Big Data PM

Posted 5 Days Ago
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Phoenix, AZ
Expert/Leader
Information Technology
The Role
The Big Data PM will lead product management efforts for data-driven solutions, manage the product backlog, and collaborate with technical teams. Responsibilities include defining product vision, overseeing data solutions, tracking performance, and delivering updates to stakeholders. Strong expertise in AWS, Python, Snowflake, and data engineering tools is required, along with experience in agile methodologies and user-centric product development.
Summary Generated by Built In

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.

Top Skills

Python
SQL
The Company
HQ: Phoenix, AZ
500 Employees
On-site Workplace
Year Founded: 2018

What We Do

We Empower & Transform customers’ business through the use of digital technologies.

Our core focus areas are Big-Data, Cloud, Analytics (AI, ML), Blockchain, Automation & Mobility.

We enable navigation of digital transformation for several fortune 1000 clients in USA, Canada, UK & India.
NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP.

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