SVP Engineering
New York, New York County, New York, 10261, USA
Listed on 2026-01-09
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IT/Tech
Data Engineer, AI Engineer, Data Science Manager
SVP of Engineering (AI & Emerging Technologies)
Full-time - New York - 1 day a week in the office
Telmar Helixa:
Where AI Meets Audience Insight and Media Planning Intelligence
At Telmar Helixa, we don’t just analyze data—we unlock the potential behind it. We're the fusion of Telmar, a pioneer in global insights and media planning, and Helixa, a cutting‑edge AI platform that turns billions of digital signals into real, actionable audience intelligence.
We empower brands, agencies, and media platforms globally to discover, understand, and reach the people who matter most—through an integrated platform that combines traditional research, psychographics, social behavior, and media strategy.
Why Work With Us?- 🔍 Tech with
Purpose:
AI and next‑gen data tools to uncover deep audience insights that fuels analysis, research and planning globally. - 🌐 Global Impact:
Influence marketing and media decisions for world‑renowned brands and media agencies. - 🧠 Smart, Driven Team:
Work alongside thinkers, builders, and data storytellers who are redefining what data intelligence looks like. - ⚡ Fast‑Paced Innovation:
We're agile, future‑focused, and constantly evolving—just like the audiences we analyze.
We’re seeking an SVP of Engineering who combines deep technical expertise with the vision and clarity to scale complex systems with purpose and precision. You lead with empathy, structure, and urgency, enabling teams to deliver robust, scalable solutions and are ultimately responsible for spearheading end‑to‑end transformation to deliver revenue growth.
You will be responsible for overseeing the development and implementation of the technical strategy and managing engineering leads and their teams to ensure projects are completed on time and within budget. This predominantly remote position offers a unique opportunity to shape the future innovation of our Engineering operations. You will possess excellent management skills and thrive leading and working with the data, models and development teams.
The SVP of Engineering will work closely with the Leadership team and other senior leaders to drive the company's engineering strategy and performance.
You have a deep and proven understanding of data product technologies, including databases, data analytics, machine learning, and cloud computing. You drive informed decisions and guide the team effectively. You make strategic decisions regarding the architecture, tools, services, and frameworks used in the end‑to‑end product development process. This includes:
Understanding various types of databases (SQL, No
SQL), 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. Understanding interpreting data, generating insights, and storytelling with elegant UX.
Proven knowledge of machine learning algorithms, frameworks, and AI technologies. Guide the development of predictive models and intelligent systems.
Expert in cloud platforms (AWS) and their data services is critical. Knowledge of cloud storage, data processing, and cloud‑native architectures.
Awareness of data governance principles, data privacy laws, and security best practices. Ensures that data is managed responsibly and securely.
The tech landscape is always evolving, so a good leader stays updated with the latest trends, tools, and technologies. Might involve attending conferences, participating in online courses, or engaging with professional communities.
- Strategic Planning:
Build and deliver the technology roadmap aligned with our strategic priorities and business vision. - Project Oversight:
Ensuring successful delivery of products by overseeing timelines and resource allocation. Lead the engineering organization, promoting a culture of innovation, collaboration, and continuous improvement. - Risk Management:
Identifying and mitigating technical risks to ensure the…
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