A Data Science and Operations Research (DSOR) Enablement III is an experienced role focused on contributing to the integration of advanced analytics and operations research methodologies within the organization.

They assist in optimizing business processes and decision-making by working with cross functional teams to identify and implement data-driven solutions that align with organizational objectives.

With a good grasp of both business operations and technical methodologies, they offer support and share technical expertise with DSOR practitioners, aiding in the delivery of useful insights and solutions.

They help to communicate DSOR initiatives effectively, ensuring that their contributions are aligned with value-driven outcomes.

This role requires familiarity with data science and operations research alongside business understanding to promote innovation and improvement within the enterprise, while staying aware of current advancements and aiding in the organization's strategy to utilize these capabilities effectively.

Job Description / Responsibilities:

- Assist in the development and implementation of the DSOR Enablement function, contributing to its strategic initiatives.

- Support DSOR initiatives by promoting data-driven solutions that enhance business processes.

- Provide support and assist in setting priorities for DSOR projects, ensuring effective execution from hypothesis to deliverable.

- Collaborate with cross-functional teams, fostering a culture of curiosity, experimentation, and continuous improvement.

- Support the design of user-centric products that align with business goals, enhancing decision-making.

- Clearly communicate DSOR concepts to stakeholders, supporting alignment with enterprise objectives.

- Monitor project progress and support accountability for project milestones, contributing to impactful solutions.

- Assist in the development and dissemination of best practices for the DSOR discipline.

Skills / Abilities:

- Leadership and mentorship abilities within a team.

- Good project management skills and the ability to support a portfolio of projects.

- Strong analytical, organizational, and problem-solving skills.

- Proficiency with data science and operations research tools and methodologies.

- Leadership skills to support strategy and motivate team members.

- Strong verbal and written communication skills, adaptable to various audiences.

- Effective decision-making skills, able to support project decisions.

- Facilitation skills, able to guide group discussions and gather feedback.

- Understanding of Agile, scrum, or other software development methodologies.

- Familiarity with program and/or product management disciplines.

Supervisory Requirements:

Will this position manage other employees, if so what position[s] - No

MINIMUM EDUCATION:

- Bachelor's degree or equivalent in Data Science, Operations Research, Engineering, Business Administration, Business Analytics, or related discipline. [Advanced degree preferred. ]

MINIMUM EXPERIENCE:

Three to four (3 - 4) years of experience in working with teams in analytics, data science, operations research, engineering or a related field, with demonstrated leadership in managing teams and executing complex projects.

- Practitioner or practitioner-adjacent experience in analytics, data science, operations research, or a related fields inclusive of prototyping and rapid experimentation