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 & SPECIFICATIONSenior Project Technical Manager Domain:
Wealth Management

TechnologyROLE TITLEPlatform Focus:
Data Ingestion &Integration Methodology:
Agile / Azure Dev Ops(ADO)
CORE FOCUS AREASr. Project Technical Manager KEY TEAM CONTACTSDevs, Data Analysts, QA Data Engineers, Dev Ops
1.

• 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 Opsresources 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 streamlineenvironment readiness, test automation pipelines, data validation strategies, and release management. Technical Communication & Stakeholder Engagement:
  Act as the primary liaison between technicalteams and business stakeholders, delivering clear status updates, risk mitigations, and project roadmapsusing exceptional written and verbal communication skills.

• 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 technicalteams (Developers, Data Analysts, QA Data Engineers, Dev Ops Engineers).
• Enterprise Acumen:
  Ability to identify and manage high-level technical interdependencies, enterprise architecture frameworks, and organizational workflows.
• Communication
  
  Skills:
  
  Excellent written and verbal communication skills, with a demonstrated ability to translate technical concepts for business stakeholders and articulate project goals clearly.
• Education:
  
  Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical industry experience.

• Wealth Management / Financial Services Domain:
  Direct project experience within Wealth Management, Capital Markets, Asset Management, or Financial Services, with knowledge of wealth data structures (portfolios, accounts, transactions, market data).
• MS Azure Cloud Environment:
  Direct hands-on or technical management experience within the Microsoft Azure Cloud ecosystem (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake).
• Data Quality & Dev Ops Familiarity:
  Understanding of automated CI/CD deployment pipelines,infrastructure-as-code, Data Ops, and automated data quality validation frameworks.
• Professional
  
  Certifications:
  
  Agile or Project Management certifications (PMP, PMI-ACP, CSM) or Cloud certifications (e.g., Microsoft Certified: Azure Fundamentals / Azure Data…