WHAT DOES A BUSINESS INTELLIGENCE MANAGER DO?

Updated: Oct 13, 2025 - The Business Intelligence Manager defines and drives the global analytics vision for the supply chain to improve performance, efficiency, and decision-making. This role involves leading a multidisciplinary team of engineers to design, develop, and implement scalable, secure, and high-quality data and analytics solutions that support strategic business goals. In addition, the Manager partners with technology and business leaders to deliver data-driven insights and ensure all systems are efficient, maintainable, and aligned with organizational objectives.

A Review of Professional Skills and Functions for Business Intelligence Manager

1. Business Intelligence Manager Tasks

  • Best Practice Development: Work closely with the Director of Enterprise Intelligence to define best practices and standards for data, reporting, and analysis.
  • Analytical Gatekeeping: Serve as the gatekeeper for analytical work products produced by the Business Intelligence team.
  • Tool and Process Building: Actively build processes, tools, and best practices to make data more accessible.
  • Leadership: Lead organizational improvements and collaborate with cross-functional teams in performance evaluation, KPI reporting, forecasting, and opportunity identification.
  • Strategic Consultation: Act as a consultant to key stakeholders by designing and interpreting analyses of data and developing data-based recommendations for strategic management decisions.
  • Data Warehouse Support: Support Data Warehouse development to improve the quality and coverage of data sources.
  • Modeling and Forecasting: Produce forecasting and analytical models to support higher utilization and efficiencies.
  • Data Security Enforcement: Understand and enforce security and compliance protocols when working with sensitive and proprietary data sets.
  • Reporting Coordination: Coordinate the production of monthly, quarterly, and annual reporting, including Board of Trustees metrics.
  • Tableau Oversight: Provide oversight and responsibility for the Tableau reporting suite and other analytical publications.

2. Business Intelligence Manager Roles

  • Business Consultation: Identify, develop, manage, and execute business needs through consultation with business leaders.
  • Learning Solutions Development: Develop and experiment with a new learning solution reporting that allows us to measure and accelerate the proficiency of Operations leaders.
  • Performance Metrics Establishment: Establish a comprehensive set of metrics to measure the performance of operation leaders and the impact of programs.
  • Stakeholder Reporting: Provide ongoing program updates and reporting to stakeholders.
  • Global Consistency Oversight: Work with governing bodies to ensure metric definitions are consistent globally.
  • Partnership Maintenance: Maintain close partnerships with the Organizational Research and Measurement Team on all leader retention initiatives.
  • Metrics Development: Partner with program managers to develop relevant and defensible metrics with KPIs that drive and track business strategy.
  • Data Governance: Drive proper data governance (data integrity, metric definitions, and single versions of truth).
  • Professional Leadership Interaction: Work independently with leaders at a professional level and be articulate, prepared, and knowledgeable in those encounters.
  • Analytic Protocol Adherence: Follow appropriate analytic protocols for the work team and enterprise to ensure analytic products are accurate and meaningful.

3. Business Intelligence Manager Additional Details

  • Business Insight Anticipation: Anticipate reporting and business insight needs, manage expectations of business customers, and shape a shared vision around reporting priorities.
  • Reporting: Define reporting objectives and business requirements with stakeholders and establish the necessary process changes to achieve these.
  • Global Delivery Management: Overall responsibility for the delivery of requests, and scale capacity and expertise as PS Direct expands globally.
  • Stakeholder Relationship: Build strong relationships with business stakeholders across multiple levels and create a collaborative way of working.
  • Thought Leadership in Reporting: Act as a thought leader to identify and define new frameworks as the business scales.
  • Relationship Management: Develop and maintain positive relationships with a core group of partners across the organization, especially Planning and Data Engineering.
  • Scope Setting: Set and refine strategy and scope for the team in collaboration with the leadership.
  • Business KPIs Management: Support the direction of the business, manage and report business KPIs and metrics.
  • Strategic Reporting Planning: Determine future reporting requirements and strategic needs aligned with the organization's strategy.
  • Global Team Leadership: Lead a team spread across the globe to achieve strategic and operational goals and mentor junior colleagues.
  • Team Development: Responsible for hiring, staffing, training, performance management, and career progression of diverse and effective contact team members.

