Data and Analytics Manager
Role details
Job location
Tech stack
Job description
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
Requirements
- 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, * 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