Senior Director, Data Analytics and Architecture

Overview The Sr. Director of Enterprise Data will design, scale, and govern the company’s enterprise‑wide data architecture, reporting directly to the Vice President of Technology. They will ensure data across product, GTM, and G&A functions is unified, reliable, and actionable. Responsibilities Own the design, implementation, and governance of Commerce’s enterprise data architecture across Product, GTM, and G&A functions, ensuring scalability, security, and compliance. Lead the analytics team in delivering actionable insights to executive leadership, enabling faster and more accurate strategic decisions. Manage the company’s data lake, data warehouse, and data analytics layers and associated teams. Partner with business systems, engineering, and functional leaders to ensure data infrastructure meets operational, analytical, and reporting needs globally. Establish and enforce company-wide data governance standards, policies, and processes that ensure high data quality, consistency, and integrity. Champion the democratization of data, building self‑service AI‑enabled analytics capabilities and empowering teams across the organization with reliable insights. Build and manage a high‑performing team of data developers, architects, and analysts. Identify and evaluate emerging technologies to improve efficiency and scalability of the data ecosystem. Partner with the AI Operations function to integrate advanced analytics and automation into enterprise workflows. Partner closely with Product & Engineering to unify product and platform data architecture for key signals and insights. Collaborate with Business Applications to design and build systems underpinning enterprise reporting, analytics, and automation. Collaborate with GTM leadership, Finance, Product, and Customer Success to ensure analytics outputs support pipeline management, forecasting, churn analysis, and revenue growth initiatives. Qualifications Demonstrated success leading data architecture and analytics teams in global, high‑growth environments. Deep technical experience in cloud‑native data infrastructures, including data lakes, warehouses, and streaming architectures. Proven ability to develop analytics platforms delivering real‑time, actionable insights across multiple business functions. Strong background in data governance, privacy, and regulatory frameworks (GDPR, CCPA, SOC 2). Experience integrating AI/ML models into analytics environments to drive predictive insights and process automation. Ability to partner with executives across product, GTM, finance, and operations to align data strategy with business goals. Track record of recruiting, developing, and retaining high‑performing technical and analytical talent. 8+ years of technical experience in a role requiring business stakeholder collaboration (Analytics, BI, Data Science, Data Warehousing, Data Architecture and Strategy, Consulting, or Product Management). 5+ years of people management experience with proven ability to groom high‑performing future leaders. Bachelor’s degree or equivalent work experience in a technical discipline (information/data science, mathematics, computer science, etc). Exceptional storytelling skills to drive change through written, verbal, and presentation tactics. Deep knowledge of cloud data platforms (Snowflake, Redshift, or similar), visualization tools (Tableau, Looker, PowerBI, or similar), AI platforms (Claude, OpenAI, Gemini). Experience building logical and physical data models. Availability to travel domestically 4–6 times annually. Compensation Transparency The national base salary range for this role is posted above in this job post. Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. The role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Inclusion and Belonging We are an equal opportunity employer and are committed to creating an inclusive and accessible hiring experience for all candidates. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution. #J-18808-Ljbffr