GEP

Senior Associate - Product Management

ID 2024-33184
Job Locations (City + Country)
IN-MH-Airoli (W), Navi Mumbai
Category
Product Management
Position Type
Full-Time Employee
Posted Date
3 days ago(22/11/2024 5:59 AM)

Company Overview

GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. 

 

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

 

Are you one of us?

 

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

 

For more information please visit us on GEP.com or check us out on LinkedIn.com.

 

What you will do

The Data Platform team's mission is to build leverage for GEP through trustworthy data. Their data architecture and technologies power analytics, reporting, machine learning, AI, and data applications across the company.

 

As a Data Platform Product Manager,  you will be responsible for collaborating with engineering to define the taxonomy strategy, and workflows and tools that are used to create, maintain, and consume data. Your teams will deliver on that vision so that every GEP SMART and GEP NEXXE user can easily make data driven decisions.

 

We are seeking an experienced, driven, product manager who is passionate about improving data productivity, and working closely with Engineering to define the next generation architecture and tooling for how data is produced and consumed. This product manager will have "full stack" product responsibilities, working alongside other product managers across the portfolio, as well as experienced data portfolio engineering teams. We are looking for someone who can straddle the technical and business aspects of a data platform, driving a best in class data architecture that helps GEP employees and customer users make data driven decisions.

What you should bring

  • 5+ years of product management experience related to data and/or data infrastructure
  • Passionate about improving developer productivity, product quality, and automating/optimizing developer workflows.
  • Demonstrated empathy for key data management pain points, and a track record of leadership in building products for data engineers or data scientists
  • Drive the taxonomy evolution strategy that enables better detection, routing, and log user issues
  • Strong understanding of technical architecture and data infrastructure principles
  • Experience with managing multiple product team roadmaps to build cohesive data ecosystems, platforms and tools
  • Proven ability to prioritize and pair bold product vision with execution
  • Strong written and verbal communication ability to influence and drive strategy

 

Preferred Experience

  • Experience as a data engineer, data scientist, or other advanced data user
  • Knowledge of data creation and consumption products (dbt, Airflow, Spark, Superset, DataHub, etc.)
  • Experience with anomaly detection, observability, and logging toolsets. Also ML products including feature creation and/or model training

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