Senior ML Services Analyst

Senior ML Services Analyst

As a Senior ML Services Analyst, you will play a pivotal role in delivering high quality AI solutions while mentoring junior analysts and driving process improvements. You will work closely with Product, Engineering, and Data Science teams to ensure seamless execution of ML initiatives, maintain service excellence, and contribute to strategic enhancements in Sprinklr's AI offerings.

Key responsibilities include:

• Collaborate with internal and external stakeholders to understand use cases and translate them into actionable solutions.
• Oversee and execute tasks such as AI quality monitoring, KPI tracking, and data annotation for critical projects.
• Ensure adherence to delivery processes, quality standards, and SLAs while identifying opportunities for optimization.
• Participate in escalations and priority incident resolution, ensuring timely and effective outcomes.
• Prepare and review professional documentation using tools like Confluence, JIRA, and MS Office Suite.

Technical and analytical competencies include:

• Conduct advanced data analysis to monitor AI performance and derive actionable insights.
• Support AI model configuration and delivery processes, ensuring alignment with business objectives.
• Implement data integrity guidelines and refine datasets for analysis.
• Present insights through clear storytelling and visualization tailored to diverse audiences.

Leadership and collaboration include:

• Mentor and guide junior analysts on best practices, tools, and processes.
• Actively contribute to team rituals, unblock peers, and foster a culture of collaboration.
• Influence project direction by providing feedback on processes, tools, and product improvements.

Impact includes:

• Lead medium-scale projects with measurable business impact.
• Drive improvements in service delivery efficiency and quality.
• Build strong relationships with stakeholders to ensure alignment and satisfaction.

Qualifications include:

• Bachelor's or master's degree in management, Engineering, Computer Science, or related fields.
• 5-7 years in ML project management, AI quality monitoring, or related roles.
• Hands-on experience in service delivery, KPI monitoring, and client communication.
• Strong understanding of ML lifecycle and workflows.
• Familiarity with Agile and Scrum methodologies.
• Proficiency in tools like Confluence, JIRA, MS Office Suite; knowledge of Lucid Charts is a plus.
• Excellent written and verbal communication skills for documentation and stakeholder engagement.

Sprinklr's mission is to unify fragmented teams, tools, and data to help large organizations build deeper, more meaningful connections with the people they serve. Sprinklr offers a comprehensive suite of benefits designed to help each member of our team thrive.