JPMorgan Business Intelligence - Data Analytics Vice President 

India, Karnataka, Bengaluru 

871920231

Job Responsibilities:

• Develop and implement strategies for AI drift detection to ensure the accuracy and reliability of AI models across the organization.
• Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to align AI drift detection efforts with organizational goals. Communicate findings and recommendations effectively to senior leadership.
• Drive continuous improvement in AI drift detection methodologies by staying updated with the latest industry trends and technologies. Encourage innovation within the team to enhance detection capabilities.
• Accurately collect, refine, and transform data from diverse sources using advanced SQL queries and Alteryx expertise.
• Design, develop, and manage dynamic data visualization solutions in Tableau, providing actionable insights for informed decision-making.
• Conduct thorough control testing of solution components, ensuring precise insights and validation with stakeholders for accuracy.
• Publish and manage dashboards, reports with optimized scheduling, addressing data discrepancies and performance issues proactively.
• Define critical data scope within products, documenting, classifying, and enriching data with comprehensive metadata for effective use.

Required Qualifications, Capabilities, and Skills:

• Minimum 10 years of experience in analytics/business intelligence to deliver data-driven insights and strategic solutions, With 7 years mandatory hands-on expertise in Alteryx, SQL, Tableau for advanced analytics, complex data manipulations, and crafting advanced data visualizations.
• Possess a deep understanding of AI and machine learning concepts, with a focus on drift detection techniques. Experience in managing large-scale AI projects and familiarity with relevant tools and technologies.
• Exceptional analytical and problem-solving abilities, with a keen eye for identifying patterns and anomalies in data. Ability to translate complex technical concepts into actionable insights.
• Utilize proficiency in Qlik and Python to effectively meet future and evolving data needs, while adeptly tackling complex data logic challenges and designing sophisticated workflows for problem-solving.

Preferred Qualifications, Capabilities, and Skills:

• Proficient knowledge of the product development life cycle.