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JPMorgan Analytics Solutions Compliance - Executive Director 
India, Telangana, Hyderabad 
177316310

04.01.2025

Key Responsibilities:

  • Strategic Leadership: Serve as the primary advocate for empowering CCOR teams with cutting-edge tools and data analytics solutions.
  • Collaboration and Strategy Development: Partner with CCOR Line of Business (LOB) leaders to formulate and execute a comprehensive Tools and Automation strategy tailored to each LOB.
  • AI Innovation: Lead the design and deployment of AI-driven solutions, including LLM agents and copilots, to optimize compliance and operational risk processes.
  • Technology Integration: Champion the seamless integration of ThoughtSpot and other AI-enhanced tools with existing platforms such as Tableau and UI Path.
  • Prompt Engineering: Develop and refine prompt engineering techniques to enhance the efficacy of generative AI tools.
  • Mentorship and Development: Provide technical mentorship and guidance to junior team members, fostering a culture of continuous learning and innovation.
  • Trend Analysis and Innovation: Stay abreast of emerging AI trends and tools, proposing forward-thinking solutions to advance team objectives.
  • Stakeholder Engagement: Collaborate with stakeholders to align AI initiatives with business goals, ensuring successful adoption and impact.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • Over 10 years of experience in software development, AI, or automation, with a proven track record of leading complex projects.
  • Proficiency in Python, APIs, and automation frameworks (e.g., Alteryx, UI Path).
  • Hands-on experience with generative AI tools, LLMs, or machine learning frameworks.
  • Strong leadership, communication, and problem-solving skills.

Preferred Skills:

  • Advanced knowledge of ThoughtSpot, Tableau, or other data visualization tools.
  • Experience in developing and deploying AI copilots or similar technologies.
  • Understanding of compliance and operational risk processes.