Operations Analytics Manager

Job description

About the role 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. What you'll do Operational data warehouse and infrastructure Design and build the operational data warehouse: integrating data from ERP (NetSuite), 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. Minimum Qualifications 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. Preferred Qualifications Experience with supply chain analytics, S&OP, costed BOMs, or manufacturing/operations environments. Familiarity with ERP or WMS data models (NetSuite, SAP, or similar). Generative AI or LLM integration experience applied to operational or analytical workflows. Location On-Site in Clarksburg, MD Up to 10% travel required US Salary Range $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 Forterra’s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including: Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents. Basic Life/AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a winter break in December. Competitive paid time off (PTO) offering 20 days accrued per year. A minimum of 7 weeks fully paid parental leave for birth/adoption. A $9k annual tuition reimbursement or professional development stipend. Fully stocked beverage refrigerators with all the Celsius your little heart desires. 401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%. Your recruiter will be able to share more information about our salary and benefits offering during the hiring process. CLEARANCE ELIGIBILITY - This position may require eligibility to obtain and maintain a U.S. security clearance. For more information about U.S. Security Clearances: click here . Forterra is an equal-opportunity employer, providing and promoting equal employment opportunity in all personnel practices. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applicants will receive consideration for employment without regard to any factor, including veteran and disability status, and criminal history, in accordance with applicable local, state, and federal laws. Forterra is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. To see Forterra’s candidate data privacy policy, please visit Forterra Legal | Job Applicant Privacy Notice . 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 at risk. Our systems operate with distributed control, dynamic routing, and real-time responsiveness, enabling sustained advantage across complex mission environments.