Vice President Engineering

Vice President of DATA ENGINEERING

Leads and manages a team of data science professionals, collaborating with stakeholders and the practice lead on data-based initiatives.

• Provide vision and direction for the data science team, collaborating with cross-functional stakeholders to identify and prioritize data-driven opportunities that align with the company's goals.
• Develop and execute the data science roadmap, ensuring the application of advanced analytics, machine learning, and artificial intelligence techniques to extract valuable insights from complex and diverse data sets.
• Establish and maintain industry-leading practices for data governance, data quality, and data privacy.
• Promote a data-driven culture within the organization, fostering collaboration and innovation, and leveraging data to create competitive differentiation and drive business growth.
• Collaborate with the Data Science Practice lead regarding initiatives that require more resource-intensive modeling and automation.

• Champion a culture of trust, collaboration, and open communication, ensuring every team member feels valued and empowered to contribute ideas and feedback.
• Strategic mindset with the ability to translate organizational goals into actionable team development plans.
• Excellent communication and interpersonal skills, able to bridge technical and business perspectives and inspire cross‑functional collaboration.
• Strong mentoring and coaching skills, with a track record of developing talent and supporting career trajectories.
• Proven ability to build, grow, and retain high‑performing teams in a data science or technical environment.
• Regularly assess team structure, skills, and engagement, adapting strategies to meet evolving business needs and individual aspirations.
• Encourage curiosity, experimentation, and continuous learning in the team and across the IT organization.

• Excellent leadership skills to inspire and motivate a team, set strategic goals, allocate resources effectively, and ensure the successful execution of data science projects.
• Experience in managing and mentoring data science professionals is essential.
• Solid understanding of the business goals, objectives, and challenges of the organization.
• Ability to translate data-driven insights into actionable recommendations and strategies that align with the company's overall vision.
• Business acumen to make informed decisions, prioritize projects, and communicate effectively with stakeholders at all levels.
• Staying updated on the latest trends and advancements in data science and analytics, exploring new technologies, and assessing their potential impact on the organization's goals.

Bachelor's Degree, First Degree, Trade/Vocational School certificate or Equivalent required. Degree in Data Science or Engineering discipline preferred.

• Executive

• Full‑time

• Engineering, Business Development, and Customer Service

• Data Infrastructure and Analytics