Senior Consultant-Data Risk Management

Financial Services Data And AI Transformation Product Owner

In this role you help clients in financial services transform risk and regulatory challenges into defensible, value-adding actions using data, AI, and modern analytics. You will work on multi-disciplinary teams to deliver data-driven solutions, own initiatives as a product owner, and mentor junior colleagues. You'll drive data governance, AI readiness, and scalable tooling to accelerate client outcomes. This position offers meaningful impact through shaping AI-enabled data programs in a leading professional services firm.

Responsibilities

• Contribute to multi-disciplinary client engagements delivering high-quality data and analytics work
• Act as product owner to translate business needs into actionable plans for AI and data engineering teams
• Mentor and guide junior team members to develop skills and deliverables
• Drive modernization of business and technology processes to support client objectives
• Collaborate with business, data, and technology teams to capture requirements for large-scale data and AI initiatives
• Lead data discovery, metadata curation, data lineage, and data governance foundations
• Assess data readiness for AI consumption and develop ontology components (entities, relationships, taxonomies)
• Design and build AI-powered agents, accelerators, and reusable tooling to improve delivery
• Perform technical analysis, develop data pipelines, and participate in technical reviews
• Prepare client-ready deliverables and present findings to stakeholders

Key requirements

• Bachelor's degree in a relevant field
• 4+ years in data analysis, data architecture, data management, or data engineering
• 2+ years in financial services experience (investment management or insurance)
• Proficiency with data management/tools (Collibra, Alation, Informatica, Atlan, Anomalo, Attacama)
• Experience with AI-first development & modern data engineering tools (Cursor, GitHub Copilot, Claude Code, dbt, Airflow, Git/GitHub)
• Proficiency in Python and R for predictive analytics; data visualization with Tableau or PowerBI
• Experience with data warehousing: Redshift, BigQuery, Databricks, Snowflake
• Programming: Python, SQL, Java, Scala
• Knowledge of data modernization, data governance, AI readiness, ontologies
• Strong communication to present complex tech to diverse stakeholders
• Ability to travel up to 50%
• Limited immigration sponsorship may be available

• Independent worker with collaborative mindset
• Strong written and verbal communication
• Relationship-building and stakeholder management
• Data governance and metadata management
• Data discovery and lineage mapping
• Ontology design (entities, relationships, taxonomies)