4. Business Intelligence Manager Essential Functions

  • HR Analytics Creation: Create HR analytics reports and dashboards for use in business decisions and strategic planning.
  • Data Consolidation: Use report writing software and visualization tools, such as Power BI and Excel, to consolidate complex data into meaningful reports and dashboards.
  • Data Quality Assurance: Review, update, and investigate pertinent data from service providers to ensure a high level of quality, accuracy, and timeliness.
  • HR Data Analysis: Analyze and research HR data to review the effectiveness of new initiatives and identify trends.
  • Documentation Maintenance: Maintain documentation and update reports as data system enhancements are put into place and/or business rules evolve.
  • User Support: Work with user groups to provide training, resolve questions, assess user needs, and recommend changes to data, reports, and dashboards.
  • Stakeholder Collaboration: Work with key stakeholders to identify reporting needs, define requirements, and design reports and dashboards.
  • Ethical Decision-Making: Exercise responsible and ethical decision-making regarding company funds, resources, and conduct.
  • Code of Conduct Adherence: Adhere to WSP’s Code of Conduct and related policies and procedures.
  • Operational Support: Handle incoming advisor and client communications to provide operational expertise, share industry and organizational best practices, troubleshoot complex situations, and resolve service issues.

5. Business Intelligence Manager Role Purpose

  • Needs Identification: Identifying necessary software and hardware needs, and troubleshooting any data-related problems.
  • Security Protocols Development: Developing and implementing the latest security procedures and protocols for data management.
  • Data Retrieval Protocols: Creating protocols for the retrieval and analysis of ongoing data storage.
  • Data Systems Management: Overseeing and managing a team in the day-to-day use of data systems.
  • Internal Support Liaison: Acting as a liaison between internal support teams, including Sales, Finance, Market Rep, Scheduling, IT, etc.
  • AI Models and Platforms: Educating areas on processes, services, and procedures of the FoM AI models and platforms.
  • Communication: Communicating and listening to create lasting business relationships.
  • Professional Training: Participating in a training program developed to equip you with the knowledge and confidence needed to succeed.
  • Financial Services: Gaining financial services and model knowledge, and being provided with company-sponsored training.
  • Relationships Development: Developing and nurturing business-to-business relationships.

6. Business Intelligence Manager General Responsibilities

  • Solution Advising: Advise business partners and technical resources regarding solution options while adhering to architectural standards.
  • Technical Direction: Determine technical direction for IT Business Intelligence projects using the expertise and available resources.
  • Priority Management: Work with the business units to prioritize the development work based on relative priorities and ensure these are delivered according to committed dates.
  • Design Standardization: Define and set the standards for dashboards and reporting design standards focused on effective interactions.
  • Service Improvement: Identify opportunities to improve on services related to BI and Information Delivery.
  • Metric Standardization: Define and set the standards for metric standardization across the organization.
  • Development Leadership: Lead development efforts by performing detailed analysis, developing detailed designs, and data models, and executing and testing applications.
  • Technical Documentation: Generate and maintain technical documentation for data analytics systems.
  • Project Communication: Communicate project status updates to all levels of the organization and directly interface with the senior leadership team.

7. Business Intelligence Manager Key Accountabilities

  • Strategic Insight: Combine strategic, creative, and technical skills to deepen the organization’s understanding of business trends and customer behavior and drive growth in core KPIs.
  • BI Team Leadership: Own the BI team vision and roadmap, prioritize requests, balance tactical and strategic needs, and manage deadlines.
  • Dual Role Leadership: Act as both a player and coach, operating as an individual contributor while also guiding and developing a talented team of data analysts.
  • Advanced Analytical Leadership: Lead analytical deep-dives by developing sophisticated models to produce robust and actionable product, user, and business insights.
  • Ad-hoc Analysis Provision: Provide ad-hoc analyses and day-to-day support that inform business operations and senior management decisions.
  • Issue Resolution Management: Investigate, triage, and resolve metrics-based issues.
  • Dashboard Development: Build and maintain compelling internal dashboards using best-in-class visualization practices.
  • Inspirational Presentations: Clearly and concisely present recommendations that motivate and inspire the team to build with conviction.
  • Automation of Insights: Look for opportunities to automate insights through alerting and anomaly detection.
  • Leadership: Lead the definition and governance of metrics, and provide the necessary tools, processes, and training to democratize data and encourage self-service analytics capabilities.
  • Engineering Collaboration: Partner closely with Engineering to drive the collection of new data and the refinement of existing data sources.

