A senior leadership opportunity is available for a Director, Technology Process Innovation within the Support Ops division of Kroll Business Services. Kroll is the premier global provider of services and digital products related to governance, risk, and transparency. This role’s primary focus is on driving innovation and efficiency by optimizing data engineering processes and ensuring seamless, technology-enhanced client service support.

This is a full-time, remote position in the U.S.

Role Summary and Innovation Mandate

This Director will act as a critical “change agent,” bridging technology, data, and client service to ensure Kroll’s solutions are state-of-the-art, efficient, and client-centric. Success hinges on strategic execution and leading digital transformation initiatives in the data space.

Key Responsibilities

• Strategy & Execution: Develop and execute a comprehensive process innovation strategy for the Technology department, aligning it with overall business objectives.
• Data Engineering Leadership: Lead efforts to establish and maintain state-of-the-art data engineering practices (data collection, storage, processing, and analysis) to directly support client service initiatives.
• Optimization & Automation: Assess the current technology landscape, specifically identifying opportunities for automation, optimization, and digital transformation across processes and workflows.
• Client Service Technology: Oversee the development and maintenance of technology solutions that directly enhance client service delivery, ensuring the technology stack exceeds client expectations.
• Change Management: Act as a change agent, collaborating closely with data scientists, engineers, and client service teams to drive the adoption of new processes, tools, and technologies.
• Metrics: Establish and monitor Key Performance Indicators (KPIs) to measure the effectiveness and impact of innovation initiatives.

Required Experience and Technical Qualifications

The ideal candidate is an experienced, technically proficient leader in data engineering with a track record of driving large-scale process improvements and organizational change.

• Experience: 10+ years of proven experience in data engineering, with a track record of leadership and team management.
• Data Expertise: Strong understanding of data management, data analysis, and data architecture.
• Tool Proficiency: Proficiency with data engineering tools and technologies (e.g., Apache Spark, Hadoop, SQL, data integration platforms).
• Education: Bachelor’s or Master’s degree in computer science, data engineering, or a related field.
• Skills: Strategic thinking, problem-solving skills, and excellent communication abilities for collaboration with cross-functional teams.
• Knowledge: Knowledge of data privacy and security best practices.
• Preferred: Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus.