You will be working alongside a team of professional product managers, businesses, and functions to provide you with the opportunity to take your career to the next level.
As a Product Manager in the Legal Regulatory and Control Operations (LRCO) team, you will promote the transformation and modernization of our data management, governance practices, collaborating with Product, Data Owners, Operations, and Technology teams. You will ensure alignment with strategic priorities for these areas. A key responsibility is developing sustainability AI/ML model accuracy thresholds and providing ongoing performance reporting to leadership. Your leadership will guide the team in daily tasks and transformative projects, significantly impacting the organization.
At JPMorgan Chase, we are at the forefront of innovation in legal and regulatory control operations. We are seeking a Sr. Data Scientist Team Lead to drive transformative change and redefine our processes and systems. This role offers the opportunity to lead significant initiatives and expand our capabilities across diverse investment landscapes.
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
