Managing Principal – Data & Technology Transformation

About the role

Capco is looking for a Managing Principal in its Technology & Engineering practice to lead enterprise-scale data and technology transformation for leading financial services clients. The role combines a strong technical foundation with strategic consulting expertise and executive-level delivery leadership, working closely with CIOs, CTOs, CDOs and senior business leaders. It is based in the Northern Virginia office five days a week.

Key responsibilities

• Shape and deliver large-scale data and technology transformation programs covering data modernization, cloud platforms, data engineering, governance, analytics and enterprise integration.
• Evaluate architectural approaches, manage implementation risks and turn complex technology decisions into clear business outcomes.
• Advise CIOs, CTOs, CDOs and senior leadership on strategic investment decisions and transformation priorities.
• Lead multidisciplinary consulting and technology teams, set governance and hold them accountable for milestones and business value.
• Lead major consulting engagements, contribute to proposals and executive presentations, and mentor teams to grow Capco's technology consulting capabilities.

Required profile

• Significant experience across data, technology, consulting and enterprise transformation, typically 12+ years of relevant professional experience.
• Earlier hands-on experience in data engineering, data architecture, data management, analytics, business intelligence, software engineering or related fields, progressing to strategic consulting or transformation leadership.
• Practical understanding of modern data ecosystems, including ETL/ELT, data pipelines, cloud data platforms, data warehousing, data modeling, governance and systems integration.
• Demonstrated experience advising senior executives, influencing strategic decisions and building trusted client relationships.
• Experience guiding cross-functional teams and delivering measurable business outcomes.

Required skills

• Bonus points for experience in banking, capital markets, wealth management, payments or other financial services.
• Bonus points for familiarity with Snowflake, Databricks, Informatica, SQL, Python, AWS, Microsoft Azure, Google Cloud and modern data integration frameworks.
• Bonus points for knowledge of enterprise data architecture, master data management, metadata, lineage, data quality and governance frameworks.
• Bonus points for AI initiatives (Generative AI, machine learning, advanced analytics).

What we offer

• Pay range of $180,000-$225,000 USD.
• Medical, dental and vision coverage, 401(k) matching, maternity and paternity leave, and dependent care benefits.
• HSA and FSA options, tuition reimbursement, wellness reimbursement and commuter benefits.
• Continuous learning, training and industry certifications.