Technical Project Manager

Saint Louis, United States | Posted on 08/24/2026

BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.

JOB DESCRIPTION & SPECIFICATION Senior Project Technical Manager Domain:
Wealth Management

Technology ROLE TITLE Platform Focus:
Data Ingestion &Integration Methodology:
Agile / Azure Dev Ops(ADO)
CORE FOCUS AREASr. Project Technical ManagerKEY TEAM CONTACTSDevs, Data Analysts, QA Data Engineers, Dev Ops
1. ROLE OVERVIEW Data Ingestion Platform Execution & Planning PRIMARY TECH STACK / TOOLS Azure Dev Ops (ADO), MS Azure Cloud Environment The Senior Project Technical Manager will drive technical delivery, work organization, and strategic planning for a core Data Ingestion Platform supporting a high-profile Wealth Management client. Sitting atthe intersection of technical architecture, software delivery, and project management, this role is essential for orchestrating complex data workflows and turning architectural vision into executed reality.

The successful candidate will act as the delivery nexus across cross-functional engineering pods—collaborating daily with Developers, Data Analysts, QA Data Engineers, and Dev Ops Engineers. This individual must possess a deep understanding of project team development activities, end-to-end SDLCprocesses, and enterprise interdependencies, paired with strong communication skills and hands-on expertise in Azure Dev Ops (ADO) and Agile sprint execution.

Strategic Mission Ensure structured, predictable, and high-quality execution of data ingestion pipelines while aligninginterdependencies across enterprise Wealth Management ecosystems.
2. PRIMARY RESPONSIBILITIES

• Data Ingestion Platform Work Management:
  Direct, organize, and structure technical work across theclient's Data Ingestion Platform, ensuring clean mapping of data ingestion pipelines, ETL/ELT flows, andclient reporting feeds.
• Sprint Planning & Execution:
  Lead end-to-end Sprint Planning, daily standups, backlog grooming, and retrospectives utilizing Azure Dev Ops (ADO) or similar Agile tooling. Translate technical requirements into actionable user stories and task breakdowns
• Cross-Functional Pod Coordination:
  Work comfortably and collaboratively on a daily basis with multidisciplinary engineering roles—including Developers, Data Analysts, QA Data Engineers, and Dev Ops resources to resolve blockers and drive sprint commitments to completion.
• Enterprise Dependency Mapping:
  Proactively identify, track, and manage cross-functionalinterdependencies across core enterprise areas, upstream data providers, downstream analytics, and enterprise security/compliance platforms.
• Development Lifecycle Tracking:
  Maintain comprehensive insight into high-level development activities,build phases, code migration schedules, and technical deliverables across the platform.
• QA & Deployment Alignment:
  Coordinate with QA Data Engineers and Dev Ops teams to streamline environment readiness, test automation pipelines, data validation strategies, and release management.
• Technical Communication & Stakeholder Engagement:
  Act as the primary liaison between technical teams and business stakeholders, delivering clear status updates, risk mitigations, and project roadmapsusing exceptional written and verbal communication skills.

3. MINIMUM QUALIFICATIONS

• Experience:
  
  7+ years of experience in Technical Project Management, Technical Delivery, or Technical Program Management within complex IT environments.
• Data Platform Familiarity:
  Proven background organizing and delivering projects involving enterprise data architectures, Data Ingestion Platforms, ETL/ELT pipelines, or data warehousing.
• Agile & Tooling Expertise:
  Extensive experience driving overall Sprint Planning and delivery using
  
  Azure Dev Ops (ADO), Jira, or equivalent enterprise Agile platforms.
• Team Orchestration:
  Proven track record of direct collaboration and credibility with hands-on technical teams (Developers, Data Analysts, QA Data Engineers, Dev Ops Engineers).
• Enterprise Acumen:
  Ability to identify and manage high-level technical interdependencies, enterprise architecture…