Responsibilities and Duties
- Leadership & Strategy:
- Develop and execute the vision and roadmap for the company's data engineering, data science, BI, and IOT hardware and firmware management strategies in alignment with business objectives.
- Lead and mentor a high-performing team of engineers, data scientists, BI analysts, and hardware specialists.
- Provide thought leadership on emerging trends and technologies in data engineering, AI, and analytics, ensuring the organization remains at the forefront of innovation.
- Data Infrastructure:
- Architect and optimize the data infrastructure, ensuring scalable, high-performance solutions for data storage, ETL pipelines, and analytics.
- Oversee the design and implementation of the company's data warehouse, ensuring high availability, security, and reliability.
- Partner with the IT team to ensure the hardware infrastructure supports the performance needs of large-scale data operations.
- Data Science & Analytics:
- Lead the data science function to drive advanced analytics, machine learning, and AI initiatives.
- Develop models and algorithms that deliver actionable insights to key business stakeholders; collaborate with Product, Software Delivery to productize data analytics.
- Ensure that BI tools, dashboards, and reporting solutions meet the needs of various departments, driving data democratization and self-service analytics.
- Collaboration & Stakeholder Engagement:
- Partner with product, engineering, marketing, finance, and operations teams to identify data opportunities and integrate data-driven solutions into business processes.
- Communicate data strategies and results to senior leadership and other stakeholders, ensuring alignment on priorities and resource allocation.
- Governance & Compliance:
- Lead company-wide data governance initiatives, set policies, enforcement, and monitor success.
- Ensure data governance, security, and compliance with industry standards and regulations (e.g., GDPR, CCPA).
- Collaborate closely with IT Department, Cybersecurity, and related teams to comply with standards such as SOC2 or ISO 27001.
- Implement policies and procedures for data quality, data management, and security across the organization.
- Budget & Resource Management:
- Oversee the budget and resource allocation for the data engineering, BI, data science, and hardware teams.
- Ensure the efficient utilization of cloud platforms, hardware resources, and other technology investments.
Required Abilities and Skills
- Exceptional leadership, communication, and collaboration skills, with a track record of coaching and mentoring high-performing teams.
- Demonstrated ability to architect, build, and operate high-impact, large-scale technology initiatives. Specialty in B2B software and marketplace business models is preferred.
- Strong knowledge of cybersecurity and data privacy best practices.
- Proven success in driving digital transformation initiatives.
- Comfort working in an international setting and managing geographically distributed teams.
Education and Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field; MBA or advanced technical degree preferred.
- 15+ years of experience working in data engineering, data management, data science, or analytics roles, with at least 5 years in a senior leadership capacity.
- Proven experience managing a diverse set of technical functions, including hardware/firmware design and engineering of IOT devices.
- Strong expertise in modern data architectures, data warehouses (e.g., Databricks, Redshift), ETL/ELT pipelines, and cloud platforms (e.g. AWS Timestream).
- Proven experience leading large, cross-functional teams and managing complex data systems at scale.
- Deep understanding of data science, including machine learning, statistical modeling, and algorithm development.
- Expertise in BI tools, especially tooling that expands upon dashboarding frameworks (e.g., Tableau) and into AI-powered solutions that democratize data inquiries to be self-serve (e.g., Thoughtspot).
- A proven track record of delivering scalable data solutions that drive business growth and efficiency.
Travel
- 2-4 international work visits to India per year; quarterly travel domestically.
The Perks!
- Equity plan participation
- Company-subsidized benefits: medical, dental, vision, life insurance
- Flexible Spending Accounts: healthcare and dependent care
- 6% 401(k) match with immediate vesting
- Flexible Time Off
- Expected annual salary: $207,000 - $239,000
- Annual bonus 25%, subject to company and individual performance
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