Forward Deployed Solution Strategist – India

Lyric

. Own technical workstreams within strategic enterprise accounts focused on AI- and ML-driven predictions use cases .

Posted 10/8/2026full-timeBangalore • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in machine learning and AI applications within supply chain prediction use cases, with hands-on proficiency in end-to-end ML workflows. Capable of leading teams, managing customer relationships, and translating complex technical concepts into actionable business insights.

Highest-signal resume keywords

Machine Learning ExpertiseSupply Chain Data ScienceTeam LeadershipCustomer Relationship ManagementCommunication Skills

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI ApplicationsFeature EngineeringModel TrainingModel DeploymentStatistical ForecastingNeural ForecastingProbabilistic PlanningDynamic PricingOptimization

Soft Skills

Excellent CommunicationAdaptabilityMentorshipCoachingPerformance Management

Industry Keywords

Supply Chain PlanningDemand PlanningInventory ManagementS&OPFulfillmentQuantitative AnalysisTechnical ConsultingCustomer Health SignalsBusiness Impact CommunicationGovernance Meetings

About the role

Key responsibilities & impact

Own technical workstreams within strategic enterprise accounts focused on AI- and ML-driven predictions use cases
Lead integrated ML-led workflows connecting predictions with optimization, planning, and execution
Build and configure models, run experiments, and validate results hands-on with the team
Serve as Lyric's subject matter expert on predictions and ML for customers and internal stakeholders
Translate complex ML concepts and outputs into clear business narratives for executives and planning leaders
Build and lead an India-based team of predictions practitioners, providing mentorship, coaching, and performance management
Own in-region executive customer relationships in partnership with US or EMEA CSBPs
Participate in quarterly business reviews, success planning sessions, and governance meetings
Maintain relationships with customer supply chain engineers, data science teams, and planning leads
Ensure value realization on predictions workstreams and communicate measurable outcomes
Identify opportunities to expand predictions use cases within existing accounts
Monitor customer health signals related to model performance, adoption, and satisfaction
Provide technical feedback to product and engineering teams to inform roadmap priorities
Partner with Professional Services during onboarding and scaling for new customers

Requirements

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, including 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, deployment, and monitoring in production environments
Strong working knowledge of supply chain planning domains, including demand planning, inventory, S&OP, and fulfillment
Demonstrated experience leading and developing a team of data scientists, ML engineers, or quantitative analysts
Comfortable presenting to senior customer stakeholders, moderating technical panels, and representing Lyric in high-visibility settings
Excellent communication skills for explaining complex model behavior and results to supply chain engineers and C-suite executives
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