Product Manager

Primary Skills

• Data Analysis, Product Management, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance)

Job requirements

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• Location: Chicago, IL - Hybrid
• Reports To: Sr Director of Analytics
• Type: Full-time
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• Key Responsibilities
• Data Product Strategy & Ownership
• oDefine and execute the roadmap for data products with an emphasis on clickstream and behavioral data.
• oServe as the voice of the customer (data consumers) to prioritize use casesand drive adoption across business and technical teams.
• oChampion data as a product, ensuring datasets are discoverable, trustworthy, well-documented, and fit for purpose.
• •Technical Collaboration
• oPartner with data engineering, analytics, and digital product teams to define data requirements, establish SLAs, and ensure robust data pipelines.
• oTranslate business needs into technical specifications, user stories, and data models.
• oOversee the lifecycle of tracking plans and digital instrumentation in collaboration with analytics engineers and developers.
• •Governance & Quality
• oOwn data quality processes for clickstream data — establishing validation, anomaly detection, and documentation standards.
• oEnsure data privacy, compliance, and governance policies are integrated into the product lifecycle.
• •Stakeholder Engagement
• oAct as a key liaison between engineering, marketing, product, analytics, and executive teams for all things related to clickstream and behavioral data.
• oFacilitate training, onboarding, and education around available data products and tools.
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• Qualifications
• •7+ years of experience in product management, data engineering, analytics, or a related role.
• •Deep familiarity with clickstream data, digital analytics tools (e.g., Adobe Analytics, GA4, Mixpanel), and tag management systems.
• •Strong understanding of data engineering principles — ETL/ELT processes, data modeling, and warehouse environments (e.g., Snowflake, BigQuery).
• •Experience writing technical documentation, user stories, and managing agile workflows.
• •Excellent stakeholder management and communication skills, especially in cross-functional environments.
• •Bonus: Experience with CDPs (e.g., Segment, mParticle), event taxonomy management, or privacy-focused data design.
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• What Success Looks Like
• •A clearly defined and actively managed data product roadmap.
• •High stakeholder trust in the accuracy, relevance, and usability of behavioral data.
• •Reduced friction in data access and understanding for business users.
• •Strong partnerships with engineering and analytics functions to accelerate insight delivery.
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• Know more about:
• DAI: https://www.brillio.com/services-data-analytics/
• Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/
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• Equal Employment Opportunity Declaration
• Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
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• #LI-SR1