Head of AI & Data Platform DevSecOps

Job Family:

Travel Required:

Clearance Required:

We are seeking an experienced leader to establish and lead the AI and Data Platform DevSecOps function across our delivery portfolio.

This leader will be responsible for Designing & Operationalizing an e2e operating model for AI/ML, Data Engg. & BI and Data Platform solutions post go-live.

This is a new role within AI & Data function & requires creating the DevSecOps operating model ground-up, including Incident Mgmt., Escalation Frameworks, SLAs/OLAs, Governance Model, Tracking & Reporting as well as defined production service delivery standards.

In addition to Operations focus, this role will also deliver on small change requests / enhancements. You will be expected to manage these product enhancements backlog with Product Owners, ensuring prioritization and delivery.  

This function will be the central “Command & Control” Team - responsible for ensuring Production Stability, Issue Mgmt. & Resolution, Root-Cause-Analysis and Co-ordination between Business, Engineering Teams and Platforms.

KEY RESPONSIBILITIES:

Operations and Maintenance Op-Model Setup

• Design & implement e2e Development Support operating model for AI & Data deliveries
• Establish L1 / L2 / L3 support framework, defining RACI, ownership boundaries, escalation paths and coverage model
• Define Prod Support processes, workflows and governance standards
• Build the optimal organization structure, staffing model and skill requirements
• Define Operating Model to support small enhancements / change requests – and how will it integrate with the broader AI Studio Delivery Model.

Incident & Problem Management

• Lead management of production incidents across AI & Data applications
• Establish incident triage, prioritization and severity classification model & SLAs
• Ensure timely resolution of incidents aligned to defined SLAs
• Drive Incident Mgmt. & Communication for critical production issues

Root Cause Analysis & Continuous Improvement:

• Ensure RCA completion for all major incidents and recurring issues
• Drive remediation plans, preventive controls and production hardening initiatives
• Identify systemic issues and recommend platform/process improvements

L3 Engineering Coordination

• Define framework for routing L3 (complex issues) to Engineering teams
• Establish L3 escalation protocols and turnaround expectations
• Ensure closed-loop tracking of defects and enhancements routed to development

Governance Model:

• Define & track SLAs, OLAs, KPIs and DevSecOps metrices for continuous improvement
• Platform DevSecOps Dashboard & Reporting for tracking and stakeholder communications
• Lead governance forums across AI Studio Delivery & business stakeholders

Tooling & Automation

• Define Support Tooling: Issue Ticketing, Monitoring, Alerting, Knowledge Mgmt.
• Drive long term goal for Operational Efficiency via Automation
• Build Knowledge-base / SoPs for products entering within purview of Platform DevSecOps

Transition to Support

• Define “Intake Model” for Platform DevSecOps hand-off from AI Studio Engineering teams
• Own Transition Governance for onboarding new AI & Data solutions into support

GOOD TO HAVE EXPERIENCE:

• Experience supporting cloud-based platforms (e.g. Azure, Snowflake, DataBricks)
• Front-end skills in any (React, Angular); backend skills in Python or Java with API
• Familiarity with LLM integrations, RAG pipelines and Prompt Engineering
• Exposure to multi-agent systems and advanced GenAI architecture
• Familiarity with Vector DB and Retrieval Optimization
• Exposure to AI/ML operational support, model monitoring or MLOps
• Familiarity with tools such as ServiceNow, Jira and DevOps pipelines

QUALIFICATIONS:

• 10+ yrs of experience in DevSecOps Support / Managed Services / IT Operations, with minimum 3+ yrs operating as a Support Lead
• Education: BE / B-Tech

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.