Director, Data Analytics; Microsoft products

Director of Analytics at BravoTECH — Dallas, TX area. This is a 3-6 month contract-to-hire role. 5 days onsite in North Dallas. No C2C or reverse referrals. This role does not sponsor now or in the future (no H1B/CPT/OPT).

• Defines and executes the company’s enterprise data and analytics strategy in alignment with corporate goals.
• Champions ethical AI use, governance, and workforce enablement.
• Promotes data and AI as strategic assets of innovation, efficiency, and competitive advantage.

• Leads enterprise-wide data governance programs, stewardship councils, and executive steering committees.
• Oversees knowledge worker enablement programs to increase data and AI literacy across the company.
• Ensures compliance with data privacy, security, and AI regulations.
• Operates in the context of a publicly traded company actively engaged in mergers and acquisitions (M&A), ensuring governance, integration, and compliance standards are maintained across acquired entities.
• Owns financial planning, budget development, and ongoing budget management for the data and analytics organization, ensuring resources are aligned to business priorities and cost efficiency.

• Provides strategic oversight of enterprise data architecture and integration within a Microsoft-centric environment (Azure, Dynamics 365, Power Platform, Power BI, SQL Server).
• Directs the design, deployment, and scaling of modern analytics platforms, data integration pipelines, and BI solutions.
• Ensures enterprise data is structured, secure, and optimized for analytical and operational use.
• Manages and mentors both onshore and offshore resources, ensuring global alignment on data and analytics initiatives.
• Builds a high-performing, collaborative, and scalable data organization across geographies.
• Balances internal expertise with partner/vendor resources to optimize delivery and innovation.

• Engages with senior leaders across business units to identify opportunities where data and AI can enable growth, efficiency, and transformation.
• Partners with IT and product development teams to design scalable solutions for future data science and predictive analytics capabilities.
• Drives adoption of standardized data practices and promotes alignment and re-use of enterprise data assets.

• Directs data classification, audits, and compliance measures to protect sensitive and critical information.
• Ensures cost efficiency in managing enterprise data while maximizing return on investment.
• Implements proactive risk management, monitoring, and continuous improvement processes for data and AI initiatives.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Business, or related field (Master’s preferred).
• 10+ years of progressive experience in Data & Analytics, with at least 5 years in enterprise leadership roles.
• Proven success setting AI policies and building governance programs for emerging technologies.
• Deep expertise in Microsoft technologies:
  Azure
  , Dynamics 365
  , Power Platform
  , Power BI
  , SQL Server
  , and related enterprise tools.
• Exposure to Microsoft Copilot.
• Experience managing offshore and global delivery teams.
• Strong understanding of data governance, privacy regulations, and AI architectures.
• Familiarity with Sarbanes-Oxley (SOX) controls and related compliance requirements for publicly traded companies.
• Financial acumen with proven experience in budget planning, forecasting, and resource management.
• Technical career foundation — e.g., starting as a data analyst, data engineer, or architect before moving into leadership roles.
• Background in manufacturing and engineering environments preferred.
• Advanced skills in program management, executive influence, and leading enterprise-wide transformation.
• Excellent change management and communication skills; able to engage both technical and non-technical stakeholders.
• Occasional domestic and international travel required. (must have valid passport)

• Director

• Full-time

• Information Technology

• Manufacturing