Director, Business Intelligence & Data Analytics

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.
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.
1.    Lead and manage global Business Intelligence and Data Analytics teams supporting enterprise reporting, self-service analytics, and advanced analytics initiatives.
2.    Define and operationalize STAAR Surgical's enterprise data strategy, including data architecture, data governance, data engineering, and analytics delivery roadmaps.
3.    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.
4.    Establish scalable data governance and delivery frameworks supporting Agile and modern Software Development Lifecycle (SDLC) processes across BI and analytics initiatives.
5.    Lead BI and analytics oversight for integrations with ERP, MES, CRM, eQMS, HCM, Industrial IoT, and other enterprise and manufacturing data sources.
6.    Define, implement, and support best-fit BI and analytics solutions for FP&A, Sales & Marketing, Supply Chain, Operations, Quality, and Regulatory departments.
7.    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.
8.    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.
9.    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.
10.    Oversee data governance policies and procedures pertaining to critical business data, data architecture, data modeling, metadata management, and data engineering standards.
11.    Effectively manage delivery of new BI, analytics, and AI technologies through proper SDLC policies, procedures, and change management practices.
12.    Provide ongoing monitoring, support, and maintenance for implemented BI, analytics, and AI solutions.
13.    Support inspections/audits related to data privacy, data security, and data integrity in a regulated environment.
14.    Provide leadership and mentorship to data warehouse architects, developers, analysts, administrators, and cross-functional teams.
15.    Establish standardized data governance frameworks, templates, procedures, and delivery models supporting global operations.
16.    Manage the hiring, staffing, and development of a diverse and effective BI, analytics, and data engineering workforce.
17.    Responsible for career development/planning, performance, and pay discussions of team members.
18.    Influence individuals within and outside the IT department to drive adoption of data-driven and AI-enabled decision-making.
19.    Prepare and present reports and roadmaps to all levels of leadership and staff, including business cases for AI and analytics investments.
20.    Establish and maintain budgets, operational plans, and performance requirements for the BI and Data Analytics function.
21.    Utilize best practice processes around work assignments, project management, and quality of output while maximizing overall team performance.
22.    Build relationships with business customers to improve services and ensure service levels are being met.
23.    Other duties as assigned.

REQUIREMENTS

EDUCATION & TRAINING
•    Bachelor's degree in Information Technology, Computer Science, Data Analytics, or related discipline required Or equivalent combination of education/experience.
•    Undergraduate degree and 10+ years relevant experience, or Graduate degree and 8+ years relevant experience.
•    Relevant certifications in cloud data platforms (e.g., Snowflake