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Head of Data Products

ABOUT NAVIXY

Navixy (by SquareGPS) is a leading IoT and telematics platform provider, empowering businesses with real-time visibility into their vehicles, cargoes and operations. Our solutions span global fleet tracking, smart logistics, advanced geospatial analytics, and more. We harness data from sensors, GPS devices, and machine telemetry to deliver actionable insights that optimize efficiency and drive innovation.

We are on a mission to revolutionize how businesses leverage IoT data – turning raw streams of geospatial and time-series information into predictive intelligence and AI-driven decision-making. Join us to reshape industries and define new standards in data and analytics.

 

ROLE OVERVIEW

As Head of Data Products, you will spearhead Navixy’s data strategy, overseeing a passionate team of data scientists, engineers, and analysts. Your primary goal is to build, scale, and maintain modern data products – ranging from real-time analytics platforms to advanced predictive models – that fuel our suite of IoT and telematics solutions. You’ll bridge the gap between product vision and technological prowess, ensuring data-driven insights are at the heart of every decision.

 

KEY RESPONSIBILITIES

Data product leadership and vision

  • Architect AI and analytics solutions: Develop and refine inference models and predictive algorithms for Navixy’s IoT and telematics platforms, focusing on geospatial, time-series, and sensor data.
  • Launch innovative data tools: Build BI dashboards, interactive reports, and AI conversational analytics for various fleet and business use cases.
  • Collaborate cross-functionally: Partner with product managers, technical teams, and stakeholders to define roadmaps, translate business needs, and deliver impactful data-driven solutions.

Implementing modern data stack

  • Data pipelines & orchestration: Use tools like Apache Airflow for workflow management and Databricks for large-scale data processing, exploration, and ML integration.
  • Analytics and warehousing: Utilize Superset for rich data visualization, Trino for distributed SQL query processing, and columnar databases for efficient analytics.
  • Real-time and batch processing: Design and implement robust ETL/ELT data pipelines, ensuring high throughput, reliability, and scalability.
  • Advanced ML/AI: Integrate frameworks like TensorFlow, PyTorch, and scikit-learn into Navixy’s ecosystem for anomaly detection, time-series forecasting, and event prediction.

Strategy and thought leadership

  • Shape research initiatives: Drive advanced analytics use cases such as anomaly detection, predictive maintenance, route optimization, and cost forecasting
  • Influence stakeholders: Communicate data product vision and progress to executives, clients, and partners. Advocate for data-centric decision-making at all levels of the organization.
  • Stay ahead of tech trends: Continuously evaluate emerging tools and technologies, shaping Navixy’s long-term data product roadmap in AI and analytics.

Operational excellence

  • Data reliability and scalability: Establish best practices for data architecture, modeling, branching, and schema design. Ensure systems remain robust under high-volume IoT data ingestion.
  • Performance monitoring: Implement monitoring, alerting, and logging to maintain optimal model performance and pipeline uptime.
  • Continuous Improvement: Foster agile methodologies, code reviews, and experimentation to keep evolving Navixy’s data capabilities.

Team leadership and culture

  • Mentorship and growth: Lead, coach, and inspire a multi-disciplinary team of data professionals. Encourage knowledge sharing and experimentation.
  • Talent acquisition: Support recruiting efforts by identifying and hiring top-tier data engineers, scientists, and analysts.
  • Innovation mindset: Foster a culture of collaboration, curiosity, and excellence — where ideas flourish and breakthroughs happen regularly.

 

WHAT YOU’LL BRING

  • Academic background: BS/MS in Computer Science, Data Science, Engineering, or related field. Advanced degrees (PhD, MBA) are a plus.
  • Proven proficiency in Python, SQL, and object-oriented programming
  • Hands-on experience with TensorFlow, PyTorch, scikit-learn, or equivalent ML frameworks
  • Familiarity with Apache Airflow, Databricks, Spark, BigQuery, or similar distributed/cloud technologies
  • Strong knowledge of supervised and unsupervised ML techniques, geospatial analytics, and time-series modeling
  • Mastery in designing and managing modern data architectures, from data lakes to warehouses
  • Track record of leading cross-functional teams and successfully managing complex data projects
  • Exceptional communication skills in both Russian and English, capable of aligning technical and non-technical stakeholders
  • Visionary thinking, problem-solver, collaborative, mentor at heart

 

WHY JOIN NAVIXY

  • Pioneer in IoT and Telematics: Work with cutting-edge technology in geospatial and sensor data, directly impacting logistics, automotive, and many other industries
  • Innovation-driven culture: Collaborate with passionate experts where your ideas and experimentation are valued
  • Flexible work environment: Enjoy remote or hybrid work arrangements, ensuring a healthy work-life balance
  • Global impact: Shape the future of data analytics, AI, and IoT solutions for clients worldwide
  • Growth and development: Access continuous learning opportunities and a supportive environment that fosters your professional evolution

 

WHAT WE OFFER

  • Location: Belgrade, Serbia.
  • Conditions: Hybrid work format with a 40-hour workweek (meeting in a coworking space once a week).
  • Employment: Contract-based.
  • Development: Opportunities for workshops, conferences, professional courses, and corporate English classes.
  • Well-being: Access to psychological support service through “Yasno.”
  • Transparency and Growth: A culture of open feedback, with vertical and horizontal growth opportunities.
  • Impact and Openness: Opportunity to see the results of your work, receiving timely feedback from the team, Lead, and HR.
  • Corporate Culture: Online and offline events, team-building, experience exchange, and a young, vibrant team of professionals

Send your CV to: [email protected]