Director of Technology & Data Engineering

COMPANY OVERVIEW Momentous is a dynamic, fast-growing human performance company offering the highest quality supplements designed to enhance physical and cognitive well-being. At Momentous, we believe that people at their best will produce a positive impact in their personal lives, communities, and, ultimately, the world. No matter our customer's goal or what they want to achieve, we are on a relentless quest to help them get there. We work with some of the greatest minds in science and athletic performance who tap into the latest research and real-world experience to create a portfolio of products designed with one common goal—to help our customers be their best. What we’re proud of: Best in the field. We have built an advanced network of world-renowned experts in the field of human performance. Trusted and used by the best. We are honored to work with more than 200 teams in professional and NCAA sports, including Stanley Cup Champions, Tour de France winners, and all NFL Teams. Push what’s possible. We were named to the prestigious Inc. 5000 list as one of the fastest-growing companies in the US in 2023, 2024, 2025 and 2026 and recognized on Inc’s Best Places to Work list. POSITION SUMMARY The Director of Technology & Data Engineering owns Momentous’ enterprise technology, IT operations, data infrastructure, and systems strategy, building the scalable, secure, and reliable foundation needed to support continued growth and AI-driven innovation. Reporting to the CFO, this role serves as the company’s technology leader, overseeing company-wide IT, cloud data infrastructure, enterprise systems, data integrations, governance, and emerging AI capabilities. A key focus is creating a unified, trusted data ecosystem that connects Momentous’ eCommerce, subscription, Amazon, retail, financial, and operational platforms while enabling accurate, consistent information across the business. This role partners closely with the Data Analytics Center of Excellence in Finance: Analytics defines the metrics, and Technology builds and runs the platform that delivers them to people and AI tools. This is a highly hands-on, cross-functional player-coach role that combines deep technical expertise with strategic leadership. The ideal candidate is an entrepreneurial builder who has personally designed and operated modern data platforms, can make pragmatic technology investment decisions, and thrives as a senior technical leader in a lean, high-growth environment. RESPONSIBILITIES Cloud Data Infrastructure & Engineering Own the architecture, development, and operation of Momentous’ cloud data platform, preferably leveraging Google Cloud Platform (GCP) and BigQuery. Design, build, and maintain scalable data ingestion, transformation, and integration pipelines across business systems. Ensure data reliability, freshness, and cost efficiency through proactive monitoring, optimization, and hands-on problem-solving. Enterprise Systems & Data Integration Design and manage syndicated data sources. Ensure accurate, timely data flows across eCommerce, subscriptions, Finance, Operations, and omnichannel systems. Manage external technology and data vendors, establishing clear service-level expectations and performance accountability. Identify opportunities to simplify systems, automate processes, and improve operational efficiency. Semantic Layer & Analytics Enablement Build and maintain a governed data foundation and semantic layer using dbt, MetricFlow, or equivalent technologies. Implement and enforce metric definitions set by Finance and the Data Analytics Center of Excellence across revenue, channel, product, customer, and subscription data, with automated tests so numbers can't drift. Partner with Finance and the Data Analytics Manager to ensure data integrity, financial reconciliation, and reliable reporting. AI Infrastructure & Enablement Develop scalable, AI-ready architecture that enables secure automation, agent workflows, and data-driven applications. Collaborate on design and integrations between enterprise data and AI tools, including MCP servers and related technologies, with appropriate access controls and audit trails. Partner with business leaders to identify and implement high-impact AI use cases that improve efficiency and business capabilities. Set the governance model for AI tools: which systems and data agents can access, how usage is logged, and how outputs are reviewed. IT Security, Privacy & Risk Management Own enterprise technology security, data privacy, and IT risk management across systems and infrastructure. Establish security standards for customer PII, sensitive business data, identity and access management (IAM), and least-privilege access. Manage vendor security risk and implement SOC-style controls and documentation that keep the company audit-ready as it scales. Maintain business continuity, system recovery, and risk mitigation practices across critical platforms. Technology Strategy & Leadership <span style="font-family: helvetica, arial, sans-serif