Overview

Genesis10 is currently seeking a Senior Director, Enterprise Data & Analytics for an Onsite position with a Global Manufacturing Company located in Minneapolis, MN. This is a direct hire opportunity. Compensation: Up to $225,000.00 per year, W2, based on qualifications + up to 25% bonus Position Overview: This leadership role will set the enterprise data strategy, ensuring the business operates from trusted, consistent, and well-governed core data. The position establishes enterprise-wide data standards and defines how data is owned, governed, and used to support reliable operations and scalable growth. A key focus is Master Data Management (MDM), with an emphasis on building a multi-year roadmap for critical business data domains. Please note: This role is currently based at our client's Minneapolis office and will transition to their new headquarters in Dayton, MN, in 2027. Key Responsibilities: Lead the enterprise data strategy with a foundation-first mindset-prioritizing clean, reliable core data over stand-alone analytics solutions Define how critical enterprise data (e.g., customer, product, pricing, installed base, supplier) is created, standardized, governed and reused across the company Establish clear enterprise data standards, definitions and systems of record so teams operate from consistent and trusted data Prioritize and drive resolution of high-impact data quality issues that affect operations, revenue and customer experience (e.g., pricing discrepancies, order-to-cash errors, duplicate customers) Establish the MDM vision and multi-year roadmap, defining which data domains are managed, the systems that own them, the fidelity standards applied, and the business stakeholders accountable for their governance Define the MDM operating model and architecture with deliberate, documented decisions aligned to the enterprise applications and data platforms Lead MDM delivery as an enterprise program: engage stakeholders in data stewardship, match/merge rules, hierarchy design, and exception management; with an initial focus on Product and Customer MDM delivery Measure MDM program health with visible, business-relevant KPIs such as: Golden record completeness rate attribute fill rate by domain, duplicate rate, re-dirty rate, match confidence, stewardship SLA compliance, and downstream system adoption Establish a data governance model that embeds accountability in the business and prevents re-dirtying of enterprise data Ensure clear business ownership for data quality and definitions, with stewardship embedded in functions - even within an IT-owned data operating model Define decision rights for data standards and exceptions, with governance that is lightweight, practical, and aligned to business cadence Embed data quality controls directly into core business workflows (CRM, ERP, etc.), emphasizing front-end prevention over downstream cleanup Ensure data platforms and architecture support trusted foundations, reducing duplication, manual reconciliation and conflicting reports Enable analytics, reporting and AI only where underlying data is fit for purpose, scalable and aligned to business priorities Partner with business leaders to apply clean data to a small set of high value use cases, translating data improvements into commercial, operational and digital impact Ensure analytics and AI practices comply with privacy, security, regulatory, and risk management requirements in partnership with IT, Legal and Cybersecurity Lead, mentor, manage and staff a team of leaders, ensuring alignment with organizational goals and promoting a culture of leadership excellence Develop and implement strategies for talent acquisition and management, succession planning, and leadership development to build a pipeline of future leaders Drive team performance by setting clear goals, providing ongoing feedback, and facilitating professional growth opportunities Establish, manage, and be accountable for the annual Data, Analytics and MDM strategy b