Senior Project Manager

Project description


We are looking for a highly skilled, data-driven professional who can operate at the intersection of data analysis, delivery management, and business requirements. This role is ideal for someone who is comfortable owning complex data workstreams while also guiding projects through both Agile and Waterfall delivery frameworks. You will play a key role in shaping data insights, supporting data infrastructure initiatives, and ensuring that data requirements are fully understood, documented, and delivered.

Responsibilities

Perform deep-dive data analysis to support strategic decision-making, solution design, regulatory reporting, and operational efficiency.

Translate raw data into clear insights, visuals, and recommendations for stakeholders.

Work closely with data engineering and architecture teams to understand data models, data flows, and dependencies across systems.

Contribute to the design and improvement of data infrastructure, including data pipelines, integration points, and quality controls.

Define data requirements, data mapping, and data validation criteria for new initiatives or system enhancements.

Support data quality assessments, lineage documentation, and issue resolution.

Lead delivery of data-related workstreams, coordinating across business, technology, and data teams.

Run Agile ceremonies (stand-ups, sprint planning, backlog refinement, retrospectives) as well as Waterfall governance where applicable.

Own RAID management, workstream planning, sprint reporting, and delivery tracking focused on data milestones.

Elicit, document, and validate business and data requirements, ensuring alignment with strategic data objectives.

Proactively identify risks or blockers related to data sourcing, data quality, or infrastructure constraints.

Skills


Must have

Strong experience in data analysis, including data exploration, profiling, and interpretation.

Proficiency with analytical tools (e.g., SQL, Excel, BI tools) to extract, manipulate, and interpret datasets.

Ability to operate in a hybrid role combining PM, BA, and Scrum Master capabilities within data-centric projects.

Proven experience facilitating delivery using both Agile and Waterfall methodologies.

Solid high-level understanding of data infrastructure, including data pipelines, storage layers, integration patterns, and data governance principles.

Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders.

Nice to have

Experience with Avaloq or other core banking/wealth/data platforms.

Familiarity with cloud-based data environments or modern data architectures.

Other

Languages


English: C1 Advanced

Seniority


Senior