Job Description

The Business Intelligence Manager focused on compensation is responsible for producing financial and market intelligence related to compensation data by querying data repositories and generating periodic reports. This role involves identifying data patterns and trends, synthesizing business intelligence to support compensation strategies, and providing actionable insights to leadership. The manager will oversee the development and maintenance of compensation-related dashboards, reports, and tools, ensuring data quality and alignment with business objectives.

Key Responsibilities

Generate standard and custom reports summarizing compensation, business, financial, or economic data for review by executives, managers, and stakeholders.
Analyze compensation data to identify trends, patterns, and anomalies that impact pay strategies.
Develop and maintain business intelligence tools, dashboards, and reporting systems focused on compensation.
Collaborate with Compensation Solutions and Intelligence teams to support compensation planning and one-time payment processes.
Manage the timely flow of compensation-related business intelligence information to users.
Provide technical support for existing compensation reports and dashboards.
Communicate findings and recommendations to stakeholders to inform compensation decisions.
Ensure compliance with compensation policies and approval processes.
Lead change management initiatives related to compensation data systems and processes.
Utilize AI and advanced analytics tools to automate data preparation, enhance pattern recognition, and improve predictive analytics for compensation forecasting.

Required Skills And Qualifications

Strong expertise in business intelligence, data analysis, and compensation management.
Proficiency with data visualization and reporting tools such as Power BI, Tableau, and SQL.
Experience with compensation systems and processes, including Workday and compensation case management.
Knowledge of AI and machine learning applications in business intelligence, including automated data preparation, natural language querying, and predictive analytics.
Ability to synthesize complex data into actionable insights and strategic recommendations.
Excellent communication and stakeholder management skills.
Project management experience and ability to lead cross-functional initiatives.
Familiarity with compensation policies, approval workflows, and compliance requirements.
Strong critical thinking, problem-solving, and data storytelling capabilities.

Impact Of AI On Role

Automation of routine data cleaning, transformation, and basic analysis tasks.
Enhanced ability to detect patterns and anomalies in compensation data.
Use of AI-generated reports and visualizations to save time and improve accuracy.
Predictive analytics to forecast compensation trends and outcomes.
Natural language querying to democratize access to compensation insights.

Recommended Training

Foundational and job-specific training in AI ethics, data science, machine learning, and advanced analytics.
Training on compensation policies and systems such as Workday.
Courses on data visualization, SQL, Python, and project management.

Project - FY26 SSPO/CSAP

Why Cisco

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

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