Development & AI Strategy Manager

Jahnel GroupHouston, TX
6hOnsite

About The Position

Jahnel Group’s mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. This is a full time position with one of our closest clients. Who We’re Looking For Our client is seeking a Development & AI Strategy Manager to lead software delivery, data transformation, and AI innovation for a rapidly growing firm. The ideal candidate will bridge field operations and executive leadership by driving a governed, AWS-native data and AI strategy—while ensuring secure, compliant, and high-quality delivery at scale.

Requirements

  • 10+ years in software development, 5+ leading teams and vendor-managed delivery
  • Experience in regulated environments (SOX, NIST, ISO 27001) and large backlog prioritization
  • Skilled at communicating with technical teams and executives
  • AWS-native development (Lambda, ECS, API Gateway, DynamoDB, RDS, S3)
  • Infrastructure-as-code (CDK/Terraform), CI/CD pipelines, Python & Node.js
  • Data engineering & lakehouse architecture, BI (PowerBI/QuickSight)
  • Production AI: LLM-based features, AWS AI services, AI governance
  • DevSecOps, SOX ITGC controls, NIST CSF 2.0
  • Data governance: classification, access, lineage, audit logging

Nice To Haves

  • Construction, engineering, field services, or project-based industry experience (understand the business, not just the tech)
  • Agile/SAFe certification and practical experience scaling agile
  • Experience with various ERP systems, InEight, or similar construction management platforms
  • UX/UI design collaboration experience (working with designers to ensure usability)
  • Open source contributions or technical thought leadership (blogs, conference talks, etc.)
  • Advanced degree in Computer Science, Data Science, or related field

Responsibilities

  • Software Delivery & Governance Own and prioritize the development backlog, balancing business value and technical feasibility
  • Manage third-party vendors to ensure quality, velocity, and knowledge transfer
  • Embed DevSecOps best practices and maintain SOX-compliant processes
  • Track and report delivery metrics to improve speed, quality, and efficiency
  • Data Platform & Transformation Lead design and evolution of a governed data lakehouse
  • Ensure high standards for data quality, lineage, and timeliness
  • Build and enforce data governance frameworks (classification, access, retention, privacy)
  • Migrate Excel-based workflows to scalable, automated solutions
  • Enable secure self-service analytics across the organization
  • AI Strategy & Execution Define, prioritize, and operationalize the AI roadmap
  • Deliver production-grade AI features: conversational insights, intelligent automation, predictive analytics
  • Implement AI governance, including guardrails for LLM usage, bias mitigation, and compliance
  • Partner with business teams to identify and deliver high-value AI use cases
  • Application & UX Leadership Oversee development of applications for diverse users: mobile-first field tools to executive dashboards
  • Champion intuitive design, usability, and accessibility
  • Modernize legacy systems, reduce technical debt, and implement cloud-native, API-first solutions
  • Build developer enablement practices: reusable patterns, libraries, and documentation
  • Team & Vendor Leadership Lead, mentor, and grow a high-performing internal team across software, AI, and data disciplines
  • Structure and manage relationships with external development partners
  • Drive accountability, quality, and innovation across teams
  • Foster a culture of collaboration, continuous learning, and measurable business impac
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