Data and Analytics Manager

Data & Analytics Manager

The Data & Analytics Manager is the operational and people leader of a centralized, globally scoped data function. This role sits between senior leadership and a small but high-impact technical team and is responsible for translating business strategy into data priorities, delivering reliable analytics and reporting services across all departments, and building a global network of embedded Data Champions who extend the team's reach into regional offices worldwide.

This is not a purely technical role, nor is it purely managerial. The right person is a credible data practitioner who has grown into leadership. Someone who can review a data model in the morning, present to management in the afternoon, and coach a junior analyst at the end of the day. At this team size, the manager must be both a strategic operator and a hands-on contributor.

Team Leadership & Development

• Lead, mentor, and develop a close-knit data team
• Conduct regular 1:1s focused on performance, growth, and wellbeing
• Set clear goals and success metrics for each team member, aligned to organizational priorities
• Identify skills gaps and create development plans to address them
• Foster a team culture of curiosity, rigor, and psychological safety
• Advocate for team capacity, tooling, and headcount as the function scales

Delivery & Prioritization

• Own the team's intake and prioritization process — ensuring the right work gets done in the right order
• Run a lightweight agile or sprint-based delivery model suited to a small, globally-facing team
• Balance reactive business requests with proactive investment in platform quality and AI readiness
• Maintain a visible roadmap that communicates priorities and timelines to stakeholders
• Escalate resourcing conflicts and tradeoff decisions to the VP / Director with clear recommendations

Stakeholder Management

• Serve as the primary point of contact for data and analytics needs across all business units
• Build trusted relationships with department heads, regional leaders, and senior executives
• Translate business questions into analytical briefs and data requirements for the technical team
• Communicate findings, limitations, and recommendations in clear, non-technical language
• Proactively surface data insights to stakeholders who may not know to ask for them

Data Champion Network

• Own the design, launch, and ongoing operation of the global Data Champion program
• Define the champion selection criteria and work with regional leaders to identify candidates
• Develop and deliver the champion onboarding and certification curriculum
• Run the biweekly champion sync and quarterly capability workshops
• Conduct monthly quality audits of champion-produced content
• Advocate for champion recognition within their home business units
• Maintain the champion network documentation, training library, and internal data catalog
• Scale the network thoughtfully as the organization grows — including regional lead appointments

Data Governance & Standards

• Define and enforce enterprise data standards — metric definitions, naming conventions, certification criteria
• Maintain a tiered content model (certified vs. community) in the BI platform
• Work with the Data Engineer to establish and monitor data quality frameworks
• Ensure compliance with data privacy regulations across all regions of operation
• Own the data dictionary and ensure it stays current and accessible to champions and stakeholders

AI & Analytics Strategy

• Partner with the VP / Director to develop and execute the data roadmap in support of AI initiatives
• Ensure the team's data infrastructure work is aligned to AI readiness requirements
• Evaluate new tools, platforms, and methodologies and make recommendations for adoption
• Represent the data function in cross-functional AI and technology planning discussions
• Collaborate with VP / Director on building the internal case for future headcount (e.g., AI/ML Engineer) with data-backed justifications

Reporting & Impact Measurement

• Publish a monthly global data health report covering team output, champion activity, and data quality metrics
• Track and communicate the business impact of the data function to senior leadership
• Monitor platform usage across the organization and use it to guide enablement priorities
• Contribute to the annual planning process with capacity analysis and investment recommendations

Education and Experience

• Bachelor's Degree in Business/IT/Data Analytics Required, Master's Degree in Data Analytics/Science or Statistics preferred.
• 5+ years of experience in data analytics, business intelligence, or a related field
• 2+ years in a leadership role within a data function
• Proven ability to translate business requirements into analytical deliverables
• Strong working knowledge of BI platforms (AWS, Power BI, Fabric, Tableau, Looker, Alteryx, or equivalent)
• Proficiency in SQL; comfort reviewing and guiding work in Python or R
• Demonstrated experience managing stakeholder relationships across multiple departments or regions

Other Qualifications

• Experience in a globally distributed organization with operations across multiple time zones
• Familiarity with modern data stack tooling (dbt, Airflow, Snowflake, BigQuery, or equivalent)
• Exposure to machine learning, AI platforms, or predictive analytics workflows
• Experience building enablement programs — training, certification, or data literacy initiatives
• Background in organizational change management or data culture transformation
• Fluency in a second language is an advantage given the global scope of the role