Director, Business Intelligence & Data Analytics
Listed on 2026-09-01
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IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Data Science Manager
Main Job Responsibilities / Competencies
The Director of Business Intelligence & Data Analytics is responsible for leading STAAR Surgical's enterprise BI and Data Analytics organization, including the strategy, architecture, and delivery of modern cloud-based data platforms. This role partners closely with FP&A, Sales & Marketing, Supply Chain, Operations, Quality, Regulatory, and Information Technology leadership to define, implement, and support scalable data and analytics solutions, including advanced AI-enabled capabilities, across the enterprise.
MainJob Responsibilities / Competencies
The Director of Business Intelligence & Data Analytics is responsible for leading STAAR Surgical's enterprise BI and Data Analytics organization, including the strategy, architecture, and delivery of modern cloud-based data platforms. This role partners closely with FP&A, Sales & Marketing, Supply Chain, Operations, Quality, Regulatory, and Information Technology leadership to define, implement, and support scalable data and analytics solutions, including advanced AI-enabled capabilities, across the enterprise.
This role additionally supports data governance, data engineering, and AI/analytics innovation initiatives. The position partners closely with business stakeholders and IT leadership to strengthen data architecture, integration pipelines, self-service analytics adoption, and supports the deployment of AI solutions including conversational (chat) and agentic AI capabilities across the organization.
- Lead and manage global Business Intelligence and Data Analytics teams supporting enterprise reporting, self-service analytics, and advanced analytics initiatives.
- Define and operationalize STAAR Surgical's enterprise data strategy, including data architecture, data governance, data engineering, and analytics delivery roadmaps.
- Drive the modernization of STAAR's data platform leveraging Snowflake as the enterprise cloud data warehouse and Fivetran for automated, scalable data integration and ELT pipelines.
- Establish scalable data governance and delivery frameworks supporting Agile and modern Software Development Lifecycle (SDLC) processes across BI and analytics initiatives.
- Lead BI and analytics oversight for integrations with ERP, MES, CRM, eQMS, HCM, Industrial IoT, and other enterprise and manufacturing data sources.
- Define, implement, and support best-fit BI and analytics solutions for FP&A, Sales & Marketing, Supply Chain, Operations, Quality, and Regulatory departments.
- Lead the identification, evaluation, and implementation of AI solutions, including conversational (chat-based) AI and agentic AI capabilities, to automate business processes, augment decision-making, and enhance self-service analytics.
- Partner with Software Engineering, IT, Data Security, and business stakeholders to ensure responsible, secure, and compliant deployment of AI/ML and generative AI capabilities within analytics and reporting solutions.
- Ensure data pipelines, warehousing, and visualization solutions (Snowflake, Fivetran, Power BI, Tableau, Azure, or similar) are scalable, reliable, and aligned with enterprise data quality standards.
- Oversee data governance policies and procedures pertaining to critical business data, data architecture, data modeling, metadata management, and data engineering standards.
- Effectively manage delivery of new BI, analytics, and AI technologies through proper SDLC policies, procedures, and change management practices.
- Provide ongoing monitoring, support, and maintenance for implemented BI, analytics, and AI solutions.
- Support inspections/audits related to data privacy, data security, and data integrity in a regulated environment.
- Provide leadership and mentorship to data warehouse architects, developers, analysts, administrators, and cross-functional teams.
- Establish standardized data governance frameworks, templates, procedures, and delivery models supporting global operations.
- Manage the hiring, staffing, and development of a diverse and effective BI, analytics, and data engineering workforce.
- Responsible for career development/planning, performance, and pay discussions of team members.
- Influence individuals…
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