94 applicants

Company

ZenBusiness · 1 day ago

Director, Engineering - Data

United States

Full-time

Remote

Director/Executive

10+ years exp

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Business DevelopmentBusiness Information Systems

Hiring Manager

Jaenn Jo

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Responsibilities

• Strategic Leadership: Develop and execute a comprehensive data strategy aligned with company goals, driving data-driven decision-making across the organization and delivering data products and services to our internal stakeholders and customers.

• Agile Team Management: Manage agile pods comprising data analysts and other data team resources such as data engineers, platform engineers, data scientists, and machine learning engineers, ensuring collaborative and efficient delivery of analytics solutions.

• Center of Excellence in Engineering: Build an engineering-focused organization in the data space, balancing performance, scalability, maintainability, and cost.

• Cross-Functional Analytics Expertise: Gain a deep understanding of the analytics needs of each cross-functional team—including Finance, Customer Success, Sales, Product, Engineering, and Marketing—and provide tailored data solutions that address their specific challenges and objectives.

• Team Leadership: Lead, mentor, and inspire a team of data professionals, fostering a culture of collaboration, innovation, and continuous development.

• Technical Oversight: Oversee the architecture, development, and deployment of scalable, reliable, and secure data and AI platforms and solutions, utilizing modern data architecture and cloud-based databases like Snowflake.

• Cross-Functional Collaboration: Partner with executive leadership and all cross-functional teams to integrate analytics insights into business strategies and operations.

• Data Governance: Establish and maintain data governance frameworks to ensure data quality, integrity, and compliance with relevant regulations.

• Performance Optimization: Continuously enhance data systems and processes to improve efficiency, scalability, and performance.

• Innovation and Adoption: Stay abreast of industry trends and emerging technologies in analytics and data science, promoting the adoption of innovative solutions, including AI and machine learning.

• Stakeholder Communication: Collaborate with other engineering teams to integrate and deliver data and AI features into products and internal tools.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data StrategyData EngineeringAIMachine LearningData GovernanceCloud-based DatabasesAdvanced AnalyticsData VisualizationAgile MethodologiesTechnical ProficiencyModern Data Architecture

Required

Bachelor's degree in Business, Statistics, Computer Science, or a related field; a Master's degree or MBA is highly preferred.

10+ years of experience in analytics or data engineering, with at least 5 years in a leadership role directing high-performing teams.

Proven track record of developing and executing data strategies that drive business growth and competitive advantage.

Experience managing agile teams or pods comprising data analysts, data engineers, platform engineers, data scientists, and machine learning engineers.

Broad understanding of the analytics needs of various cross-functional teams and the ability to develop solutions that meet those needs.

Exceptional leadership and communication skills, with experience influencing executive stakeholders and driving organizational change.

Deep expertise in advanced analytics techniques, data modeling, and data visualization tools.

Strong knowledge of modern data architecture and familiarity with cloud-based database solutions like Snowflake.

Experience with AI and machine learning applications in analytics.

Strong understanding of emerging GenAI technologies, with production experience.

Strong understanding of data governance, compliance, and security best practices.

Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.