Responsibilities

• Responsible for designing, developing, and managing delivery of our data platform and architecture.
• Own and lead all data platform initiatives – Data Lake Strategy & Governance, Data Engineering and Platform development, Business Analytics, Reporting & Insights, Data Science, and ML/AI models.
• Recruit and lead a highly talented data platform organization with engineering leads, architects, Data Engineering and Business Analytics teams with multiple development streams and objectives.
• Lead multiple transformation initiatives, drive strategy, and foster innovation.
• Provide strategic oversight and implementation approaches for data management aligning with strategic business goals and roadmaps.
• Lead data roadmap and model discussions and development with product managers, architects and other engineering teams.
• Provide data subject matter expertise to business and development groups.
• Evaluate new data management technologies and consistently generate new ideas.
• Stay up to date with industry trends and bring industry knowledge while exemplifying a transformational mindset.

Who You Are

• Strong analytical, strategic thinking and communication skills with the ability to synthesize, develop and present clear and concise recommendations.
• Strong leadership skills including individual leadership, change leadership, mentorship, motivation, coaching and development, and the ability to galvanize support.
• Highly detail-oriented, deadline-driven, and able to embrace change for a fast-growing organization.
• Ability to communicate a compelling vision and inspire others to deliver on an ambitious and complex roadmap.
• Possess uncompromising ethics and unwavering integrity.
• Champion of high standards, pushes for progress, embraces change, and challenges the status quo.

· Entrepreneurial mindset and driven to make an impact.

Desired Skills and Experience:

• 10+ years of experience with 2+ years leadership experience, including experience leading dataengineering and data analytics.
• Experience with cloud-based video surveillance, access control, IoT, AI-driven analytics.
• Track record of successfully recruiting, developing and retaining top talent from leading organizations.
• Comprehensive knowledge of data platform architecture, data modeling, database optimization, data management practices and processes.
• Experienced or conversant in cloud data offerings (especially AWS and Azure), data lake technologies, columnar and NoSQL databases, predictive analytics, data visualization, unstructured data, ETL/data integration, AI/ML, NLP.
• Strong understanding of agile software development principles.

· Bachelor’s degree in Computer Science, Data Science or equivalent. Master’s degree preferred.