 7+ years in analytics, data, or AI/ML‑adjacent roles, including 3+ years leading cross‑functional product enablement or platform adoption with measurable outcomes.
• Demonstrated experience guiding teams through the full delivery lifecycle and improving stability, quality, and time‑to‑value through process and practice improvements.
• Strong ability to translate complex AI/ML concepts into clear business value propositions, stakeholder‑ready narratives, and actionable adoption plans.
• Deep understanding of how modern data and AI capabilities support product strategy, with the judgment to balance innovation, risk management, and operational scale.
• Experience operating in cloud‑enabled environments and working across multiple teams to align processes, governance, and ways of working.
• Degree in Computer Science, Engineering, Mathematics, Business, or a related field—or equivalent practical experience.
• Exceptional communication, facilitation, and stakeholder management skills; adept at aligning diverse groups around outcomes and driving decisions.

Preferred qualifications, capabilities, and skills

• Experience enabling or operating enterprise AI/ML platforms (e.g., Generative AI platforms, Databricks) and scaling adoption across multiple lines of business.
• Familiarity with responsible AI practices, governance, and controls in regulated environments, with experience partnering with risk, legal, and control functions.
• Proven track record defining and reporting OKRs and adoption KPIs, and using insights to shape product roadmaps and investment prioritization.
• Experience designing operating models that standardize and automate common workflows to improve consistency and reduce cycle times.