WHAT DOES A BUSINESS INTELLIGENCE MANAGER DO?
Reviewed under Editorial Standards by Lam Nguyen

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.
Editorial Process

Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.

Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.

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