Talent Intelligence & Insights Lead (Remote)
Cisco Systems, Inc.
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Job summary
Cisco Systems, Inc. is seeking a Talent Intelligence & Insights Lead to connect recruiting strategy with labor market analytics and executive storytelling.
You will synthesize external signals and internal HR data to guide global location and hiring decisions, and you will define our reporting roadmap for leaders across the organization. You will partner with Talent Acquisition, Workforce Planning, and Analytics Engineering to translate business questions into data requirements and to deliver
Qualifications
- Bachelor's degree in HR/Analytics/Market Research or related field, plus 7+ years of intelligence, analytics, workforce strategy, or talent acquisition insights.
- Deep analytics experience, preferably HR/talent/people analytics.
- Proven ability to synthesize multi-source data into executive-ready stories and dashboards.
- Strong stakeholder leadership and cross-functional collaboration.
- Familiarity with BI tools, advanced Excel, and basic SQL.
Responsibilities
- Own data architecture, governance, data models, and taxonomy for external talent intelligence datasets.
- Synthesize market signals into actionable executive narratives, presentations, and sourcing playbooks.
- Define the talent intelligence product roadmap with TA leaders and Workforce Planning.
- Collaborate with Analytics Engineering to translate questions into data requirements and metric delivery.
- Champion external platforms (Draup, LinkedIn Talent Insights, SeekOut) and drive user adoption.
Skills
Education
Tools
Job description
Cisco Systems, Inc. is seeking a Talent Intelligence & Insights Lead to connect recruiting strategy with labor market analytics and executive storytelling.
You will synthesize external signals and internal HR data to guide global location and hiring decisions, and you will define our reporting roadmap for leaders across the organization. You will partner with Talent Acquisition, Workforce Planning, and Analytics Engineering to translate business questions into data requirements and to deliver
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