Senior Analytics Associate – Data Modernization at JPMC Candidate Experience page
Plano, Texas, United States -
Full Time


Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Product Management, Data Analytics, AI/ML Technologies, Metadata Management, Data Governance, Communication Skills, Presentation Skills, Collaboration, User-Centered Design, SQL, Python, Tableau, PowerPoint, Excel, Problem Solving, Leadership

Industry

Financial Services

Description
Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a core leader, you will drive product innovation, exceed expectations, and guide successful launches. This role offers the opportunity to shape the future of data and AI at scale. You’ll collaborate with talented colleagues and develop your expertise in product management and emerging technologies. Grow your career while making a difference for our customers and the firm. As a Senior Analytics Associate in the Data and Analytics team, you are an integral part of the group that innovates new product offerings to modernize data for AI and advanced analytics. You will focus on building next-generation tooling that enhances metadata quality, establishes readiness for AI/ML use cases, and simplifies how data is shared and consumed across the enterprise. You guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. You combine product management expertise with strong knowledge of metadata, data systems, and emerging AI technologies to deliver solutions that make data discoverable, usable, and trusted at scale. You will work closely with cross-functional teams across data foundation products, engineering, and business partners to proactively identify issues and design impactful solutions. Your leadership will help drive adoption of new functionalities and product features, ensuring our data products meet the evolving needs of the enterprise. This role provides exposure to senior business leaders and offers opportunities to influence the direction of our data and analytics strategy. Job responsibilities Define product vision, roadmap, and execution priorities for tools that modernize data for AI and enterprise consumption Lead discovery work through consulting and user-centered design to develop insights and hypotheses Break down requirements into epics, user stories, and acceptance criteria, ensuring on-time delivery of features with measurable business impact Manage backlog, partner with engineering to design and deliver solutions, track release cycles, and ensure readiness of tooling for both internal pilots and enterprise deployment Collaborate with cross-functional teams across data & analytics products, AI/ML platform, engineering, and business products to proactively identify issues and design solutions Lead interactions with business leaders, data owners, and analytics executives, conduct demos of new functionalities and product features, and drive adoption Required qualifications, capabilities, and skills Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. 5+ years of experience or equivalent expertise in product management, ideally in data platforms or AI/ML enablement Advanced knowledge of the product development life cycle, design, and data analytics Strong understanding of product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Strong communication, presentation, and influencing skills; ability to collaborate and build relationships across all levels, including senior executives, in different lines of business, technology, and product teams Basic awareness of data wrangling, data analytics techniques, and/or visualization techniques such as SQL, Python, or Tableau Advanced MS PowerPoint and Excel skills Preferred qualifications, capabilities, and skills Master’s degree in a relevant field Experience with enterprise-scale data modernization initiatives Familiarity with metadata management and data governance practices Demonstrated ability to drive adoption of new technologies and products Experience working in cross-functional teams within large organizations Knowledge of emerging AI/ML technologies and their application in data products Proven track record of delivering high-impact solutions in a fast-paced environment
Responsibilities
Define product vision and roadmap for tools that modernize data for AI. Collaborate with cross-functional teams to identify issues and design impactful solutions.
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