TelmarHelixa is seeking an SVP of Engineering to spearhead the end-to-end transformation of their engineering operations, driving revenue growth through the development and implementation of technical strategy for AI and emerging technologies.
Requirements
- Deep and proven understanding of data product technologies, including databases, data analytics, machine learning, and cloud computing
- Understanding various types of databases (SQL, NoSQL), data warehousing solutions, data lakes, and big data technologies. Familiarity with data integration tools and ETL (Extract, Transform, Load) / ELT, are important.
- Proficiency in data tools and visualization platforms.
- Proven knowledge of machine learning algorithms, frameworks, and AI technologies.
- Expert in cloud platforms (AWS) and their data services is critical. This includes knowledge of cloud storage, data processing, and cloud-native architectures.
- Awareness of data governance principles, data privacy laws and security best practices.
- Have expert software engineering expertise in Java, Python and AWS.
Responsibilities
- Overseeing the development and implementation of the technical strategy
- Managing engineering leads and their teams to ensure projects are completed on time and within budget
- Spearheading end to end transformation to deliver revenue growth
- Drive informed decisions and guide the team effectively
- Make strategic decisions regarding the architecture, tools, services and frameworks used in the end to end product development process
- Build and deliver the technology roadmap aligned with our strategic priorities and business vision
- Ensuring successful delivery of products by overseeing timelines and resource allocation
Other
- Lead with empathy, structure, and urgency
- Excellent management skills and thrive leading and working with the data, models and development teams
- Work closely with the Leadership team and other senior leaders to drive the company's engineering strategy and performance
- 10+ years of experience in data tech and product development leadership roles, with a focus on data products, data analytics and adtech platforms.
- Deep understanding of SaaS B2B products and the technical and organizational complexities they entail.
