JPMorgan Senior Information Systems Data Consultant 

United States, Ohio, Columbus 

117356733

Job Responsibilities:

• Partner with project team members to interview stakeholders, develop frameworks and insights to address key process improvements, organizational changes, and functional strategic development efforts.
• Informally develop team members by serving as a mentor and participate in a culture of continuous learning; this may include managing analysts and interns.
• Analyze and map key business processes and information flows , identifying inefficiencies and areas for improvement using advanced data analytics and statistical inference techniques.
• Develop and implement process improvement initiatives, focusing on simplification, manual touch point reduction, and the application of digital process tools.
• Collaborate with cross-functional teams to ensure alignment of process improvement initiatives with organizational goals, fostering a culture of innovation and continuous learning.
• Utilize storytelling and deck building skills to effectively communicate complex process improvement concepts and data to diverse audiences, fostering understanding and retention of the core message.
• Be intellectually curious , with ability to take ownership of tasks and manage most elements of an entire workstream.

Required Qualifications, Capabilities, and Skills:

• Process Improvement and AI Expertise: 3+ years of experience in developing and implementing process improvement programs to streamline workflows, reduce manual effort, and increase productivity with 1+ year(s) designing AI-driven solutions on public cloud platforms, particularly AWS, with familiarity in tools like Amazon Bedrock, Google Vertex AI, Azure Machine Learning, LLMs (Grok, Chat GPT), and Agentic AI.
• Advanced Analytical, Problem-Solving Skills, and Data Viz: Strong intellectual curiosity, systems thinking, and advanced business/data analysis to address complex operational issues to optimize business processes across complex, integrated ecosystems, skilled in data visualization tools like Tableau or Power BI to socialize findings.
• Strong Communication and Collaboration Skills : Good client management, executive-level communication skills, experienced in creating presentations, written and verbal, to deliver complex concepts to executives, non-technical stakeholders, and work collaboratively with cross-functional teams to drive process improvements.
• Cross-functional collaboration & Driving requirements: Identify process improvement opportunities across departments, and experience driving Business/Functional requirements for tools, applications, or systems.
• Data Management and Integration: Proficient in database and cloud platforms (AWS, Azure, Google Cloud), ETL processes, with expertise in data modeling, design, warehousing, and performance optimization.
• Tech, Cloud, and Software Development Skills: Experience leveraging Hyperscaler services (AWS) for rapid solutions, expertise in big data tools and platforms, proficient in programming languages (Python, Java, SQL, etc.), advanced data mining, with experience in software development methodologies (Agile, Scrum) and tools (CI/CD pipelines, Git).
• Education: Degree in a related science field such as Computer Science, Information Technology, Data Science, Mathematics, Engineering, or equivalent experience.

Preferred Qualifications, Capabilities, and Skills:

• Emerging AI Tools and Technologies: Familiarity with AI orchestration tools like LangChain, CrewAI, and Grok/Chat GPT, with the ability to quickly learn and apply new technologies for innovative solutions.
• Expertise in NLP, Document Parsing, and Data Vectorization: Some experience using this expertise to extract value from existing data with proficiency in using OpenSearch for enhanced search and analytics capabilities.
• Retrieval-Augmented Generation (RAG) and Automation: Some experience implementing RAG techniques and agentic orchestration workflows to produce massive efficiencies and optimizations through automation.