Data & Business Intelligence Manager

Key Responsibilities

• Data Architecture
• Partner with IT and business teams to define architectural principles and data standards aligned with enterprise strategy.
• Influence the design and enhancement of scalable data architecture to connect, integrate, and optimize data across enterprise systems (ERP, CRM, financial, operational) for best-in-class data access and reporting.
• Data Governance
• Establish and enforce data management, lineage, and governance standards to ensure consistency across global reporting structures.
• Champion data quality initiatives and promote consistent master data usage across global systems.
• Serve as a key liaison between business units, IT, and executive leadership to drive data standardization and governance initiatives.
• BI Delivery & Insights
• Lead the delivery of business intelligence solutions that enable Finance and Operations to make data-driven decisions.
• Translate business needs into scalable BI and data solutions that support global reporting, performance measurement, and predictive analytics.
• Drive adoption of self-service analytics tools and promote a culture of data-driven decision-making across the organization.
• Team Leadership
• Provide strong leadership, mentorship, and development for a high-performing data and analytics team.
• Foster collaboration across IT, Finance, and Operations to ensure aligned priorities and transparent communication.
• Model a continuous improvement mindset and advocate for innovation within the data and analytics function.

Qualifications

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, Business, Management Information Systems, Computer Science, or equivalent education/experience.
• Minimum of 7–10 years of experience in data, IT, business analysis, or analytics roles.
• Proven leadership experience (2–5 years) managing and developing technical teams, preferably in a global, matrixed environment.
• Demonstrated experience in data solution design, data modeling, and business intelligence, including transactional and analytical data models.
• Experience with demand management, product ownership, and service delivery in a data context.
• Strong understanding of data lineage, cataloging, and data stewardship principles.
• Experience supporting financial and operational reporting.

Technical Expertise

• Deep knowledge of data modeling, integration, and ETL/ELT orchestration.
• Proficiency with BI tools (e.g., Power BI).
• Strong SQL skills and proficiency in at least one programming language (Python preferred).
• Experience with enterprise integration platforms (e.g., Azure Data Factory, Informatica, Talend, Boomi).
• Experience supporting 3rd-party or cloud-based data warehouse platforms (e.g., Zap).
• Familiarity with MDM and data governance tools (e.g., Collibra, Alation, Reltio).

Preferred Experience and Skills

• Excellent communication and interpersonal skills, with the ability to collaborate effectively at all levels, including C-suite.
• Proven ability to translate business needs into technical designs and manage competing priorities.
• Thrives in a dynamic environment; proactive, adaptable, and able to balance multiple projects.
• Experience enhancing analytics solutions across a modern data ecosystem (SAP, EDW, Salesforce, Adaptive Planning, Power BI).
• Passion for innovation and continuous improvement in data architecture, analytics, and emerging AI/BI tools.