Overview
Lead Lyric's technical customer engagement practice in India as a senior predictions specialist, owning ML-driven supply chain prediction workstreams within strategic enterprise accounts and leading a team of data scientists and ML engineers.
What you'll do
- Own the technical workstreams within strategic enterprise accounts, with a focus on AI and ML-driven predictions use cases including demand sensing, forecasting, probabilistic planning, and dynamic optimization
- Lead integrated, composed ML-led workflows that daisy-chain predictions with optimization, planning, and execution paradigms
- Build and configure models, run experiments, and validate results hands-on alongside your team when the situation calls for it
- Serve as Lyric's subject matter expert on predictions and ML for both customers and internal stakeholders
- Translate complex ML concepts and outputs into clear business narratives for customer executives and planning leaders
- Build and lead an India-based team of predictions practitioners (data scientists, ML engineers, OR modelers), providing technical mentorship, coaching, and performance management
- Own the in-region executive customer relationships, partnering with the US or EMEA CSBP for cross-regional account planning and commercial governance to align technical delivery with customer success goals and executive strategy
- Participate in quarterly business reviews, success planning sessions, and governance meetings, contributing the technical and predictions-specific perspective
- Maintain strong relationships with customer supply chain engineers, data science teams, and planning leads
- Ensure value realization on predictions workstreams and communicate measurable outcomes back to the customer and internal stakeholders
- Identify opportunities to expand the depth and breadth of predictions use cases within existing accounts
- Monitor customer health signals related to model performance, adoption, and satisfaction with AI-driven capabilities
- Surface actionable technical feedback to Lyric's product and engineering teams to inform roadmap priorities
- Partner with Professional Services during onboarding and scaling to ensure strong technical foundations for new customers
What you'll need
- 15+ years of experience in supply chain data science, ML engineering, technical consulting, or a related field with a strong quantitative foundation
- Deep expertise in applying machine learning and AI to supply chain prediction use cases: demand classification and sensing, statistical and neural forecasting, probabilistic planning, and dynamic pricing or optimization
- Hands-on proficiency in end-to-end ML workflows including feature engineering, model training (supervised, unsupervised, neural networks, AutoML), deployment, and monitoring in production environments
- Strong working knowledge of supply chain planning domains (demand planning, inventory, S&OP, fulfillment) sufficient to engage credibly with both technical and business audiences
- Demonstrated experience leading and developing a team of data scientists, ML engineers, or quantitative analysts
- Executive presence: comfortable presenting to senior customer stakeholders, moderating technical panels, and representing Lyric in high-visibility settings
- Excellent communication skills, able to explain complex model behavior and results to supply chain engineers and C-suite executives with equal clarity
- Highly adaptable and comfortable navigating ambiguity in a fast-moving, startup environment
- Proven ability to identify, quantify, and communicate business impact from AI and ML initiatives
Details
- Location: India
- Role is based in-region in India and partners with US or EMEA-based CSBPs for cross-regional account alignment; commercial governance sits with the US or EMEA CSBP
Read the full description and apply on the company’s own careers page.