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JPMorganChase

Product Manager

Posted 2 Days Ago
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Hybrid
Hyderabad, Telangana
Senior level
Hybrid
Hyderabad, Telangana
Senior level
The Product Manager will develop product strategies, manage product life cycles, and collaborate with teams to deliver data products that provide value to customers in the banking sector.
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Job Description
You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful product launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in the Consumer and Community Banking - Data Publishing and Processing (DPP) team, you are an integral part of the group that innovates in building data publishing and processing products and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing DPP products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
Job Responsibilities
  • Develop a product strategy and vision that delivers value to customers.
  • Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
  • Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition.
  • Build the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.
  • Lead all phases of product lifecycle management, from ideation to launch and ongoing optimization.
  • Collaborate with engineering, data, and business teams to deliver scalable, resilient, and stable data products.
  • Communicate effectively with both technical and non-technical stakeholders, including business users and customers.
  • Navigate complex environments with multiple cross-team dependencies, ensuring alignment and timely delivery.

Required qualifications, capabilities and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Advanced knowledge of the product development life cycle, design, and data analytics.
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.
  • 5+ years of hands-on experience building Data Lakes, Data Warehouses, and ETL processes.
  • 5+ years of experience with AWS Cloud and Data Analytics services (Lake Formation, S3, IAM, Glue, Apache Spark, Kinesis, Kafka).
  • 5+ years of experience with PySpark, Databricks, SQL, DBT, Apache Airflow, Apache Flink, Snowflake.
  • 10+ years of experience building products as a Product Manager (not as an engineer).
  • Experience communicating with technical and non-technical/business users/customers.
  • Experience working in a complex environment with multiple cross-team dependencies.
  • Familiarity with API-first product design and integration patterns.
  • Understanding of security, privacy, and compliance requirements for financial enterprise data sharing.

Preferred qualifications, capabilities and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization.
  • Experience with data cataloging, metadata management, and entitlement services.
  • Familiarity with modern data architectures, data contracts, entitlements, and cost optimization in cloud or hybrid environments.
  • Experience in building products for financial services or other highly regulated industries.

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 CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Top Skills

Apache Airflow
Apache Flink
Spark
Aws Cloud
Data Analytics
Databricks
Dbt
Glue
Iam
Kafka
Kinesis
Lake Formation
Pyspark
S3
Snowflake
SQL

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