Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

JPMorgan Vice President - Product Manager Data Science 
India, Telangana, Hyderabad 
331275326

03.12.2024

Job responsibilities:

  • Lead model data management, focusing on data quality, validation, enrichment, analytics, reporting, and exception monitoring.
  • Develop AI/ML model accuracy threshold recommendations and provide performance reporting to leadership.
  • Implement strategies aligning data management with operational objectives.
  • Innovate and modernize data processes with cutting-edge technologies.
  • Lead operational change initiatives for smooth transitions and new system implementations.
  • Foster a culture of continuous improvement using data insights.
  • Communicate strategies and foster collaboration with cross-functional teams and senior leadership.
  • Implement robust oversight and governance models for vendors and service providers.
  • Deliver presentations to convey strategies and results to stakeholders.
  • Oversee the planning and execution of the roadmap with cross-functional teams.

Required Qualifications, Capabilities, and Skills:

  • 7+ years in data science, data management, and operational leadership.
  • Proven track record in data-driven initiatives and transformational projects.
  • Strong problem-solving, decision-making, and strategic thinking abilities.
  • Exceptional leadership and communication skills.
  • Experience in operational controls and improving frameworks.
  • Advanced proficiency in Microsoft applications and developing presentations.
  • Proficiency in AI, automation tools, and emerging technologies.
  • Practical knowledge of JIRA for building roadmaps.
  • Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionization and feedback capture.

Preferred qualifications, capabilities, and skills:

  • Holds a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business, or a related field.
  • Has experience in the tech industry or with digital products.
  • Familiar with machine learning and AI applications in product development.
  • Proven experience in business analysis and driving operational change/system development, with the ability to identify critical requirements and potential gaps.
  • Possesses excellent analytical, quantitative, and problem-solving skills, along with demonstrated research ability.
  • Strong communication skills, capable of presenting findings to a non-technical audience.
  • Knowledgeable about the data ecosystem, including data ingestion, engineering, quality, orchestration, infrastructure, usage, privacy, and governance, as well as machine learning/data science theory, techniques, and tools