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David Careers

Data Analytics and AI Manager

Posted 44 days ago

smartbridgeHouston (TX)
Data Warehousing SpecialistsOther Scientific and Technical Consulting Services

SENIORITY

Lead

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About the role

Data Analytics and AI Manager – Full-Time, Hybrid (Houston, TX)
Location: Houston, TX (West Sam Houston Parkway South, Energy Corridor area)
Employment Type: Full-Time, HybridAbout Smartbridge: Smartbridge is a U.S.-based technology consulting firm dedicated to transforming businesses through innovative solutions and digital modernization. As a trusted partner to our clients, we deliver impactful results across key industries such as Energy, Life Sciences, and Food & Beverage.
Position Summary: We are seeking a hands-on Data Analytics and AI Manager to lead the delivery of data and AI-driven projects across Smartbridge's client base. While this role will support clients across all of Smartbridge's industries, a significant portion of the work will center on our Energy clients, so Oil & Gas experience is strongly preferred. This role owns technical delivery from architecture through implementation, working directly in the platforms our clients run on — Microsoft Fabric, Azure Databricks, and the broader Azure data and AI ecosystem. The ideal candidate is comfortable staying hands-on with delivery rather than purely managing from a distance, and can translate business requirements into scalable, production-ready data and AI solutions across a range of industries.
Key Responsibilities:
  • Deliver data and analytics engagements across Smartbridge's full client portfolio — spanning Energy, Life Sciences, and Food & Beverage Lead end-to-end delivery of data and analytics engagements, including implementations built on Microsoft Fabric, Azure Databricks, and Azure AI/ML services
  • Architect high-performing, end-to-end cloud (and on-premise) data and analytics solutions, including AI/ML solutions
  • Oversee the design, development, implementation, and maintenance of enterprise data architecture using Agile methodology and the software development lifecycle
  • Drive business requirement gathering and review sessions to develop effective data integrations, applying both data expertise and industry knowledge
  • Promote data sharing, consistency, and reusability across the organization; ensure data quality across all project phases
  • Collaborate with business units and data owners to implement and maintain enterprise-level business analytics and data warehousing solutions
  • Identify and promote best practices for data modeling across business units and information domains
  • Ensure operational and analytical data warehouses support business reporting needs; establish standards for data governance and consistency
  • Execute technical feasibility assessments, solution estimation, and proposal development for data and analytics opportunities
  • Develop functional and technical designs for client solutions, staying hands-on through delivery rather than delegating execution entirely
  • Lead and mentor small to mid-sized delivery teams on cloud data and analytics migrations and implementations in enterprise environments
  • Manage project scope, timeline, budget, risk, and client communications for assigned engagements
  • Serve as the primary point of contact for client reporting and stakeholder communication
  • Document and share technical best practices with clients and the Smartbridge community, contributing to our internal IP repository
  • Strategize, plan, and support business development related to data and analytics opportunities, including client-facing presentations
  • Maintain and grow client relationships, bringing forward ideas that help clients improve business performance
Qualifications:
  • 5+ years of experience delivering data, analytics and AI solutions.3-5+ years direct Oil and Gas experience required in Upstream or Midstream. Medical Device Manufacturing experience will also be considered.
  • Strong industry business acumen with a solid understanding of the Upstream, Midstream, or Medical Device Manufacturing business value chain.
  • Hands-on experience with Microsoft Fabric and Azure Databricks required
  • Strong background in Azure data platform tools (Data Factory, Synapse, Azure SQL, or similar)
  • Working knowledge of AI/ML solution design and implementation on AzureProven experience managing and staying technically hands-on in data project delivery (not purely oversight)
  • Strong understanding of Agile delivery methods and the software development lifecycle
  • Excellent communication, stakeholder management, and client-facing skills
  • Bachelor's degree in Computer Science, Data Science, Business, or a related fieldPMP certification required
  • Candidates who do not meet these minimum requirements will not be considered.
Additional Requirements: Hybrid role based in Houston, TX (Energy Corridor); regular onsite presence required for client and team collaboration Reasonable commuting distance required; relocation assistance is not available
Summary
Location: Houston, TX, United States
Type: Full Time
Experience: Experienced

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