Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations.

 

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

 

As a Principal Technical Program Manager at JPMorgan Chase in the AIML Data Platforms -Chief Data Analytics Office, you will lead complex, multi-functional technology projects and programs that will impact experiences for multiple groups across the firm, including clients, employees, and stakeholders. With your advanced analytical reasoning and adaptability skills will enable you to break down business, technical, and operational objectives into manageable tasks, while navigating through ambiguity and driving change. With demonstrated technical fluency, you will effectively manage resources, budgets, and cross-functional teams to deliver innovative solutions that align with the firm's strategic goals. Your exceptional communication and influencing abilities will foster productive relationships with stakeholders, ensuring alignment and effective risk management. In this pivotal role, you will contribute to the development of new policies and processes, shaping the future of our technology landscape.

Job responsibilities

Manages the roadmap across the organization, ensuring alignment with our strategic prioritiesDevelops and implements the roadmap delivery structures and operating models across the organization.Oversees engineering risks, issues, dependencies across the full book of workEngages with senior stakeholders across the whole organization including customers within the lines of businessesGuides the selection and implementation of appropriate technologies, platforms and software tools leveraging advanced technical fluencyChampions continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologiesPartners with the product organization to drive business outcomes, ensuring that technical programs are aligned with strategic business goalsPrepares and delivers comprehensive reports and presentations to C-Level Executives, including the Operating Committee, to communicate program status, risks, and achievements

 

Required qualifications, capabilities, and skills

7+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizationsAbility to manage multiple portfolios and competing prioritiesDemonstrated proficiency in technical solutions, vendor product knowledge, managing vendor relations, and implementing solutionsAdvanced analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectivesProven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environmentsAdvanced expertise in stakeholder management, establishing productive relationships, and driving beneficial outcomes aligned with firm objectivesDemonstrated ability to evaluate and drive technical decisions regarding data platform trade-offs including performance optimization, cost management, scalability, and operational excellence Technical understanding of modern data platform architectures including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworksExperience with enterprise-scale implementations of cloud-native data platforms such as Databricks and SnowflakeStrong knowledge of AWS data analytics services including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns with demonstrated experience architecting end-to-end data solutionsExperience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid data environments at enterprise scale