Manager - Banking; Data Management & Governance

Your Growth Unleashed
Where your journey begins and your potential shines

At Synpulse, we don’t just consult – we transform. As a leading global management and technology consultancy with Swiss roots, we empower financial institutions to navigate change and seize new opportunities. Since 1996, we've been shaping the future of financial services by delivering cutting‑edge expertise in strategy, operations, and technology to banks and insurers worldwide.

What sets us apart is our people. At Synpulse, we cultivate a collaborative, high‑impact culture where initiative and creativity are valued. With 21 offices across Europe, the Americas, and Asia‑Pacific, we bring together diverse perspectives and talents. We believe innovation thrives where everyone feels they belong and can contribute.

Our core values –
Embrace, Drive, Achieve – shape how we work and evolve. We don’t just offer jobs – we offer the chance to develop, make an impact, and be part of a team that’s redefining the future of financial services.

As a Manager within our Banking Management Consulting team, your role will be diverse and impactful, leveraging your expertise in:

• Leading and delivering data platform and data architecture advisory and implementation initiatives for banking and financial services clients.
• Assessing, designing, and modernizing enterprise data architectures, including Data Lake and Data Lakehouse patterns, and advising clients on platform choices across Databricks, Snowflake, and other cloud‑based data platforms.
• Applying sound data architecture and design principles — layered/medallion architectures, data zoning, ingestion patterns, and scalability and performance considerations — to client environments.
• Leading enterprise data modeling efforts, including conceptual, logical, and physical data models for banking and wealth management domains (accounts, clients, advisors, products, transactions).
• Applying data modeling techniques for tracking historical change, such as SCD Type 2 and Type 3, and guiding clients on when each pattern fits golden record, reporting, or analytical use cases.
• Designing and advising on Master Data Management (MDM) solutions — domain design, match and merge logic, survivorship rules, and golden record strategy — for entities such as Account, Advisor, Client, and Product.
• Understanding core banking products, processes, and operating models across retail banking, commercial banking, wealth management, and capital markets, and translating these into data architecture requirements.
• Leading consulting teams through the entire project lifecycle, from current‑state assessment and target architecture design through implementation and adoption.
• Collaborating with business, technology, and data teams to align platform, architecture, and modeling decisions with business and regulatory needs.
• Conducting hands‑on data analysis and writing SQL queries to profile source systems, validate data models, and support architecture and design recommendations with evidence.
• Supporting clients in developing Target Operating Models (TOMs) for data platform and architecture functions.
• Driving stakeholder engagement and executive‑level decision‑making on strategic data platform investments.

You will contribute to the firm’s growth initiatives by staying abreast of industry trends, emerging data platform technologies, AI and analytics enablement, and best practices in banking data architecture and management. You will actively share your knowledge and insights with colleagues and clients while helping expand Synpulse’s consulting capabilities in data and digital transformation.

• Bachelor’s degree required; an advanced degree and/or professional qualifications in data management, banking, technology, or business are considered an asset.
• You will bring 8+ years of Financial Services Consulting experience, including significant exposure to data platform, data architecture, or enterprise data transformation initiatives.
• You have a strong working understanding of modern data platforms, including Databricks and Snowflake (or comparable platforms), and how they support ingestion, curation, and…