About the Role
This role defines and owns the product strategy and roadmap for AI/ML and statistical capabilities as core platform services. It establishes a unified AI/ML platform vision, including reusable models, services, and APIs to be embedded across the ValGenesis product suite, driving the evolution from fragmented statistical tooling to scalable, cloud-native, AI-powered platform capabilities. The role involves identifying and prioritizing opportunities to apply machine learning, statistical modeling, and generative AI to improve decision-making, automation, and insights across the platform, partnering closely with AI/ML engineering and data platform teams to align on architecture, scalability, and long-term technical direction.
Statistical & AI/ML Product Definition
- Act as the subject matter expert (SME) for statistical methods, machine learning, and applied AI within the product organization.
- Define platform-level capabilities for:
- Statistical modeling frameworks (SPC, multivariate analysis, time-series analysis)
- Machine learning services (prediction, classification, anomaly detection)
- Generative AI services (automated insights, narrative generation, copilots)
- Establish standards for:
- Model selection, evaluation, and performance metrics
- Feature engineering and data requirements
- Model explainability and interpretability
- Collaborate with data scientists and ML engineers to translate advanced analytical methods into scalable, reusable product features.
- Define requirements for model lifecycle management, including training, validation, monitoring, and retraining in regulated environments.
- Ensure platform capabilities support compliance with GxP expectations, including auditability, traceability, and validation of AI/ML models.
Platform Architecture & Technical Collaboration
- Partner with engineering on:
- AI/ML platform architecture
- Data pipelines and feature stores
- Model deployment patterns (batch, real-time, hybrid)
- API design for AI/ML services
- Collaborate with UX/UI to ensure complex statistical and AI outputs are translated into intuitive, actionable user experiences.
- Drive consistency and reuse of AI/ML capabilities across products through platform-first design principles.
Cross-Functional Leadership & Stakeholder Engagement
- Serve as the central AI/ML expert bridging Product, Engineering, Data Science, and Go-To-Market teams.
- Engage with customers, data scientists, and technical stakeholders to validate platform capabilities and ensure real-world applicability.
- Support Sales, Customer Success, and Professional Services as the go-to expert on AI/ML and statistical functionality.
- Influence internal teams on best practices for adopting AI/ML capabilities across the product suite.
Go-To-Market & Thought Leadership
- Partner with Product Marketing to articulate the value of ValGenesis AI/ML platform capabilities versus point solutions and legacy statistical tools.
- Monitor industry trends in:
- Applied AI/ML in regulated industries
- Statistical innovation and data science tooling
- Regulatory perspectives on AI/ML in GxP environments
- Contribute to thought leadership through whitepapers, webinars, and customer engagements.