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Vice President, Commercialization Program Manager - Chase Media Solutions

JPMorganChase

JPMorganChase

Marketing & Communications, Operations
Wilmington, DE, USA
Posted 6+ months ago

Job Description

Job Summary:

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 Technical Product Manager, you work to enhance and optimize the way products are delivered to customers. As a key member of the team, you create solutions and efficiencies that enable successful implementations in an expedient and organized way.

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 enables development to support the overall strategic roadmap and value proposition.
  • Lead delivery of features and enhancements while collaborating with functional partners to ensure adherence to the firm’s risk, controls, compliance, and regulatory requirements.
  • Effectively manage timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners.
  • Engage with customers to gather feedback and incorporate it into our product vision, While effectively evangelizing product offerings
  • Develop a product strategy and product vision that delivers value to customers and aligns with architectural and product strategy.
  • Collaborate with key stakeholders and executive leadership to drive the product strategy, roadmaps and priorities.
  • Partner with technical teams to draft Agile epics and stories with appropriate level of detail and clear articulation of acceptance criteria.
  • Bring a curious, innovative, and collaborative approach to addressing challenges.
  • Monitor and analyze product performance and stability to drive product improvements and identify new opportunities.
  • Communicate clearly with customers visually and in writing about the product, including formal release announcements, status updates, product marketing pages and decks.

Required Qualification, Capabilities & Skills:

  • Product Management Skills: Experience defining product vision, strategy, and roadmap, and delivering products that align with business needs and customer expectations.
  • Product Delivery: Strong technical track record working closely with architecture, engineering teams, and partners (Risk, Compliance, Production Support, etc) from design through deployment.
  • Leadership and Individual Contribution: Ability to excel as an independent high-performing contributor while also providing leadership and mentorship to team members.
  • Stakeholder Management: Able to effectively manage and influence stakeholders at all organizational levels, including both technical and non-technical audiences.
  • Data Architecture: Strong understanding of data architecture principles and best practices, and familiarity with data lake, data lakehouse, data movement, and data migration.
  • Cloud Architecture: Solid understanding of cloud architectures and experience with cloud based ETL services such as AWS Glue, S3, EMR, Lambda.
  • Enterprise Data Management: Knowledgeable in the requirements to ensure data quality, governance, and security throughout an enterprise-scale organization.
  • Data Engineering Expertise: 5+ years of experience with ETL processes, including the design, development, and management of ETL workflows.

Preferred Qualifications

  • Ab Initio Expertise: 2+ years of experience with Abinitio for ETL processes, including the design, development, and management of ETL workflows.
  • AWS Proficiency: In-depth knowledge and practical experience with AWS services pertinent to data engineering and transformation, such as AWS Glue, S3, EMR, Lambda, and others.
  • Metadata Management: Experience implementing metadata management solutions to support data lineage, cataloging, and governance efforts.
  • Data Standardization: Skilled in defining and enforcing data standards to maintain consistency and interoperability across various data systems.