LCS Business Intelligence, Data Governance Manager

Role Overview

• Lead the delivery of BI solutions that provide applicable insights across LCS operations, finance, delivery, quality, and performance management.
• Partner with business stakeholders to understand priorities, translate requirements into analytics and AI-enabled insight opportunities, and prioritize BI demand.
• Improve adoption of standardized dashboards, reporting, and self-service analytics to maximize value from existing BI platforms.
• Ensure insights are in consideration of priorities and ensure proactive, data-driven decision-making across LCS.
• Identify opportunities where advanced analytics, predictive insights, or AI-assisted decision support can enhance outcomes.
• Develop LCS data governance frameworks, including data ownership, stewardship, standards, and quality controls.
• Establish definitions, metrics, and master data practices to reduce ambiguity and improve trust in data.
• Ensure data foundations (quality, lineage, security, access, and documentation) are in place to support AI readiness and responsible AI use.
• Partner with enterprise data, IT, cybersecurity, compliance, and AI governance teams to ensure agreement on corporate policies.
• Monitor and improve data quality, integrity, and consistency across different LCS data sources, recognizing that AI success is directly dependent on high-quality, well-governed data.
• Support AI use case prioritization by assessing data feasibility (availability and accuracy) for use cases under consideration.
• Be the LCS data and analytics subject-matter expert, guiding best practices for reporting, visualization, data governance, and AI-adjacent analytics capabilities.
• Support integration initiatives, system changes, and new digital capabilities by ensuring data readiness, governance, and reporting alignment.
• Collaborate with AI, digital, and automation initiatives to ensure LCS data is prepared for AI models, copilots, and advanced analytics use cases.
• Contribute to the LCS Operational Excellence strategy by embedding analytics, governance, and AI-ready data practices into business processes.
• Lead a team of BI managers, data engineers, scientists and analysts (combination of direct and indirect), fostering a culture of collaboration, curiosity, and continuous improvement.
• Act as a trusted advisor to senior leaders, clearly communicating insights, risks, data limitations, and AI readiness considerations in a business-focused manner.
• Educate and influence stakeholders on the importance of data quality, governance, and discipline as critical enablers of AI success.
• Build strong cross-functional relationships across LCS, IT, Finance, Quality, Operations, and Digital/AI teams.

Requirements

• Bachelor's degree or equivalent years of experience
• Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
• 5+ years of experience in Business Intelligence, analytics, and data visualization tools (e.g., Power BI or equivalent).
• Demonstrated experience with data governance, data quality management, and data standards in complex organizations.
• Understanding of AI and advanced analytics concepts, including how data quality, structure, and governance impact model performance and reliability.
• Experience working with multiple data sources, integrating disparate systems, and addressing data consistency challenges.
• Experience partnering with senior stakeholders to drive adoption of analytics and AI-informed decision-making
• Experience balancing tactical reporting needs with long-term strategic analytics, governance, and AI readiness initiatives.
• Familiarity with operational, services, or industrial business models
• Familiarity with the LCS business
• Experienced people manager, both direct and indirect.

Tech Stack

• Cyber Security

Benefits

• Health Insurance including Medical, Dental and Vision
• 401k
• Paid Time off
• Parental and Caregiver Leave
• Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.