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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Regional Data Lead - Americas - **Company:** Moët Hennessy - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $130,000.0 - $163,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Data Governance, Data Systems, Python (Programming Language), SAP ERP, Power BI, DataOps, SQL Databases, Data Streaming, Unstructured Data, Data Strategy, Information Technology, Data Analytics, Data Management, Tools for Reporting, Data Delivery, Data Pipelines - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=caa9b29727322721 ## About the Role * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. * Proven experience (8+ years) in data management, analytics, or a similar role, preferably in a regional or multi-market context. * Proficiency in data analytics tools and platforms (e.g., SQL, Python, Power BI). * Experience with data governance, data privacy, and compliance requirements. * Ability to translate complex data findings into actionable business recommendations. * Proficient in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. * Experience with structured / unstructured data. Professional Experience & Skills: * Proficiency in Enterprise Business Processes (Sales and Distribution, P2P, R2R, etc.) * Functional Requirements Design * Functional understanding of SAP ERP, CRM, and SCM Systems * Strategic thinking and problem-solving skills * Business acumen and commercial awareness * Strong interpersonal and influencing abilities * Results-oriented with a focus on value creation * Highly Organized, and able to systematically multi-task in a dynamic environment * Proven stakeholder management skills * Drives to win, able to communicate, challenge and influence effectively within group settings * Demand Management * Service Management * Engages and inspires others * Fosters Collaboration * Strong ability to produce good written communications and professional documentation, External applicants must be currently authorized to work in the United States on a full-time basis. ## Description The Regional Data Lead will collaborate across all business units-including Maisons and Discos-to optimize, design, and build data flows from the ground up where necessary. Working within a globally integrated information technology team, this role ensures consistent data delivery across the business and serves as a critical bridge between central data teams and regional business units. The Regional Data Lead ensures regional data initiatives are aligned with business objectives and that data-driven insights inform strategic decision-making and operational excellence., * Develop and execute regional data strategy aligned with global and regional business priorities, identifying opportunities to leverage data, analytics, and AI to drive business value, process improvement, and data centricity. * Partnered closely with business stakeholders, executives, IT, and central data teams to identify and onboard Data Owners and Data Product Owners, support data literacy, address data needs, and ensure effective integration of systems and platforms across the region. * Lead the collection, analysis, and interpretation of data to deliver actionable insights, while overseeing the development of analytics tools, data pipelines, and scalable solutions supporting customer acquisition, operational efficiency, and key business metrics. * Act as the regional point of contact for Data & AI, supporting AI and advanced analytics initiatives from framing through deployment, advising teams on opportunities and governance, and driving change management and operational readiness. * Ensured strong data governance across regional data assets by promoting best practices in data management, reporting, data quality, security, PII documentation, Responsible AI assessment, and compliance with organizational security guidelines. * Foster collaboration and consistency across businesses and countries by participating in portfolio syncs, building local Data & AI communities, sharing best practices, and helping shape a scalable regional data ecosystem adapted to both common and market-specific needs. * Applied expertise in GCP, data governance, data mesh principles, Agile/SaFe delivery, automation, and infrastructure scalability to improve data operations, reporting, and cross-functional execution Project Management * Manage end-to-end project delivery of data solutions, from business case development through user adoption and ongoing operation (including scope, specification, UAT, rollout, and adoption). * Lead the implementation of data solutions across entities in the Americas, coordinating business and IT stakeholders. * Coordinate external vendors and internal teams to ensure solutions deliver expected business value. * Strong leadership and project management skills. * Excellent communication and stakeholder management skills. * Strong interpersonal skills, with a sense of customer service and strong communication and persuasion skills. * Analytical and synthesis skills, with experience working in a matrix organization and leading diverse stakeholders Expected Results * Increased Business Value: Measurable improvements in regional revenue, cost efficiency, and customer satisfaction (e.g., NPS) as a result of data-driven initiatives. * Enhanced Data Quality: Consistent delivery of high-quality, reliable data to support reporting and analytics. * Adoption of Data Solutions: High adoption rates of data-driven tools, dashboards, and processes among regional business units. * Successful Project Delivery: On-time and effective delivery of key data projects, including advanced analytics and AI initiatives, achieving defined objectives and ROI. * Improved Decision-Making: Demonstrable evidence of data-driven decision-making at all levels of the regional organization. * Compliance and Security: Full compliance with data governance, privacy, and security standards across all regional data activities. * Stakeholder Satisfaction: Positive feedback from business stakeholders regarding the value and impact of data initiatives. ## Related Videos - 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