Data & Analytics Operations Manager

Responsibilities

Your Role: The Data & Analytics Operations Manager leads the end-to-end management of the company’s intelligence factory — a centralized hub that transforms data into actionable insights. This role is responsible for overseeing the intake, prioritization, execution, and delivery of analytical projects that support strategic and operational decision-making across the organization. The Manager partners with business leaders, data scientists, analysts, and IT teams to ensure timely, accurate, and high-impact analytics solutions.

You will have the opportunity to Make Great Things Happen!

• Program Leadership: Oversee daily operations of the Intelligence Factory, ensuring efficient workflow from data intake to insight delivery.
• Project Management: Prioritize and manage a portfolio of analytics and reporting initiatives; ensure alignment with business priorities and resource availability.
• Stakeholder Partnership: Act as the primary liaison between business units and analytics teams to define requirements, clarify objectives, and validate deliverables.
• Process Optimization: Design and continuously improve standardized processes, tools, and templates for data intake, analysis, and reporting.
• Data Quality & Governance: Ensure adherence to data governance standards and promote consistent, accurate data usage across all reporting platforms.
• Performance Measurement: Develop and maintain KPIs for Intelligence Factory performance, delivery timelines, and customer satisfaction.
• Team Leadership: Manage a cross-functional team of analysts, data engineers, and visualization specialists; coach and develop team members to enhance analytical capabilities.
• Innovation & Automation: Drive adoption of AI, machine learning, and automation to accelerate insight generation and improve decision support.
• Change Management: Partner with business units to promote a data-driven culture and ensure insights are effectively translated into action.

Qualifications

• Bachelor degree in Data Science, Business Analytics, Information Systems, or related field.
• 7+ years of experience in business intelligence, analytics operations, or data program management.
• Proven leadership experience managing cross-functional analytics or data teams.
• Up to 25% travel required.
• Proficiency in BI tools (e.g., Power BI, Tableau, Looker).
• Working knowledge of data warehousing, SQL, and cloud data platforms (Azure, AWS, or GCP).
• Familiarity with workflow and project management tools (Jira, Smartsheet, Asana).
• Strong business acumen with the ability to translate complex analytics into actionable business insights.
• Excellent communication and stakeholder management skills.
• Analytical mindset with a focus on efficiency, scalability, and continuous improvement.
• Leadership presence with a collaborative and coaching-oriented approach.