Sk4h9FMJP 4379xQZ kTXdS — Greater Chicago Area
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ОткликнутьсяКомпания: ••••••••
Локация: Greater Chicago Area
Формат: не указан
Занятость: Полная занятость
Грейд: не определён
QM96gwze4 mHhKtC5 zECpr – Data Platform & Business Intelligence
Location: Chicago, IL (Hybrid – 3 days onsite, 2 days remote)
Salary: $107,650–$130,000 base
About the Opportunity
Our client, a leading global professional services organization, is seeking a QM96gwze4 mHhKtC5 zECpr to support expanding Data Platform and Business Intelligence initiatives.
This is an excellent opportunity for a hands-on 44YtXKP K6zsE who enjoys working closely with technical teams, managing Agile delivery, and translating complex business and technical requirements into actionable development work.
We are seeking professionals with strong product ownership experience and a solid understanding of data concepts, including databases, data ingestion, data pipelines, and system integrations.
Two positions are available:
• Data Platform: Supporting data engineering, data pipelines, data transformations, and enterprise data infrastructure.
• Business Intelligence: Supporting business intelligence, reporting, analytics, and data visualization initiatives.
Candidates with experience in either area are encouraged to apply.
Key Responsibilities
• Own and manage the technical product backlog, including backlog creation, prioritization, refinement, and grooming.
• Translate business and technical requirements into detailed epics, user stories, and clearly defined acceptance criteria.
• Independently break down complex technical initiatives into actionable development tasks.
• Lead Agile/Scrum ceremonies, including daily standups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Partner closely with data engineering, BI engineering, QA, DevOps, and other technical teams to drive successful product delivery.
• Identify and proactively resolve blockers, dependencies, and delivery risks.
• Support product roadmap planning, sprint execution, release planning, and continuous improvement.
• Collaborate with technical teams on data-related initiatives involving ingestion pipelines, data transformations, databases, reporting solutions, and analytics platforms.
• Coordinate testing, user acceptance testing (UAT), deployment readiness, and post-release validation.
• Communicate technical requirements, product priorities, and delivery progress to business stakeholders and leadership.
Required Qualifications
• 5+ years of experience in 9YcDzcV jyYXuKMuh7 or WAurshF RbUtgexhG, with hands-on technical product delivery responsibilities.
• Demonstrated experience independently managing technical product backlogs, including prioritization, refinement, and grooming.
• Strong ability to translate complex technical requirements into detailed user stories and acceptance criteria.
• Experience managing Agile/Scrum teams and independently facilitating Scrum ceremonies.
• Experience supporting data-focused products or initiatives, OR previous technical experience in areas such as data engineering, business intelligence, software engineering, database administration, or data analytics.
• Solid understanding of data concepts, including databases, data structures, data ingestion, data pipelines, and system connectivity.
• Proven ability to collaborate effectively with engineering teams and translate business needs into technical requirements.
• Excellent written and verbal communication skills, with the ability to engage both technical and nontechnical stakeholders.
Preferred Qualifications
• Experience with Microsoft Azure and related data services.
• Familiarity with Databricks, Snowflake, or Power BI.
• Experience with data engineering platforms, enterprise reporting, or business intelligence products.
• Proficiency with Agile project management tools such as Jira.
• Certified Scrum 44YtXKP K6zsE (CSPO), Certified ScrumMaster (CSM), or similar Agile certification.
• Certified Data Management Professional (CDMP) or comparable certification.
• Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or a related field.