Executive Director - Process Improvement Director, Data Mining

Description

Join a team at the forefront of bank-wide transformation. You’ll serve as a strategic advisor to leadership, translating complex operational and business challenges into analytics-driven roadmaps, measurable outcomes, and clear executive narratives that drive alignment across multiple business units.

As an Executive Director - Process Improvement Director, Data Mining & Simulation, you will lead a team of professionals responsible for delivering complex, high-impact strategic projects across the bank. This role will drive advanced analytics, simulation modeling, and data-driven decision-making to support CCB's business transformation and innovation agenda. The scope of data mining includes process mining and task mining, enabling deep insights into operational workflows and task-level activities. A core focus of the role is accelerating decision-making with AI-enabled analytics, to improve the speed, accuracy, and scalability of insights and enable sustained business transformation.

Job responsibilities:

Lead, mentor, and develop a team of data mining and simulation specialists, fostering a collaborative, high-performance culture

Oversee the design and delivery of complex data mining and simulation engagements—including process mining and task mining—in support of strategic initiatives across multiple business units

Lead adoption and integration of AI to accelerate analysis, improve accuracy, and scale insights for measurable business impact

Manage process improvement initiatives using advanced analytics to identify operational inefficiencies, and deliver impactful recommendations

Establish best practices, standards, and methodologies for process/task mining, simulation, analytics, and AI within the consulting group

Develop deep, trust-based advisory relationships with key client stakeholders and senior leaders, ensuring satisfaction and value throughout engagements

Use executive-level storytelling to communicate complex strategies and change recommendations to diverse stakeholders, influencing decisions and driving understanding

Required qualifications, capabilities, and skills:

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field

Deep experience in data mining (including process mining and task mining), simulation modeling, advanced analytics, and AI, preferably within financial services or consulting

Proven people leadership and complex project delivery experience, including leading cross-functional teams and building a culture of continuous improvement and innovation

Strong proficiency in analytics platforms (e.g. Snowflake, Alteryx), simulation tools, AI coding assistants (e.g. Claude Code, GitHub CoPilot), and programming languages (e.g., SQL, Python)

Demonstrated ability to translate business needs into technical solutions and actionable insights

Strong communication and stakeholder management skills, including advanced conflict management and a track record of resolving complex organizational conflicts and driving alignment