Product Delivery Manager – Analytics Validation, Visualization
2 days ago
JOB DESCRIPTION
Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the forefront of innovation.
As a Product Delivery Manager in Consumer and community Banking , you will lead the validation and delivery of raw, trusted, and refined data models, ensuring they are optimized for advanced analytics, visualization, and generative business intelligence. You will champion the use of modern visualization technologies and generative AI solutions to enable actionable insights and automated intelligence from both internal and external product feature data. You will be managing the end-to-end delivery process, ensuring data models are accurate, reliable, and ready for analytical, visualization, and generative business intelligence applications. . You will oversee the operationalization of data models, ensuring they meet business and technical requirements, and facilitate the creation of interactive dashboards, reports, and generative BI solutions that empower stakeholders with timely, meaningful, and automated insights.
Job responsibilities
- Lead the validation and delivery of raw, trusted, and refined data models, focusing on their suitability for analytics, visualization, and generative business intelligence.
- Oversee the development and deployment of interactive dashboards, visualization solutions, and generative BI tools that leverage product feature data from raw, trusted, and refined sources.
- Collaborate with analytics, data science, and technology teams to ensure data models support advanced analytical use cases, generative AI, and business intelligence automation.
- Manage intake, dependency management, and release processes for analytics-ready and generative BI-enabled data models, including raw, trusted, and refined datasets.
- Ensure data models are tested for accuracy, completeness, and reliability, and are aligned with business objectives and compliance standards.
- Drive continuous improvement in analytics validation, visualization capabilities, and generative BI outcomes across all data model types.
- Monitor delivery timelines, manage blockers, and ensure adequate resources for analytics, visualization, and generative BI initiatives.
- Provide leadership and guidance to cross-functional teams, fostering a culture of innovation and data-driven decision-making.
- Liaise with stakeholders to gather requirements and feedback for analytics, visualization, and generative BI enhancements, ensuring all data model types are considered.
- Report on analytics validation outcomes, visualization adoption, and generative BI impact, using insights to inform future improvements.
- Support the integration of external data sources and product features into validated raw, trusted, and refined models for enhanced analytics and generative business intelligence.
Required qualifications, capabilities, and skills
- 5+ years of experience in product delivery, analytics, or data management.
- Demonstrated expertise in validating raw, trusted, and refined data models for analytical, visualization, and generative BI use cases.
- Strong understanding of data visualization technologies (e.g., Tableau, QuickSight, Power BI, Qlik, or similar) and generative AI/BI tools.
- Experience with dashboard development, reporting, analytics enablement, and business intelligence automation.
- Proven ability to manage delivery processes and implement continuous improvement in analytics validation and generative BI.
- Ability to translate business needs into technical requirements for analytics, visualization, and generative BI across all data model types.
- Excellent collaboration, communication, and stakeholder management skills.
- Experience working in cross-functional teams and matrixed organizations.
Preferred qualifications, capabilities, and skills
- Advanced knowledge of analytics platforms, visualization tools, and generative BI technologies.
- Experience with AI/ML technologies and generative AI applications for business intelligence.
- Familiarity with cloud-based data platforms and data governance.
- Strong analytical and problem-solving skills.
- Experience integrating external data sources for enhanced analytics and generative BI.
- Ability to drive innovation in analytics validation, visualization, and generative business intelligence across raw, trusted, and refined data models.
- Leadership experience in data-driven product delivery environments.
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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 FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
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