Senior Project Technical Manager

Job Description: Strong EXP Banking Insurance or finance wealth Management Domain

PRIMARY RESPONSIBILITIES

• 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.
• 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.

MINIMUM QUALIFICATIONS

• Experience: 12+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.

PREFERRED EXPERIENCE

• 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.