Supply Chain Transformation: Data Governance Program Manager at Cisco Systems
San Jose, California, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Nov, 25

Salary

0.0

Posted On

15 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Architecture, Information Systems, Data Governance, Data Quality, Monte Carlo, Analytics, Data Stewardship, It, Customer Value, Agile, Decision Making

Industry

Information Technology/IT

Description

WHO WE ARE

For starters, we are the #2 Supply Chain in the world according to Gartner. This recognition was earned by a diverse, inclusive, hard charging, fun loving team who continuously demonstrate the ability to handle disruption, adapt, innovate and deliver. Supply Chain Transformation is at the heart of our Supply Chain evolution, driving new business models, sustainability efforts and our next generation operating model.
The Supply Chain Transformation Data Architecture and Governance team is a key function chartered to implement overarching Supply Chain data strategy, data governance and data architecture practices with cross functional teams within Supply Chain Operations.

QUALIFICATIONS

  • 5-7 years Project Management and Data Analytics experience preferred
  • Bachelor’s degree in information systems and technologies or related majors
  • Experience working in Agile/SCRUM and lifecycle management
  • Strong written and verbal skills and the ability to communicate effectively with stakeholders & customers.
  • Experience in Tableau Dashboard / Power BI development skills, connecting data sources to build visualizations.
  • Knowledge of Data Governance, Data Stewardship, and Data Quality.
  • Ability to identify patterns and trends in data sets and compiling reports for consumption and decision-making
  • Understanding of data architecture, analytics, and how to partner with IT on the development of new capabilities.
  • Experience in Data Catalog and Quality tools like Alation, Big Eye, Monte Carlo will be a plus.
  • Motivated about customer success and tenacious at driving long-term customer value.
  • Highly organized, self-motivated, creative problem solver with a drive to continuously improve. Comfortable in a fast-paced environment, able to work on multiple projects concurrently.

How To Apply:

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Responsibilities

WHAT YOU’LL DO

The Data Governance Project Manager will report to the leader of the Data Architecture and Governance team. This role is primarily responsible for managing complex data projects, defining data policies, performing data analysis, performing audits and integrating data policy with audits.

ROLE AND RESPONSIBILITIES

  • Drive data governance initiatives (architecture, engineering, access / provisioning, security, cataloging, quality etc. ) across Supply Chain Organization.
  • Facilitate data policy definition that includes data definitions, ownership, usage, security, quality vectors for Supply Chain Data foundation
  • Perform data analysis on user adoption, user behavior, and gather insights and work on how we use data to make better informed business decisions in the roll out of the Data Catalog. This analysis feedback will enhance the linking our data governance strategy to actual operational execution.
  • Participate in our day-to-day operational follow-up, from handling immediate tactical problems to owning a set of internal processes, catalog curation, catalog adoption, policy maintenance, user experience, feedback, bug fixes, enhancement requests; This involves engaging with people across organizations and geographies and 3rd party vendors.
  • Assist driving improvement initiatives across teams and functions. This builds your understanding for how we operate and strengthens our capacity to challenge the status quo mindset about governance in the Supply Chain across Cisco.
  • Leverage Cisco’s Data Catalog to extract the user analytics and pivot data across domains to assess usage, curation progress, and build data quality measures around our most critical data sets. Build automated scripts where applicable.
  • Develop and implement data analysis, develop data insights, and optimize statistical efficiency and quality of data quality metrics.
  • Work on integrating Data Policies and develop mechanisms to audit periodically.
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