8. Business Intelligence Manager Roles and Details

  • Market Analysis: Analyze market and brand trends and performance for all businesses.
  • Reporting: Capture and communicate these trends/performance dynamics via management and publication of ongoing and timely reporting.
  • Data Management: Maintain organizational knowledge of all insights and performance data generated relative to brands.
  • Research Planning: Create, maintain, and ensure timely execution of the marketing research plans, driving alignment with brand strategy and adapting to evolving business needs.
  • Market Research: Drive primary/secondary market research efforts to support Commercial Operations teams to achieve higher marketing and sales impact.
  • Strategic Participation: Actively participate in the brand planning process based on a deep understanding of the market, all stages of the patient journey, and stakeholder influences.
  • Insight Development: Clarify moments of meaning and highlight opportunities to enhance the patient experience.
  • Prioritization: Develop plans to prioritize and address insight gaps across stakeholders.
  • Metrics Tracking: Collaborate with leadership, finance, marketing, and sales teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making.
  • Integration and Deployment: Collaborate with Global and regional business excellence teams to integrate and deploy market intelligence initiatives, processes, systems, and tools.

9. Business Intelligence Manager Responsibilities and Key Tasks

  • Data Collection Coordination: Coordinate and define procedures and best practices for data collection and curation.
  • Data Management: Manage data warehouse, databases, and other data sources, and troubleshoot data-related problems.
  • Reporting Creation: Create reports and dashboards to the desired specifications.
  • Platform Utilization: Utilize many reporting and dashboarding platforms for data presentation.
  • Outsourcing Oversight: Oversee and manage any outsourced or delegated work (to internal or external teams).
  • Business Translation: Translate business needs and objectives into data-related backlog and priorities.
  • Operational Orchestration: Orchestrate any data-related work for global, operational teams.
  • Dashboard Design: Design visualizations and dashboards to deliver insightful and actionable tools for managers on various levels (Team Leads, Department Managers, and functional Directors).
  • KPI Leadership: Lead and/or support KPI, SLA development, and deployment.
  • Business Advisory: Act as a business advisor while supporting and enforcing a data-driven culture.
  • Initiative Ownership: Own decisions and the backlog of automation and improvement initiatives for data-related work.
  • Corporate Alignment: Align with corporate data-related procedures, practices, standards, and requirements while delivering exceptional value to the shared services team.

10. Business Intelligence Manager Duties and Roles

  • Data Strategy Development: Develop and implement the FTIS business performance data strategy.
  • Analytics Tools Management: Define the requirements and manage the development of the appropriate tools and framework to support data analytics and reporting requirements.
  • Relationship Building: Build strong relationships with internal and external data and system owners.
  • Data Onboarding: Identify and on-board relevant data sets, ensuring quality, integrity, timeliness, and completeness requirements are met.
  • Reporting System Management: Manage the maintenance and changes to reporting systems, dashboards, and performance metrics.
  • Stakeholder Partnership: Partner with stakeholders to get the maximum value out of analytics and insights.
  • Scorecard Production: Produce regular business performance scorecards and management dashboards.
  • Performance Metrics Management: Define the reporting requirements and manage the production of regular performance metrics and dashboard reports.
  • Insights Presentation: Provide commentary and insights and present results to FTIS management.
  • Query Resolution: Address ad-hoc queries from the FTIS team.
  • Business Analysis: Understand business needs and determine data and analytical requirements.
  • Results Presentation: Present the results of the analysis to the business team in a structured and concise manner.

11. Business Intelligence Manager Duties

  • Data Strategy: Develop and run the BI and analytics roadmap to drive actionable insights across the organization.
  • Performance Monitoring: Build BI resources to monitor company performance and foster a culture of continuous improvement.
  • Analytic Innovation: Enhance organizational performance through analytic innovation and proactive data-driven insights.
  • Cross-Functional Collaboration: Collaborate closely with functional teams to design reporting and analytic solutions tailored to specific business needs.
  • Strategic Analysis: Lead cross-functional strategic analysis initiatives to support key business objectives.
  • Reporting Tools: Implement, develop, and deploy reporting tools that enable senior leadership to make well-informed strategic decisions.
  • Stakeholder Management: Serve as the primary point of contact for stakeholders regarding data-related questions or dashboard issues.
  • Data Documentation: Document data definitions, key metrics, and sample reports to ensure alignment and consistency in company-wide reporting.
  • Data Literacy: Actively promote data literacy and structured thinking around data utilization and management.
  • Team Mentorship: Mentor and support business developers in building a deep understanding of data, its applications, and the structure of reports and dashboards.

12. Business Intelligence Manager Details

  • Team Development: Support the professional growth and career development of a team of Business Intelligence Engineers.
  • Stakeholder Collaboration: Collaborate with internal stakeholders across multiple teams to gather requirements and deliver comprehensive analytical solutions.
  • Cross-Functional Coordination: Work closely with Data Engineering, Software Development, and Applied Science teams to define and prioritize data and BI initiatives.
  • Business Analysis: Lead deep-dive analyses of business performance to uncover insights and identify areas for operational improvement.
  • Leadership Vision: Demonstrate strong leadership and vision to guide the BI team toward driving measurable business impact.
  • Innovation Culture: Foster a culture of innovation and analytical excellence within the team.
  • Analytics Platform Management: Oversee the design, development, and deployment of analytics platforms that provide structured and scalable access to data.
  • Self-Service Enablement: Promote and support the effective use of self-service analytics and reporting tools across the organization.
  • Strategic Alignment: Ensure that BI solutions align with strategic objectives and continuously enhance decision-making capabilities.

