Operations Analytics Manager

About Forterra

At Forterra, we are unleashing autonomy at scale to transform the battlefield. Our mission is to build the foundational platforms that enable an intelligent ecosystem to coordinate, adapt, and execute with speed and precision even in the uncertainty and disruption of modern conflict. In an era marked by rapid technological change and evolving threats, we design for flexibility, survivability, and operational dominance.

Forterra delivers weapons, sensors, and battlefield effects through integrated autonomous networks reaching operational areas faster, safer, and without placing human lives  systems operate with distributed control, dynamic routing, and real‑time responsiveness, enabling sustained advantage across complex mission environments.

We are seeking a Senior Data Scientist, Operations Analytics to join the Operations leadership team. This is a high‑impact, execution‑focused role for a builder who thrives on turning messy operational data into clear, decision‑ready intelligence.

You will own the end‑to‑end analytics stack for operations; designing and deploying the data infrastructure, predictive models, and reporting that drives sales & operations planning, demand forecasting, and supply chain and production optimization. This is a strategic seat on the Operations leadership team, setting the standard for analytical rigor, ownership, and impact.

• Operational data warehouse and infrastructure
• Design and build the operational data warehouse: integrating data from ERP (Net Suite), CRM (Salesforce), and other business systems into a unified, reliable analytics layer.
• Build and own ETL pipelines, data quality, and governance in close partnership with Business Systems on architecture and system integrations.
• Demand forecasting and S&OP
• Build and own statistical and ML‑driven demand forecasting models that feed the monthly S&OP cycle and inform capacity, procurement, and production planning.
• Partner with Sales, Finance, and Operations leadership to align forecast inputs and provide real‑time visibility into demand signals and supply constraints.
• Build the Operations reporting suite: automated dashboards and KPI tracking for executive visibility
• Central planning and supply chain analytics
• Design and maintain analytical models inventory optimization, lead time analysis, supplier performance tracking, and capacity utilization.
• Build predictive models to anticipate supply disruptions, demand variability, and cost escalation.
• Costed BOMs and margin analytics
• Own the data pipeline and reporting layer for costed bills of materials (BOMs) ensuring visibility into material costs, labor, and overhead across product lines.
• Develop scenario models to evaluate the cost impact of design changes, sourcing decisions, and volume shifts.

• 5+ years in data science, analytics engineering, or operations/revenue analytics.
• Proficiency in Python and SQL; experience with cloud data platforms (Snowflake or equivalent).
• Hands‑on experience building forecasting models and data pipelines in a production environment.
• Ability to translate complex model outputs into clear narratives for non‑technical stakeholders and senior leadership.
• Experience working cross‑functionally with Finance, Sales, Supply Chain, or Operations.
• Bachelor’s degree in supply chain, engineering, business, or related field.

• Experience with supply chain analytics, S&OP, costed BOMs, or manufacturing/operations environments.
• Familiarity with ERP or WMS data models (Net Suite, SAP, or similar).
• Generative AI or LLM integration experience applied to operational or analytical workflows.

On‑Site in Clarksburg, MD

Up to 10% travel required

$120,000 - $160,000

The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full‑time, high‑demand roles and is therefore considered part of…