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Leader, Data Science. Job Opening In Durham – Now Hiring Cisco

Leader, Data Science.

    United States Jobs Expertini Expertini › United States › Jobs › Durham › Mathematical Science Occupations › Leader, Data Science.

Job description

Members of the Finance organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.

The application window is expected to close on: 10/17/2025.Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.Meet the TeamJoin the Data & Systems Architecture team within Global Procurement Services (GPS), where we design scalable data architecture, build trusted data ecosystems, and implement advanced analytics solutions.

Collaborating with cross-functional teams, we deliver insights that enhance decision-making, improve procurement efficiency, and ensure data accuracy.

At GPS, we prioritize innovation, teamwork, and excellence, fostering an inclusive environment that supports growth and success.Your ImpactAs a Leader, Data Science on the GPS Data & Systems Architecture team, you will lead the development of scalable data platforms and trusted data ecosystems that power strategic decision-making across procurement operations.

You’ll architect modern data infrastructure, establish data standards, and oversee the deployment of AI-enabled solutions that unlock insights and automation across the enterprise.You will:Lead the design and implementation of robust, secure, and scalable data infrastructure for procurement analyticsBuild end-to-end pipelines and data products to support reporting, forecasting, and AI-powered insightsGuide high-level strategy and hands-on execution for data quality, governance, and complianceCollaborate with business and engineering partners to align data architecture with enterprise needsSupport the integration of machine learning models and AI tools for use cases like supplier risk, spend forecasting, and process automationPromote adoption of cloud-native data tools, reusable frameworks, and enterprise-wide best practicesMentor and grow a high-performing team of data scientists and analysts, fostering development and alignment with business prioritiesCommunicate technical concepts clearly to executive stakeholders and drive alignment across technical and business teamsChampion a culture of innovation, experimentation, and ownership within the teamMinimum Qualifications
  • Experience: 15+ years in data infrastructure, analytics engineering, or data architecture roles, preferably within large enterprise environments
  • Data Architecture & Engineering: Hands-on expertise with MPP databases (e.g., Snowflake, Redshift, BigQuery), cloud platforms (AWS, Azure, GCP), and scalable data pipelines
  • Programming & Modeling: Advanced proficiency in Python and SQL with experience developing analytical models (e.g., regression, time-series, neural networks)
  • BI & Visualization: Strong command of tools such as Power BI, AI Analytics tools with proven ability to build data products for broad business consumption
  • Leadership: At least 6 + years of experience managing or leading technical teams, with the ability to mentor talent and drive results through collaboration
  • Governance & Compliance: Deep understanding of data governance practices, including security, privacy, and lifecycle management
  • AI/ML Engineering: Experience integrating AI/ML solutions into production workflows, including foundation models or LLM-based tools
    • Preferred Qualifications
  • Familiarity with unstructured data systems (e.g., MongoDB, Elasticsearch) and vector databases
  • Prior experience supporting procurement, supply chain, or finance domains through data and analytics
  • Master’s degree in computer science, Data Engineering, or a related quantitative field
  • Passion for driving innovation, operational efficiency, and continuous improvement using data
  • Knowledge of enterprise systems and financial planning tools.

    • Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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