Vice President Engineering

IQOR HOLDINGS US LLC; Westlake Village (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading analytics firm in California is seeking a Vice President of Data Engineering to lead and manage a high-performing data science team. This role requires a strong leader who will develop the data science roadmap and implement advanced analytics strategies. Candidates should have a Bachelor's degree in Data Science or Engineering and extensive experience in guiding data science professionals, as well as a passion for fostering a data-driven culture across the organization.

Qualifications

• Bachelor's Degree or equivalent required; Data Science or Engineering preferred.
• Experience in driving data science initiatives and mentoring teams.

Responsibilities

• Lead the data science team to align projects with company goals.
• Develop strategies for implementing advanced analytics and machine learning.
• Promote a data-driven culture within the organization.

Skills

Leadership skills

Experience in managing and mentoring data science professionals

Ability to translate data-driven insights

Business acumen

Knowledge of data science trends

Education

Bachelor's Degree in Data Science or Engineering

Job description

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.

Responsibilities

• 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.

Team Responsibilities

• 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.

Skills Requirements

• 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.

Education Requirements

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

Seniority Level

• Executive

Employment Type

• Full‑time

Job Function

• Engineering, Business Development, and Customer Service

Industries

• Data Infrastructure and Analytics