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Senior Product Manager Data and AI Platform

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Job Location drjobs

Alexander City - USA

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients worldwide. The below job opportunity is to one of Our clients Who is a fashion specialty retailer founded on a simple idea: offer each customer the best possible service quality value and selection. We are looking for an individual to provide specialized Information Technology support for our strategic business partners within the client Corporate Center.
Title: Senior Product Manager Data and AI Platform
Work Location: Seattle WA 98101
Duration: 3 Months
Job Type: Contract
Work Type: Onsite

Job Description:
Duties:
  • Client Data and AI Platform Product team is seeking an experienced Senior Product Manager to lead our Data Product Hub and Data Democratization initiatives.
  • Client has established itself as the leader in the fashion retail industry and is looking to continue its successful growth by unlocking the power of data to drive innovation and deliver exceptional value to our customers.
  • We believe in the democratization of data making it accessible and actionable for everyone in the organization. Join us in our mission to build a robust Data Product Hub that empowers teams across the company to discover and selfservice their data needs for strategic decisionmaking atscale.
  • As a Senior Product Manager for Data Democratization you will obsess over identifying defining and addressing the needs and pain points across all data user archetypes within the client.
  • You will be responsible for defining and executing the product strategy driving the development of data platform tools standards governance infrastructure that ensures data accessibility and usability across the organization.
  • Your data democratization platform will deliver a simple centralized technologyagnostic ingress and usability.
  • Your product roadmap will keep pace with industry leading technology and AI capabilities that services batchcentric and realtime eventstreaming service needs or both users and enterprise applications.
  • You will actively partner with GenAI agents assistants orchestrators and maintain an active testandlearn experimentation pipeline in collaboration with numerous internal stakeholders across Data Engineering Data Science Data Governance stakeholders Analytics and BIE teams and all spectrum of data users including business users and leaders.
  • The ideal candidate will have a proven track record of defining product vision strategy on foundational data delivery products with excellent customer research journey mapping hypothesis and opportunity mapping problem definition skills.
  • Success in this role will need a strong collaborator with demonstrable experience in building strong relationships with a very wide crossfunctional set of stakeholders and commanding leadership presence who can bring the best solutions to our customers.
  • Collaboration is the key to bringing great ideas to life
Skills:
Key Responsibilities:
  • Product Strategy and Vision:
  • Develop and articulate a clear vision and strategy for the Data Product Hub.
  • Champion data democratization efforts to ensure data is accessible understandable and actionable for all users.
  • Stay up to date with industry trends and best practices in data management and product development.
Stakeholder Collaboration:
  • Collaborate with crossfunctional teams including Insights Delivery Business Intelligence teams Data Science Dev Ops as well as with key data user personas across all functional teams including Digital Customer Marketing Merchandizing Finance Supply Chain HR and Store Operations to understand their data needs and challenges.
  • Foster strong relationships with stakeholders to drive alignment and support for data initiatives.
Product Development:
  • Lead the development and enhancement of the Data Product Hub ensuring it meets user needs and supports clients strategic goals. Drive the endtoend product lifecycle from ideation to launch and ongoing optimization.
  • Prioritize features and improvements based on user feedback business impact and technical feasibility.
Data Governance and Security:
  • Work closely with data governance and security teams to ensure data integrity compliance and security are maintained.
  • Develop policies and best practices for metadata management data usage and sharing.
User Education and Enablement:
  • Drive initiatives to improve data literacy across the organization including training programs and selfservice tools.
  • Advocate for intuitive user interfaces and experiences that enhance data accessibility.
Performance Monitoring and Reporting:
  • Establish key performance indicators (KPIs) to measure the success and impact of data democratization efforts.
  • Regularly report on progress and outcomes to senior leadership.
Education:
Qualifications:
  • Bachelors degree in computer science Engineering Business or a related field; MBA or advanced degree preferred.
  • 5 years of experience in product management with a focus on data products or data platforms.
  • 2 years of direct product ownership and proven track record of successfully launching and managing data products.
  • Strong foundational knowledge of data engineering including data warehousing managing and analysing data SQL critical thinking and basic understanding of Machine Learning.
  • Strong understanding of data management principles data governance and data analytics.
  • Strong understanding of GCP services data management principles data governance and data analytics (Dataplex Dataproc BigQuery Spanner Pub/Sub Looker & Vertex AI) or equal competitive products from Databricks AWS (S3 Data Lake Redshift etc.) or Microsoft Fabric.
  • Strong domain expertise in cloudbased data systems and realtime data processing a significant plus along with experience in exploratory data analysis from complex and highdimensional datasets to produce innovative solutions for business partners.
  • Excellent communication and collaboration skills with the ability to work effectively with technical and nontechnical stakeholders.
  • Analytical mindset with a passion for leveraging data to drive business outcomes.
  • Experience with agile methodologies and product management tools
TekWissen Group is an equal opportunity employer supporting workforce Diversity.

Employment Type

Full Time

Company Industry

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