Data Strategy Product Manager – Protect Product Division
Belgrade
Telesign
APIs Delivering Global Verification and Programmable Communications as a service. SMS, Voice, and phone number intelligence solutions. Get started now.Summary
As a Data Strategy Product Manager, you will be responsible for defining, leading, and executing the company-wide data strategy to unlock business value, improve product capabilities, and drive data-driven decision-making. Working at the intersection of product, data engineering, analytics, and compliance, you will develop a data product roadmap that enhances operational efficiency, product innovation, and market competitiveness.
This is a highly collaborative, strategic role for a hands-on product leader who understands both the business potential of data and the operational requirements of managing it effectively.
Key Responsibilities
- Define data strategy roadmap, ensuring alignment with company goals, product initiatives, and market opportunities.
- Collaborate with Product Managers, Engineering, Data Science, and Business teams to identify, prioritize, and deliver data-driven features, platforms, and services.
- Translate business and product needs into clear data product requirements, user stories, and actionable plans.
- Develop a framework for data governance, privacy, and security alignment, collaborating closely with Legal, Security, and Compliance teams.
- Manage and evolve data product backlogs (internal APIs, scoring models, reporting capabilities, etc.) ensuring delivery through agile practices.
- Define and track data KPIs and business value metrics — measuring the impact of data initiatives on product performance and business outcomes.
- Lead initiatives around data quality, metadata management, and data accessibility for internal and external product use cases.
- Support strategic initiatives around data monetization opportunities, data partnerships, and ecosystem integrations.
- Evangelize a data-driven culture across the organization through training, documentation, and collaboration with business and technical stakeholders.
- Stay up-to-date on industry trends, emerging technologies, and regulatory changes impacting data management and strategy.
Essential Requirements
- University degree in Business, Computer Science, Data Science, or a related field.
- 5+ years of experience in Product Management or Data Product roles, ideally within telecom, fraud prevention, or cloud communications.
- Proven experience developing and executing data strategy roadmaps.
- Strong understanding of data governance, privacy regulations (GDPR, CCPA), and security best practices.
- Experience working with data platforms, APIs, reporting tools, and analytics environments.
- Familiarity with agile methodologies, backlog management, and cross-functional project delivery.
- Strong analytical and critical thinking skills — able to translate business needs into data capabilities.
- Excellent communication and stakeholder management skills; comfortable presenting to leadership and technical teams.
- Demonstrated ability to influence company strategy and data product vision.
Preferred Qualifications
- Experience working with RESTful APIs, data pipelines, data lakes, or cloud-based data platforms.
- Prior involvement in data monetization initiatives or third-party data partnerships.
- Knowledge of telecom/fraud detection/identity verification data structures and use cases.
Desirable Skills
- Experience working in telecom, fraud prevention, or cloud communications industries.
- Knowledge of AI/ML concepts and data-driven product development.
- Familiarity with data engineering concepts (ETL, data lakes, data warehouses, and streaming data architectures).
- Hands-on experience with API product management and developer-facing data services.
- Proficiency in SQL or experience querying and working with large datasets.
- Exposure to metadata management, data lineage, and catalog tools.
- Prior involvement in data monetization initiatives or commercializing data products.
- Understanding of identity verification, fraud scoring, and risk data models.
- Strong presentation skills with ability to communicate complex data concepts to non-technical stakeholders.
- Experience collaborating with cross-functional distributed teams in a global tech environment.
We are offering
- Competitive € salary and a comprehensive benefits package.
- Opportunities for professional development and growth in a dynamic, data-driven environment.
- A collaborative, innovative, and forward-thinking work culture.
- The chance to have a direct impact on our product development and strategic data initiatives.
About Telesign
Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications. Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation. Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Computer Science Data governance Data management Data pipelines Data quality Data strategy Engineering ETL KPIs Machine Learning Pipelines Privacy Security SQL Streaming
Perks/benefits: Career development Competitive pay
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