A leading consulting organization is seeking a Director-level professional to help clients strengthen data reliability, governance, and risk management frameworks. This individual will partner with business and technology stakeholders to assess data quality, evaluate control effectiveness, and deliver analytical solutions that improve decision-making across highly regulated environments.

The role requires a combination of data expertise, risk management experience, and client-facing leadership. The successful candidate will oversee complex engagements, manage senior stakeholder relationships, and guide multidisciplinary teams through large-scale data validation and risk assessment initiatives.

• Lead enterprise data risk and validation engagements for clients operating in complex regulatory environments.
• Design and execute data quality assessments, control testing programs, and validation frameworks.
• Evaluate the integrity, completeness, and accuracy of large datasets used in key business processes and regulatory reporting.
• Develop analytical solutions that identify control weaknesses, process inefficiencies, and data-related risks.
• Present findings and recommendations to executive leadership and business stakeholders.
• Direct multiple concurrent projects while ensuring quality, timeliness, and client satisfaction.
• Collaborate with data, technology, compliance, risk, and governance teams to implement sustainable solutions.
• Drive the adoption of advanced analytics, automation, and emerging technologies to enhance risk management capabilities.
• Support business development efforts by identifying opportunities and contributing to proposal and solution development.
• Mentor and develop junior team members while helping establish best practices across the broader organization.

• Bachelor's degree required; advanced degree preferred.
• 9+ years of experience in data analytics, data governance, risk management, consulting, or related fields.
• Experience evaluating data quality, data controls, data lineage, reconciliation processes, or regulatory reporting environments.
• Strong understanding of risk management, governance, and control frameworks.
• Proficiency with SQL and data analytics tools.
• Experience leveraging technologies such as Python, Power BI, Databricks, cloud platforms, or statistical analysis tools.
• Ability to communicate technical concepts to senior executives and non-technical audiences.
• Proven experience managing teams, client relationships, and complex programs.