Technical Delivery Lead

Adaptive Technology Insights; St. Louis (MO); On-site; USD 110,000 - 160,000; Full time

Job summary

Adaptive Technology Insights (ATI) seeks a Technical Delivery Lead with 6–8 years of enterprise delivery experience. You will guide solution design, coordinate cross-functional teams across engineering, data, and platform, and influence technical decisions without hands-on ownership of every layer.

You will work on APIs, SQL validation, cloud environments, CI/CD, and production support while ensuring deliverables are buildable, testable, and operable for stakeholders.

Qualifications

• 6–8 years of technical delivery or solution delivery experience in enterprise environments.
• Experience leading cross-functional teams and delivering complex initiatives from concept to production.
• Hands-on delivery experience with API-based integrations and application lifecycle management.
• Understanding of REST, JSON payloads, HTTP methods, and API testing tools.

Responsibilities

• Own technical delivery from discovery through planning, implementation, testing, release, and stabilization.
• Manage milestones, scope, risks, quality, and stakeholder communication across teams.
• Facilitate sessions on API contracts, integration patterns, data models, and deployment readiness.
• Review architecture and implementation for feasibility, scalability, and risk.
• Define REST API requirements, payload structures, and testing strategies with engineers.
• Support SQL/data validation for troubleshooting and production issue analysis.
• Collaborate with platform and DevOps on CI/CD, environment readiness, and observability.

Skills

API design

SQL proficiency

CI/CD

Cloud platforms

REST APIs

Git workflows

Stakeholder communication

Education

Bachelor’s degree in CS/SE/IS/Engineering

Tools

Git

Jira

Confluence

Azure DevOps

MS Project

Job description

ATI Technical Delivery Lead – Software & Data Platforms

Role Summary

Adaptive Technology Insights (ATI) is seeking a Technical Delivery Lead with 6–8 years of experience leading enterprise technology initiatives and strong technical credibility in software delivery, integration, and data platforms. This role is designed for a delivery-focused leader who can guide solution design, manage cross-functional execution, and influence technical decisions without being expected to act as the primary hands-on engineer across every layer of the stack.

The role blends delivery leadership with practical technical understanding in APIs, SQL/data validation, cloud environments, CI/CD, and production support. The successful candidate will work closely with engineering, data, platform, and business stakeholders to drive delivery outcomes, identify risks early, and ensure solutions are buildable, testable, and operable.

This is not a traditional project coordination role. The ideal candidate should be able to understand architecture, assess technical trade-offs, review implementation quality, and support issue resolution across teams. However, the expectation is targetted technical depth and delivery leadership, not full-stack hands-on ownership of every engineering area.

Core Responsibilities

• Own technical delivery from discovery and solution framing through planning, implementation, integration, testing, release, and stabilization.
• Manage milestones, dependencies, scope, risks, quality, and stakeholder communication across engineering, data, infrastructure, and business teams.
• Facilitate technical working sessions on API contracts, service integration patterns, database/data model considerations, deployment readiness, and operational support expectations.
• Review architecture and implementation approaches for feasibility, scalability, maintainability, and delivery risk.
• Partner with engineers and architects to define REST API requirements, payload structures, integration patterns, testing strategies, and operational guardrails.
• Work with SQL and data validation techniques to support troubleshooting, reconciliation, acceptance criteria, and production issue analysis.
• Guide technical teams on transactional and hierarchical data patterns, query behavior, indexing considerations, and downstream data movement impacts.
• Support delivery of ETL or data pipeline work where needed, including data validation, transformation logic, and quality checks.
• Collaborate with platform and DevOps teams on environment readiness, deployment controls, automation, CI/CD workflows, and production observability.
• Drive production readiness through monitoring, logging, alerting, incident support, rollback planning, and operational improvements.
• Maintain structured delivery artifacts such as RAID logs, sprint planning inputs, dependency trackers, risk registers, and executive status reporting.
• Facilitate Agile ceremonies and executive communication, converting technical status, risk, and quality signals into clear business language.
• Ensure adherence to security, SDLC, testing, release governance, and change-management standards.

Scope and Role Fit

This role expects a candidate who can operate effectively as a delivery leader with credible technical fluency. Strong candidates will be able to:

• understand enterprise application and integration architecture at a practical level;
• question technical decisions with informed judgment;
• support design and implementation reviews without owning every code path personally;
• work across product, data, engineering, and infrastructure stakeholders;
• drive execution while maintaining quality, risk awareness, and delivery accountability.

The role does not require the candidate to be the primary developer for backend services, data pipelines, cloud infrastructure, Kubernetes, or AI model implementations. Instead, the candidate should be able to guide delivery across these areas, work with specialists, and make informed decisions about impact, sequencing, and risk.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related discipline, or equivalent practical experience.
• 6–8 years of relevant technical delivery, engineering leadership, or solution delivery experience in enterprise environments.
• Demonstrated experience leading cross-functional teams and delivering complex technical initiatives from concept to production.
• Hands-on experience with software solution design and delivery, including API-based integrations, service interactions, and application lifecycle management.
• Practical understanding of REST APIs, JSON payloads, HTTP methods/status codes, authentication/authorization patterns, and API testing tools such as Postman or Swagger/OpenAPI.
• Ability to read, explain, debug, and contribute to code and technical designs at a meaningful level.
• Proficiency with SQL, including joins, aggregations, subqueries, filtering, and data-validation workflows.
• Working knowledge of relational databases and transactional data models, including schema concepts, normalization, indexing, and query performance considerations.
• Experience with Git-based workflows, automated build and test practices, and CI/CD delivery pipelines.
• Practical understanding of release practices, environment configuration, deployment controls, build artifacts, rollback planning, and operational troubleshooting.
• Experience with Jira, Confluence, Azure DevOps, MS Project, or similar delivery tools.
• Strong communication and stakeholder management skills with experience presenting technical progress and delivery risks to business and leadership audiences.

Preferred Qualifications

• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Familiarity with containerized workloads and environments such as Docker or Kubernetes.
• Exposure to infrastructure-as-code tools such as Terraform or Bicep.
• Experience with ETL/data movement tools, data quality checks, or pipeline orchestration.
• Familiarity with Python for automation, ETL scripts, or data processing tasks.
• Experience integrating with AI/ML or generative AI services, with awareness of evaluation, governance, and operational considerations.
• Experience working in consulting, enterprise modernization, or large-scale distributed engineering environments.
• PMP, PMI-ACP, CSM, SAFe, or comparable project/delivery certifications.

Technical Expectations

The ideal candidate should be prepared to discuss:

• a technical solution or integration they helped deliver;
• a production issue they helped investigate or resolve;
• a technical implementation or architecture decision they evaluated or influenced;
• SQL queries or data validation work they used in troubleshooting or analysis;
• a CI/CD or deployment process they contributed to or improved;
• how they coordinate technical work across engineering, data, and platform teams.

Candidates should be comfortable with a technical conversation that may include:

• API contracts and integration design review;
• release/deployment workflow discussion;
• production troubleshooting and root-cause analysis;
• architecture trade-off conversations with engineers and stakeholders.