13. Business Intelligence Manager Responsibilities

  • Competitive Analysis: Prepare and deliver detailed reports on competitor activities and market positioning.
  • Client Relations: Meet with clients to understand needs, explore opportunities, and strengthen business relationships.
  • Business Growth: Support the identification and definition of new business areas for growth and diversification.
  • Strategic Execution: Assist in converting strategic opportunities into actionable business initiatives.
  • Product Expansion: Contribute to expanding the company’s product and service offerings to meet evolving market demands.
  • Market Evaluation: Identify and evaluate new markets and industry sectors for potential sales targeting.
  • Stakeholder Influence: Influence internal stakeholders to ensure the effective execution of identified opportunities.
  • Strategic Presentation: Present and pitch strategic business ideas and proposals to the board.
  • Marketing Collaboration: Collaborate with the marketing department to align business development efforts and address market gaps.

14. Business Intelligence Manager Job Summary

  • Strategic Direction: Set the strategic direction for Business Intelligence processes, standards, and best practices across the organization.
  • BI Communication: Establish and maintain effective communication channels to support BI governance and collaboration.
  • Resource Management: Manage BI resources and project prioritization in coordination with Enterprise Analytics objectives.
  • Performance Measurement: Measure and report on the success and ROI of BI initiatives and development efforts.
  • Budget Collaboration: Collaborate with the Director on budgeting and resource allocation for analytics programs.
  • Executive Partnership: Partner with senior management to deliver actionable performance insights and analytical solutions.
  • Consultative Analysis: Consult with internal clients and team members to diagnose issues and design effective BI-driven solutions.
  • Process Integration: Evaluate potential process and system impacts to ensure seamless integration of BI initiatives across the organization.
  • Team Oversight: Oversee BI analysts’ collaboration with IT and Enterprise Analytics teams to implement reporting solutions aligned with customer and business needs.

15. Business Intelligence Manager Accountabilities

  • KPI Reporting: Report a comprehensive suite of KPIs to senior leadership on both monthly and quarterly cycles.
  • Financial Collaboration: Collaborate with the FP&A team to identify key business trends and provide actionable insights and recommendations.
  • Dashboard Development: Design, develop, and maintain metrics, dashboards, and analytical reports that guide strategic decision-making.
  • Data Quality: Ensure data accuracy, consistency, and accessibility across all business reporting tools.
  • Data Culture: Promote data democratization and foster a culture of data-driven decision-making through BI tool adoption and user education.
  • BI Roadmap: Develop and manage the Business Intelligence roadmap, aligning short-term needs with long-term strategic goals.
  • Metric Governance: Lead the definition, standardization, and governance of company-wide performance metrics.
  • Team Enablement: Empower internal teams to track and improve their performance using analytics-driven insights.
  • Data Partnership: Partner with data engineering teams to enhance data architecture, infrastructure, and data quality management.

16. Business Intelligence Manager Functions

  • Data Management: Oversee OX user data management, including the planning and execution of data collection, collation, and market research initiatives.
  • Research Projects: Conduct research projects independently or in collaboration with partners to inform product development, business models, and user management strategies.
  • User Personas: Develop and refine customer and end-user personas to guide resource allocation and strategic decision-making.
  • Data Reporting: Produce internal and external reports featuring key data insights for stakeholders.
  • Analytical Studies: Perform diverse analyses such as win/loss reviews, customer satisfaction studies, usability testing, eye-tracking, and A/B experiments.
  • Client Collaboration: Collaborate closely with clients to design and implement research strategies centered on customer and user intelligence.
  • Market Monitoring: Monitor market trends and share actionable insights with Product Marketing, Sales, and Account Management teams.
  • Opportunity Communication: Keep customers and internal teams informed of emerging opportunities and market shifts.
  • Research Guidance: Guide customers and partners through evidence-based, optimized research methodologies.
  • Partnership Management: Build and maintain partnerships with agencies and third-party collaborators to strengthen research capabilities.

