Data and Analytics Manager

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

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

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

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

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

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

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