Delivery Manager

TalentOla; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

TalentOla in Dallas seeks a Service Delivery Manager to lead EDI migration, Azure modernization, and AI-assisted engineering transformation while ensuring operational excellence and HIPAA compliance. You will coordinate multi‑stream delivery, establish governance, KPIs, and executive dashboards, and mentor cross‑functional teams to drive transformation and optimize service delivery.

Responsibilities include managing SOWs, risk registers, cutover activities, and handover to cloud operations, with

Qualifications

• 10+ years of IT Program Management, Project Management, or Service Delivery Management experience managing large-scale multi-stream delivery programs.
• Proven experience leading EDI migration initiatives involving IBM Sterling B2B Integrator, TrustedLink, X12, EDIFACT, and enterprise integration platforms.

Responsibilities

• Lead and coordinate EDI Migration, L2/L3 Support, and Azure Modernization workstreams to ensure successful program delivery.
• Develop integrated program plans covering migration, support, cloud transition, dependencies, milestones, and risk mitigation strategies.
• Plan and execute cutover activities from TrustedLink to IBM Sterling B2B Integrator and subsequently transition EDI workloads to Azure.
• Ensure smooth handover of applications, infrastructure, operational processes, and documentation to cloud operations teams.
• Review, enhance, and standardize SOPs across migration, support, and cloud transition initiatives.
• Establish governance frameworks, escalation models, decision-making processes, KPIs, SLAs, and reporting standards.
• Create executive dashboards, delivery reports, transition readiness reports, and operational performance metrics.
• Manage composite teams comprising employees, vendors, development, QA, support, and cloud engineering resources.
• Provide consolidated status updates and executive communication to leadership and client stakeholders.
• Track program financials, manage SOW commitments, handle scope management, and oversee invoicing approvals.
• Maintain risk registers, manage program risks, and implement contingency plans for migration and cloud transition activities.
• Ensure HIPAA compliance, data security requirements, encryption controls, and audit readiness throughout migration and cloud onboarding.
• Guide adoption of agentic IDEs and AI-assisted development practices across modernization initiatives.
• Define architectural standards, AI governance controls, guardrails, review processes, and quality validation practices for AI-generated code.
• Establish review practices and quality checks for AI-generated code and AI-assisted SDLC processes.
• Mentor teams on balancing AI autonomy, maintainability, correctness, compliance, and engineering standards.
• Integrate AI-assisted and agentic development workflows into CI/CD and delivery pipelines.
• Design architectures that support AI-augmented software engineering and modernization programs.

Skills

IT Program Mgmt

EDI Migration

ServiceNow

Azure Cloud

Governance

HIPAA Compliance

Stakeholder Mgmt

JIRA

MS Project

AI-assisted SDLC

Education

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc

Tools

ServiceNow

JIRA

MS Project

Azure

Job description

Service Delivery Manager is responsible for leading EDI migration, Azure modernization, managed services delivery, governance, and AI-assisted engineering transformation while ensuring operational excellence, compliance, and successful program execution.

Responsibilities

• Lead and coordinate EDI Migration, L2/L3 Support, and Azure Modernization workstreams to ensure successful program delivery.
• Develop integrated program plans covering migration, support, cloud transition, dependencies, milestones, and risk mitigation strategies.
• Plan and execute cutover activities from TrustedLink to IBM Sterling B2B Integrator and subsequently transition EDI workloads to Azure.
• Ensure smooth handover of applications, infrastructure, operational processes, and documentation to cloud operations teams.
• Review, enhance, and standardize SOPs across migration, support, and cloud transition initiatives.
• Establish governance frameworks, escalation models, decision-making processes, KPIs, SLAs, and reporting standards.
• Create executive dashboards, delivery reports, transition readiness reports, and operational performance metrics.
• Manage composite teams comprising employees, vendors, development, QA, support, and cloud engineering resources.
• Provide consolidated status updates and executive communication to leadership and client stakeholders.
• Track program financials, manage SOW commitments, handle scope management, and oversee invoicing approvals.
• Maintain risk registers, manage program risks, and implement contingency plans for migration and cloud transition activities.
• Ensure HIPAA compliance, data security requirements, encryption controls, and audit readiness throughout migration and cloud onboarding.
• Guide adoption of agentic IDEs and AI-assisted development practices across modernization initiatives.
• Define architectural standards, AI governance controls, guardrails, review processes, and quality validation practices for AI-generated code.
• Establish review practices and quality checks for AI-generated code and AI-assisted SDLC processes.
• Mentor teams on balancing AI autonomy, maintainability, correctness, compliance, and engineering standards.
• Integrate AI-assisted and agentic development workflows into CI/CD and delivery pipelines.
• Design architectures that support AI-augmented software engineering and modernization programs.

Educational Qualifications

• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

Skills

Mandatory skills

• 10+ years of IT Program Management, Project Management, or Service Delivery Management experience managing large-scale multi-stream delivery programs.
• Proven experience leading EDI migration initiatives involving IBM Sterling B2B Integrator, TrustedLink, X12, EDIFACT, and enterprise integration platforms.
• Strong expertise in ServiceNow including Incident Management, Problem Management, SLA tracking, dashboard creation, reporting, and service governance.
• Hands-on experience managing Azure cloud migration and modernization programs with familiarity across Azure IaaS, PaaS, networking, security, and cloud operations.
• Strong experience in transition management, cutover planning, managed services delivery, operational readiness, and governance frameworks.
• Expertise in defining and implementing SOPs, governance models, KPIs, operational metrics, reporting standards, and delivery management processes.
• Experience managing cross-functional teams including development, QA, cloud engineering, support teams, and third-party vendors.
• Strong understanding of HIPAA compliance, security controls, audit requirements, and healthcare data protection standards.
• Proficiency with project management and operational tools such as ServiceNow, JIRA, and MS Project.
• Proven experience architecting and delivering systems using agentic IDEs and AI-assisted software development tools.
• Ability to define architectural intent, break features into agent-executable tasks, and govern AI autonomy through guardrails, permissions, reviews, and compliance controls.
• Experience supervising AI agents across multi-service systems, legacy modernization programs, and large-scale codebases.
• Strong understanding of AI-assisted SDLC operating models, compliance, auditability, traceability, and security implications of autonomous code execution.
• Experience integrating AI-assisted development and agent workflows into CI/CD pipelines and software delivery processes.
• Strong stakeholder management, communication, leadership, negotiation, and problem-solving skills.

Good to Have Skills

• PMP Certification.
• ITIL Foundation Certification.
• Experience in US Healthcare EDI environments and HIPAA-regulated organizations.
• Experience with AI governance frameworks and enterprise AI adoption programs.
• Exposure to large-scale application modernization and cloud transformation initiatives.
• Experience with autonomous coding agents, AI coding assistants, and AI-driven engineering productivity tools.
• Knowledge of cloud cost optimization, FinOps, and operational excellence practices.