Product Owner Cybersecurity Insights

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Die Position

The Product Owner Security Insights is responsible for the architectural design and delivery of security analytics, security risk insights, and data product development. This means you leverage data to understand security trends, ensure adherence to regulatory requirements, and build data\-driven tools to enhance the security posture.

The role provides valuable intelligence and technical blueprint to proactively identify and mitigate security risks, demonstrate compliance with industry standards, and develop innovative AI powered solutions to strengthen the overall security posture. Security risk insights are enabling business functions and RDT to make data\-informed decisions and stay ahead of evolving cyber threats.

. The Product Owner is accountable for the entire product lifecycle, from initial ideation, planning and architectural definition through to launch, scaling, and eventual retirement. You will own the roadmap, data modelling, and delivery for how we transform security, privacy, and compliance data into a proactive risk\-management engine that protects our global assets and identifies opportunities for continuous improvement

Description of the area

Job Responsibilities

• Strategy\& Vision: Accountable for setting the direction for the product and ensuring that it achieves defined outcomes and security objectives. Defines the product roadmap, and features aligned with business goals, user and user needs. Define, track, and communicate relevant KPIs for the product to measure its performance and contribution to business goals and strategy.


• Customer\-Centricity: Actively collect, understand, and prioritize the needs of internal users. Act as the primary owner of the “customer's” problem and be responsible for defining and delivering a solution that provides tangible value. Define and track key metrics related to user satisfaction, engagement, and value delivery, and use this data to inform product iterations.


• Data Architecture\& Engineering Leadership: Serve as the primary Data Architect for the security insights product, designing and owning the end\-to\-end technical structure within the DataOne ecosystem. You are responsible for designing high\-quality Data Products following Data Mesh principles, providing expert guidance to data engineers on the implementation of pipelines (Talend, Snowflake, dbt, Python, DataOps@Roche) and advanced visualizations (Tableau, ThoughtSpot). Your architectural leadership ensures the data foundation is scalable, secure, and optimized for both executive reporting and AI/Machine Learning initiatives.


• Product Lifecycle Mgmt: Own the end\-to\-end product lifecycle, guide its development, and manage its growth and adoption. Manage the product in compliance with emerging regulations.


• Stakeholder Collaboration: Expand collaboration to a broader set of cross\-functional teams and be responsible for aligning these teams around the product roadmap. Clearly communicate the product roadmap, timelines, and potential trade\-offs to various stakeholders to manage their expectations effectively.


• Performance\& Optimization: Define success metrics, analyse user behavior, and identify opportunities for optimization to achieve business goals. Translate data into actionable insights and regularly communicate product performance to stakeholders and the wider team.

Qualifications

Education / Experience

• University degree in a technical or analytical field (e.g., Computer Science, Data Science, Statistics, or Engineering)


• Proven track record as a Product Owner or Technical Product Manager specifically for data\-intensive platforms (e.g., analytics engines, risk scoring, or AI/ML products).


• Proven track record of managing Data Products or AI/ML\-based platforms, specifically focusing on turning data (e.g. vulnerability data, telemetry, etc.) into predictive insights


• Experience in Cybersecurity, Security Analytics orIT Risk Management is a plus

Technical Skills

• Expert\-level proficiency in designing Snowflake data structures, schemas, and table optimizations. Strong understanding of Data Mesh principles and the ability to design decentralized Data Products that are scalable and reusable.


• Hands\-on experience with Gitlab for version control and data pipelines orchestration, using Talend, dbt, and Python.

Strong recommended experience with:

• Mastery of transforming complex security datasets into intuitive executive narratives using Tableau and ThoughtSpot. Ability to design self\-service analytical apps that empower non\-technical stakeholders.


• Ability to architect data foundations specifically for AI/Machine Learning initiatives. Experience in preparing high\-quality feature sets for predictive modeling, anomaly detection, and automated risk scoring.


• Expertise in consuming and exposing APIs to integrate security insights into the Roche ecosystem


• Expertise in Continuous Controls Monitoring (CCM) and translating security frameworks (i.e. NIST CSF, ISO 27001\) into automated, data\-driven dashboards

Additional Qualifications

• Ability to translate high\-level business goals into a concrete product vision and roadmap.


• Strong communication and influencing skills, with the ability to manage expectations and align diverse groups (security experts, engineers, executives) towards a common goal.

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Wer wir sind

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