JOB DESCRIPTION & SPECIFICATION
Senior Project Technical Manager
Domain: Wealth Management
Technology
ROLE TITLE
Platform Focus: Data Ingestion &
Integration
Methodology: Agile / Azure DevOps
(ADO)
CORE FOCUS AREA
Sr. Project Technical Manager
KEY TEAM CONTACTS
Devs, Data Analysts, QA Data Engineers, DevOps
1. ROLE OVERVIEW
Data Ingestion Platform Execution & Planning
PRIMARY TECH STACK / TOOLS
Azure DevOps (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 at
the 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 DevOps Engineers. This
individual must possess a deep understanding of project team development activities, end-to-end SDLC
processes, and enterprise interdependencies, paired with strong communication skills and hands-on
expertise in Azure DevOps (ADO) and Agile sprint execution.
Strategic Mission
Ensure structured, predictable, and high-quality execution of data ingestion pipelines while aligning
interdependencies across enterprise Wealth Management ecosystems.
2. PRIMARY RESPONSIBILITIES
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Data Ingestion Platform Work Management: Direct, organize, and structure technical work across the
client's Data Ingestion Platform, ensuring clean mapping of data ingestion pipelines, ETL/ELT flows, and
client reporting feeds.
Sprint Planning & Execution: Lead end-to-end Sprint Planning, daily standups, backlog grooming, and
retrospectives utilizing Azure DevOps (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 multi
disciplinary engineering roles—including Developers, Data Analysts, QA Data Engineers, and DevOps
resources—to resolve blockers and drive sprint commitments to completion.
Enterprise Dependency Mapping: Proactively identify, track, and manage cross-functional
interdependencies across core enterprise areas, upstream data providers, downstream analytics, and
enterprise security/compliance platforms.
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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 DevOps 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 roadmaps
using exceptional written and verbal communication skills.
3. MINIMUM QUALIFICATIONS
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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 DevOps (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, DevOps 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.
4. PREFERRED EXPERIENCES
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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 & DevOps Familiarity: Understanding of automated CI/CD deployment pipelines,
infrastructure-as-code, DataOps, 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 Fundamentals).
Job Description | Senior Project Technical Manager — Wealth Management Data Platform