Data Group Leader

About us

At Theranica, we are at the forefront of developing innovative, wearable treatments for migraine and other pain conditions, merging cutting-edge technology with patient-centered care. Our goal is to translate our technological and business knowledge in mobile digital solutions to the field of pain therapeutics.

We offer non-invasive, drug-free, personalized, and affordable wearable therapeutic products for the treatment of pain by integrating the latest neuroscience research with notable technological expertise.

Our collaborative and dynamic work environment fosters creativity and growth, encouraging our team to push the boundaries of medical science. By joining us, you'll be part of a passionate group dedicated to improving lives through pioneering health solutions.

Job Brief

We are seeking an experienced Data Group Leader to drive our data strategy, governance, analytics, and machine learning capabilities while managing a small, high-performing data team. This role will play a key part in building Theranica’s data infrastructure, delivering high-quality insights, and aligning data initiatives with business objectives, including commercial teams (Marketing, Sales, and Operations).

The ideal candidate has 7-10 years of experience in data-related roles, including at least 2 years of people management, and is capable of leading data-driven decision-making within budget and manpower constraints.

Roles and Responsibilities

Analytics, Business Insights & Machine Learning

• Lead the development of advanced analytics, predictive modeling, and AI-driven insights.
• Identify and implement machine learning models that enhance business performance and operational efficiency.
• Partner with Marketing, Sales, and Operations to develop data-driven customer insights, campaign performance tracking, and demand forecasting.
• Drive adoption of data visualization tools (e.g., Tableau, Power BI) to enhance accessibility and understanding.
• Advocate for and implement MLOps best practices for model deployment, automation, and monitoring.

Data Architecture & Infrastructure

• Oversee the design, implementation, and maintenance of a scalable and efficient data infrastructure.
• Work closely with IT and engineering teams to ensure a robust data architecture that supports analytics and ML needs.
• Manage data pipelines, ETL processes, and cloud-based solutions (AWS, Azure, GCP).

Data Strategy & Governance

• Develop and execute a comprehensive data strategy aligned with business goals.
• Establish and enforce data governance policies to maintain data accuracy, integrity, and security.
• Ensure compliance with industry regulations (e.g., GDPR, HIPAA) and data privacy standards.

Team Leadership & Collaboration

• Manage and mentor a small team of data professionals, fostering a culture of innovation, collaboration, and continuous improvement.
• Ensure effective resource allocation within budget and manpower constraints, aligning with company needs and priorities.
• Act as a liaison between technical and non-technical teams, ensuring data solutions effectively address business needs.
• Work cross-functionally with commercial teams (Marketing, Sales, Operations), IT, and executive leadership to align data initiatives with organizational objectives.

Qualifications & Requirements

Must Have

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 7-10 years of experience in data-related roles, including at least 2+ years managing a team.
• Strong expertise in data governance, data architecture, and analytics.
• Proficiency in Python, R, SQL, and experience with data visualization tools (Tableau, Power BI).
• Experience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS, Azure, GCP).
• Strong communication skills, with the ability to translate technical insights into actionable business recommendations.
• Ability to prioritize projects within budget and resource limitations.
• Fluent in English and Hebrew

Nice to Have

• Experience with machine learning, AI, or advanced analytics.
• Familiarity with industry-specific regulations and compliance standards.
• Previous experience in driving cultural shifts towards data-driven decision-making.

Work environment

• Hybrid (on-site in Netanya, Israel, with remote flexibility).