17. Business Intelligence Manager Job Description

  • Team Leadership: Coach and lead business intelligence and engineering teams with a strong focus on KPI tracking, performance analysis, and reporting.
  • Data Analysis: Oversee data gathering, interpretation, and analysis to identify patterns, trends, and actionable insights.
  • Analytical Reporting: Prepare and submit detailed analytical reports to management and relevant department heads.
  • Strategic Collaboration: Collaborate with leadership and stakeholders to define data-driven business goals and priorities.
  • Performance Monitoring: Execute regular analytical and reporting tasks to maintain consistent performance insights.
  • Change Management: Implement and manage cross-functional initiatives involving operational and strategic change management at a global level.
  • Stakeholder Communication: Present analytical findings clearly and persuasively, adapting communication style to suit different stakeholder audiences.
  • Tool Development: Develop and maintain analytical tools and processes in Domo, databases, and other platforms to enhance monitoring and efficiency.
  • Data Integration: Integrate data from multiple sources to strengthen analytical literacy and decision-making capabilities.
  • Project Management: Define, plan, and track project execution to ensure alignment with timelines, objectives, and quality standards.

18. Business Intelligence Manager Overview

  • Data Solution Design: Collaborate with cross-functional teams to design, develop, and implement comprehensive data solutions from concept to execution.
  • Data Analysis: Conduct in-depth analysis of complex datasets to identify trends, uncover insights, and provide actionable recommendations.
  • Data Preparation: Curate, clean, and transform data to ensure accuracy, consistency, and usability across systems.
  • SQL Development: Write advanced SQL queries, stored procedures, and scripts to support analytical and operational needs.
  • Data Visualization: Develop interactive dashboards and data visualizations using tools such as Tableau, Tableau Embedded, Python Matplotlib, or Sigma.
  • Machine Learning: Deploy and maintain machine learning and AI models that generate meaningful, data-driven insights.
  • Model Optimization: Monitor model performance and ensure continuous improvement through retraining and optimization.
  • Team Leadership: Manage a small team of BI Developers, providing guidance and technical leadership.
  • Cross-Department Collaboration: Promote collaboration between data, analytics, and business units to ensure solutions align with strategic objectives.

19. Business Intelligence Manager Details and Accountabilities

  • Analytics Vision: Define and drive the global analytics vision for the supply chain to enhance performance and efficiency.
  • Team Leadership: Lead and manage a multidisciplinary team of engineers, including data engineers, business intelligence engineers, and system development engineers.
  • Talent Development: Recruit, develop, and retain diverse top talent aligned with organizational goals and technical requirements.
  • Project Roadmap: Establish and execute a roadmap for complex, cross-functional analytics and engineering initiatives.
  • Solution Development: Oversee the design, development, and testing of scalable, secure, and high-quality data and analytics solutions.
  • System Efficiency: Ensure all systems and analytical outputs are efficient, maintainable, and thoroughly documented.
  • Data Integration: Collaborate with technology teams to extract, transform, and deliver low-latency data from multiple sources.
  • Business Partnership: Partner with business leaders and product managers to address strategic challenges through data-driven solutions.
  • Analytical Rigor: Apply analytical and engineering rigor to generate insights that support key supply chain and business decisions.

20. Business Intelligence Manager Additional Details

  • Competitive Analysis: Provide executive management with timely and insightful analyses on critical competitive threats, market movements, and strategies, along with implications and recommended actions.
  • Decision Support: Deliver analytical support for business decision-making involving cross-departmental and multi-functional areas.
  • Data Integration: Develop reports and data models that integrate information across Finance, Supply Chain, Market Data, and Consumer Insights.
  • Tool Development: Collaborate with Product Marketing, Consumer Intelligence, and Market Intelligence teams to build new business intelligence tools and automation systems that combine diverse data sources into decision-making platforms.
  • Technical Expertise: Leverage SQL and Python to write ETL scripts and use visualization tools such as Tableau to communicate insights effectively.
  • KPI Governance: Assist in troubleshooting and defining the source of truth for KPIs and metrics, creating standardized definitions across the organization.
  • Executive Insight: Lead executive discussions by providing strategic insights and recommendations to support decision-making.
  • Analytical Frameworks: Develop advanced analytical frameworks and impact-driven deliverables to guide key business initiatives.
  • Strategic Planning: Facilitate the development of strategies for support groups based on executive guidance and corporate objectives.
  • Executive Communication: Manage executive communications by preparing best-in-class presentations and communication materials for top management.
  • Project Leadership: Lead and facilitate cross-divisional projects on key strategic issues as requested by senior management.
  • Business Case Development: Create business cases, financial analyses, and ROI assessments grounded in an understanding of company capabilities, financial principles, and strategic insights.
  • Data Strategy: Develop new frameworks and best practices to strategically utilize data for market assessments, demand forecasting, and long-term business planning.
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