ALSAC
ProductOwnerIIBI
“Product Owner II - BI at ALSAC. Skills: Product ownership, Data engineering, Business analysis, Agile methodologies. Own the vision, roadmap, and backlog for BI and data products, including data pipelines, analytical datasets, semantic models, dashboards, and reporting platforms.. Define and prioritize work across database platforms, cloud data services, and data integration tooling to ensure reliable, high‑quality analytics delivery.”
Industry & Context.
Translate business problems, KPIs, and analytical questions into clear, technically sound product requirements and user stories.
What They're Looking For.
Must Have
Bachelor’s degree in Business, Information Systems, Analytics, Computer Science, or related field, or equivalent experience., 3–6 years of experience in a Product Owner, Product Manager, Business Analyst, or Analytics role within a data‑intensive environment., working knowledge of SQL and relational data structures., Demonstrated experience working closely with data engineering and technical architecture teams., Proven ability to balance technical depth with business communication., Hands‑on experience supporting products built on cloud data platforms (AWS, Azure, Snowflake, Databricks)., Familiarity with ETL/ELT frameworks and modern data pipeline architectures., Experience working in Agile/Scrum product teams.
Nice to Have
Product Owner or Agile certifications (CSPO, PSPO, SAFe PO/PM)., Exposure to AI‑driven analytics, automation, or advanced data tooling.
What You'll Do.
and backlog for BI and data products
including data pipelines
and reporting platforms.
Define and prioritize work across database platforms
and data integration tooling to ensure reliable
high‑quality analytics delivery.
Ensure technical solutions align with enterprise data architecture
and governance standards.
Serve as the primary interface between technical delivery teams and business partners.
Translate business problems
and analytical questions into clear
technically sound product requirements and user stories.
Partner closely with data engineers and analytics engineers working with relational and cloud‑based data platforms.
Ensure adherence to data engineering best practices including dimensional data modeling
analytics‑ready datasets
and governed metrics.
Guide prioritization related to data quality
Maintain a refined and prioritized backlog with well‑defined user stories and acceptance criteria.
Collaborate with agile teams throughout design
Review and accept technical deliverables
ensuring alignment with business intent and architectural expectations.
and constraints related to data availability
Contribute to a data product ecosystem leveraging current
industry‑leading technologies.
Support the adoption of cloud‑native data services
automated data pipelines
Partner with engineering teams to enable automation
and reliability across data integrations.
Support exploration and adoption of AI‑enabled analytics
advanced data tooling
and modern data platform patterns.
How You'll Work.
Team & Collaboration
Works across architecture, infrastructure, and data engineering teams.; Actively participating in and leading technical discussions related to data design, integration, quality, and performance.; Partnering closely with business stakeholders to understand their data needs and business problems.; Serve as the primary interface between technical delivery teams and business partners.; Partner closely with data engineers and analytics engineers working with relational and cloud‑based data platforms.; Collaborate with agile teams throughout design, development, testing, and release.; Partner with engineering teams to enable automation, scalability, and reliability across data integrations.
Communication Scope
Translate complex technical concepts into clear, outcome‑focused discussions with business partners.; Communicate data concepts, tradeoffs, and limitations in business‑friendly language while maintaining technical rigor.
Process & Methodology
Own the vision, roadmap, and backlog for BI and data products., Define and prioritize work., Maintain a refined and prioritized backlog with well‑defined user stories and acceptance criteria., Identify risks, dependencies, and constraints.
Applying for this Product Owner II - BI role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about ALSAC?
Real rants from real employees. Read before you apply.