alliantgroup
Head of Artificial Intelligence and Information Technology
Houston, TX, USA · Exec
Sponsorship not specifiedDetected 83 days ago
AWSGCPAzureMachine LearningData EngineeringData ScienceLLMsAgentic AIStatisticsAgileBusiness DevelopmentForecastingLeadershipCommunicationMentoringPublic Speaking
About the role
- You will be a key voice at the leadership table, translating technology strategy into tangible business outcomes and revenue.
- This role will report to the Chief Executive Officer and Chief Operating Officer.
Responsibilities
- Establish feedback loops between the FDE team and internal product/engineering teams to ensure real-world client problems drive the internal technology roadmap.
- Personally lead or oversee FDE deployments at strategic accounts, particularly in the early stages of the program or for the most complex clients.
- Build and track FDE commercial metrics, including revenue generated, client satisfaction scores, expansion rates, and time-to-value per deployment.
- Develop a knowledge management system that captures learnings, reusable assets, and best practices from each FDE engagement, making the team progressively more effective over time.
- Lead, inspire, and develop a multidisciplinary technology team spanning software engineers, data scientists, AI specialists, IT operations, project managers, and Forward Deployed Engineers.
- Build and execute a team capability roadmap to support identifying skills gaps and driving hiring, training, and development plans.
Requirements
- Required bachelor's degree in computer science, Data Science, Statistics, Engineering, or related fields.
- 10+ years of progressive technology experience, with at least 3-5 years in a senior leadership role.
- Experience scaling a technology function in a high-growth or venture-backed environment.
- Proven track record as a solution architect, including designing and delivering complex, enterprise-scale AI and IT systems.
- Deep expertise in at least two of: AI/ML platforms, cloud architecture (AWS/Azure/GCP), enterprise software, data engineering, or cybersecurity.
- Ability to thrive in a fast-paced work environment with aggressive timelines and delivery dates.
- Effective people skills, including the ability to set clear expectations with stakeholders and escalate issues as needed.
- Required bachelor's degree in computer science, Data Science, Statistics, Engineering, or related fields. Master's in business administration or related field preferred.
- Demonstrable experience owning end-to-end technology delivery on time, on budget, and to quality.
- Direct involvement in business development or pre-sales, including technical presentations, solution design for prospects, and bid/RFP responses.
- Experience building or operating a forward deployed, embedded, or field engineering function, or equivalent deep client-side delivery experience.
- Experience building, leading, and developing high-performing technology teams of 5+ people.
- Strong commercial acumen with the ability to manage budgets, build business cases, and articulate technology ROI in revenue terms.
- Excellent communication skills and able to translate technical complexity for non-technical audiences up to board and investor level.
- Relevant certifications: AWS Solutions Architect, Azure Expert, TOGAF, PMP, or similar.
- High attention to detail and sense of urgency.
- Flexibility to adapt to changing business requirements or objectives.
Nice to have
- Master's in business administration or related field preferred.
Skills
- Translate complex business requirements into scalable, resilient, and cost-effective technical solutions.
Compensation
- alliant offers a comprehensive compensation and benefits package including 100% employer paid medical /dental premiums for single coverage for certain options, 401(k) matching, PTO, company provided life insurance and disability, onsite gym
Benefits
- Develop and communicate a clear, compelling technology vision and multi-year roadmap aligned to business strategy.
- Create an inclusive, high-trust team culture where innovation is encouraged and failure is treated as a learning opportunity.
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