JOB SUMMARY

The Business Process Transformation Owner role has a strong focus on leveraging technology, artificial intelligence (AI), machine learning (ML), predictive analytics, and data analytics to enhance organizational efficiency and decision-making. This position will be responsible for the optimizination of the process, identifying opportunities for automation, and implementing cutting-edge technologies to drive continuous improvement initiatives. This role will be in charge of translate the data insights and predictive models into actionable business strategies, fostering a culture of innovation and efficiency.

QUALIFICATION REQUIREMENTS

Minimum Education: Requires a level of knowledge normally gained through completion of an undergraduate degree

Minimum Experience: 10 years experience.

• Experience with cloud-based analytics and ML platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with AI/ML frameworks and predictive analytics libraries.

Licenses/Certifcates: N/A

KNOWLEDGE, SKILLS AND ABILITIES

• Proven experience in a continuous improvement role, with a strong focus on technology, AI, ML, predictive analytics, and data analytics.
• Demonstrated experience in leading projects that involve process automation, AI/ML implementation, predictive modeling, and data-driven decision-making.
• Proficiency in data analysis tools (e.g., SQL, Python, R), AI/ML platforms, predictive analytics tools, and continuous improvement methodologies (e.g., Lean, Six Sigma).
• Excellent problem-solving skills with the ability to think strategically and translate data and predictive insights into actionable business strategies.
• Strong project management skills, with experience in leading cross-functional teams.
• Exceptional communication skills, both written and verbal, with the ability to influence stakeholders at all levels.
• Experience with change management and training related to new technology and predictive model adoption.

PHYSICAL REQUIREMENTS

Represents the appropriate physical requirements of the job in the course of the work.
For employment within the United States, the W.C. Bradley Co. uses E-Verify to confirm the employment eligibility of all newly hired team members. To learn more about E-Verify, including your rights and responsibilities, please visit the U.S. Citizen and Immigration Service at www.uscis.gov/e-verify.

o Develops and implements continuous improvement strategies that utilize technology, AI, ML, predictive analytics, and data to enhance operational processes across the organization.
o Identifies areas of opportunity within existing processes and systems, recommending and executing improvements that drive efficiency, reduce costs, and increase predictive accuracy.
o Evaluates, recommend, and implement new technologies, AI solutions, machine learning models, and predictive analytics tools that can automate and optimize business processes.
o Collaborates with IT, data science, and analytics teams to ensure seamless integration of new technologies and models into existing systems.
o Leverages data analytics, machine learning, and predictive modeling to identify trends, patterns, and opportunities for improvement in business processes.
o Develops and maintain dashboards, reports, and predictive models that provide key insights to stakeholders, enabling informed and forward-looking decision-making.
o Leads cross-functional teams on continuous improvement projects, ensuring that initiatives are completed on time, within scope, and deliver measurable benefits.
o Utilizes project management methodologies to track progress, manage risks, and ensure successful implementation of improvements
o Trains and mentor team members on the use of new technologies, AI/ML tools, predictive analytics, and data-driven approaches to foster a culture of continuous improvement.
o Develops training materials and resources to support the adoption of new processes, technologies, and predictive models.
o Establishes key performance indicators (KPIs) to measure the success of continuous improvement initiatives and predictive models.
o Monitors and report on the impact of technology-driven and predictive improvements, ensuring alignment with organizational goals.