Manager- Project Management( AI/ML)

Job Description:

Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way.

Core Skills for Technical Delivery Manager:

• AI Project/Portfolio Management: Cross-product, Vendor & Budget Management
• Leadership & Communication: Effective Team and Stakeholder Engagement
• Insights Generation: Expertise in Power BI for Data-Driven Decisions
• AI/ML Lifecycle: Managing End-to-End Implementation
• Client & Stakeholder Management: Building Strong Relationships and Ensuring Satisfaction
• Operational Efficiencies: Driving Process Improvements and Cost Optimization

Job Responsibilities:

• Collaborate with Product Engineers and Data science teams to build and deliver AI products
• Connect with the internal and external stakeholders to understand use cases and advise on solutions
• Ability to translate complex technical concepts to non-technical stakeholders
• Training the team on AI specific configuration, AI model development and delivery process and data analysis
• An ideal candidate should have proficient knowledge of handling office tools like - Lucid Charts, Confluence, JIRA, MS office suite to build an organized professional-level documentation.
• Ability to understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team
• Owning escalations, priority incidents, collaborating to meet resolutions, and establishing effective synergy amongst the stakeholders and gathering their reviews
• Developing system and procedures to ensure quality of delivery
• Understanding the scope of deliveries and creating collaborative delivery plans.
• Being accountable for service delivery performance, meeting customer expectations, and aid in driving future demand.
• Assisting in people management, including staff recruitment, performance assessment, training, and mentoring.

Preferred Qualification:

• Full-time masters degree in either of the following specializations:
• Management/Engineering/Communication
• Overall 5-8 years of experience in ML project management or similar leadership role.
• Understanding and knowledge of Agile and Scrum process, terminologies and artefacts
• Prior experience and background in service delivery, data management, team management, client communication, vendor management and documentation.
• Working knowledge of ML lifecycle and workflows, from initial client consultation to final deployment.
• Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client
• Organizational and Interpersonal skills to keep project goals clear, have timely catch-up with internal team/clients, and ensure deliveries are checked and tested in prior
• Ability to collaborate - working with the Product manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team
• Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews
• Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery
• Developing a deep understanding of the projects to gain insights into the scope of service delivery
• Taking accountability for service delivery performance, meeting customer expectations, and driving future demand
• Analyzing third-party as well as internal processes, and creating strategies for service delivery optimization