Big Data PM
Nucleusteq
Role: Big Data PM
Location: Phoenix, AZ
Duration: 12+ Months Contract
Job Overview:
+ Skills: Project Management
+ Strong PM with background in Data , Big Data
+ Experience with Rally and managing metrics in Rally
+ Managing Scrum ceremonies and Day to day tracking and workload management
Key Responsibilities:
+ We are seeking a proactive and detail-oriented PM with strong expertise in AWS, Python, Snowflake and Azure.
+ The ideal candidate will be responsible for defining product vision, managing the product backlog, and collaborating with cross-functional teams to deliver data-driven solutions that meet user needs and drive business objectives.
+ Must have background of Spark / Hadoop / AWS
+ Preferred - Python, Iceberg, GIT, Airflow, DBT, Trino, Snowflake, DBT, Linux/UNIX, Airflow.
Product Vision and Strategy:
+ Define and communicate the product vision and roadmap, aligning with company goals and customer needs.
+ Gather and analyze market trends and user feedback to inform product direction.
Backlog Management:
+ Create, prioritize, and maintain the product backlog, ensuring it reflects the needs of stakeholders and aligns with the product strategy.
+ Write clear and concise user stories and acceptance criteria, focusing on delivering value to users.
Collaboration:
+ Work closely with data engineering, data science, and development teams to ensure successful delivery of product features.
+ Facilitate communication between technical and non-technical stakeholders to gather requirements and provide updates.
Data Solutions Oversight:
+ Leverage your knowledge of Informatica, Python, and Airflow to understand technical constraints and opportunities for the product.
+ Ensure that data workflows and pipelines are effectively designed to meet business requirements.
User-Centric Approach:
+ Engage with end-users to gather feedback and validate product features, ensuring alignment with user needs.
+ Champion user experience and work to improve product usability and functionality.
Performance Tracking:
+ Define key performance indicators (KPIs) to measure product success and user satisfaction.
+ Analyze data and user feedback to drive continuous improvement of the product.
Documentation and Reporting:
+ Maintain comprehensive documentation of product requirements, user stories, and release notes.
+ Provide regular updates to stakeholders on product development status and roadmap progress.
Experience:
+ 10+ years of experience in product management or a related role, preferably in a data-driven environment.
+ Experience with data engineering tools and practices, specifically Informatica, Python, and Apache Airflow.
Technical Skills:
+ Familiarity with data integration, ETL processes, and data workflow management.
+ Proficiency in Agile methodologies and tools (e.g., JIRA, Confluence).
+ Understanding of SQL and data modeling concepts is a plus.
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