Product Manager - Data Engineering

Hyderabad, Telangana, India

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You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful 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 within the Consumer and Community Banking team, you lead the innovation and end-to-end lifecycle of new product offerings, acting as the voice of the customer to develop profitable, high-quality products. You collaborate with cross-functional teams to ensure successful product launches and exceptional client experiences, with a focus on scalability, resiliency, and stability.   Job responsibilities
  • Define roadmap and deliver technology features with a strong focus on scalability, resiliency, and stability.
  • Own, maintain, and develop a product backlog that supports the strategic roadmap and value proposition.
  • Lead delivery of features and enhancements while ensuring adherence to risk, controls, compliance, and regulatory requirements.
  • Manage timelines and dependencies, monitor blockers, ensure adequate resourcing, and liaise with stakeholders.
  • Engage with customers to gather feedback and incorporate it into the product vision.
  • Develop a product strategy and vision that delivers value to customers and aligns with architectural and product strategy.
  • Collaborate with stakeholders and executive leadership to drive product strategy, roadmaps, and priorities.
Required qualifications, capabilities, and skills
  • 5+ years of experience in product management or a relevant domain.
  • Proven ability to define product vision, strategy, and roadmap, delivering products that meet business needs and customer expectations.
  • Strong technical track record collaborating with architecture and engineering teams from design through deployment.
  • Effective stakeholder management and influence across all organizational levels, both technical and non-technical.
  • Deep understanding of data architecture principles, including data lakes, data movement, and migration.
  • Solid experience with cloud architectures and cloud-based ETL services such as AWS Glue, S3, EMR, and Lambda.
  • Expertise in ensuring data quality, governance, and security in enterprise-scale organizations.
Preferred qualifications, capabilities, and skills
  • Experience in Abinitio for ETL processes, including design, development, and management of ETL workflows.
  • In-depth knowledge and practical experience with AWS services pertinent to data engineering and transformation.
  • Experience implementing metadata management solutions to support data lineage, cataloging, and governance efforts.
  • Skilled in defining and enforcing data standards to maintain consistency and interoperability across various data systems.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS AWS Glue Banking Data quality Engineering ETL Lambda Security

Region: Asia/Pacific
Country: India

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