Senior Manager - Product Intelligence & Strategic Insights

Job summary

The Senior Manager is responsible for transforming complex product, customer, and operational data into actionable business insights to support strategic decision-making. They will lead executive reporting, develop evidence-based narratives for leadership, and manage data engineering and analytical processes.

Job details

AVEVA is creating software trusted by over 90% of leading industrial companies. Salary Range: This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. The Senior Manager - Product Intelligence and strategic insights is responsible for transforming complex product, customer, commercial and operational data into actionable business insights that support strategic decision making across the organisation. The role goes beyond the creation of dashboards and reports, providing meaningful interpretation of performance trends, identifying underlying business drivers and developing evidence-based narratives for Quarterly Business Reviews (QBRs), Quarterly Sales Reviews (QSRs), board presentations and executive leadership reporting. Working closely with Product Management, Finance, Sales, Customer Success and senior leadership, the role connects product performance insights aligned with organisational strategy, commercial priorities and long-term business objectives. The position combines strategic analytical leadership with hands-on expertise in data engineering, business intelligence and reporting, ensuring that insights are supported by accurate, integrated and reliable data. Key Responsibilities: Strategic Insights and Business Commentary Analyze product, customer, revenue, and operational performance to identify trends, risks, and opportunities. Explain key business changes, their impact, and alignment to strategic objectives. Translate complex analysis into clear recommendations for senior leaders. Proactively identify emerging business risks and growth opportunities. Executive Reporting and Strategic Storytelling Own executive reporting and insights for QBRs, board reviews, and leadership updates. Convert complex data into concise, commercially relevant narratives. Highlight key performance movements, business implications, and recommended actions. Ensure consistent reporting across product, customer, and financial performance. Product Intelligence and Post-Sales Performance Monitor adoption, usage, retention, customer health, and consumption trends. Assess product performance, revenue growth, and operational efficiency. Track progress against product investments and strategic objectives. Evaluate product launches, customer acquisition, and SaaS transition outcomes. Data Engineering, Analytics, and Reporting Build and maintain data pipelines, analytical models, and reporting solutions. Integrate data from CRM, finance, and cloud platforms. Develop dashboards and insights using SQL, Python, Power BI, and cloud technologies. Ensure data quality, governance, KPI consistency, and reporting accuracy. Automate reporting processes to improve efficiency and scalability. Business Strategy and Stakeholder Engagement Understand business strategy, product roadmaps, and commercial priorities. Partner with cross-functional teams to align performance insights with business goals. Influence strategic decisions through data-driven recommendations and commercial insight. Analytical Leadership and Continuous Improvement Establish best practices in analytics, reporting, and data storytelling. Mentor analysts and data engineers to deliver high-quality insights. Promote a culture of data-driven decision-making and continuous improvement. Drive enhancements in automation, analytics capabilities, and insight accessibility. Stay current with emerging technologies, including AI-driven analytics and predictive modeling. Required Skills & Experience Business Analysis – Translate complex data into actionable business insights. Executive Communication – Create executive presentations, board-level reporting, and performance reviews. Commercial & Product Analytics – Analyze SaaS metrics, product adoption, retention, customer health, and revenue performance. Data Engineering – Hands-on experience with Azure Synapse, SQL, Python, ETL/ELT, and data modeling. Business Intelligence – Advanced Tableau and Power BI skills, including dashboards and data visualization. Stakeholder Leadership – Partner with senior leaders, influence decisions, and guide analytical priorities. Analytical Judgment – Distinguish facts, hypotheses, and business drivers to support sound decision-making. Strategic Thinking – Aligns insights with business objectives and long-term priorities. Stakeholder Influence – Builds credibility and drives decisions through data-backed recommendations. Execution Excellence – Manages competing priorities and delivers accurate, actionable insights. Business Partnership – Enables cross-functional collaboration and informed decision-making. Forward-Thinking Mindset – Anticipates trends, risks, and opportunities to support strategic growth. USA Benefits include: Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K. It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. Hiring process Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out more: aveva.com/en/about/careers/hiring-process About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

What you’ll do

The Senior Manager is responsible for transforming complex product, customer, and operational data into actionable business insights to support strategic decision-making. They will lead executive reporting, develop evidence-based narratives for leadership, and manage data engineering and analytical processes.

Requirements

The role requires hands-on expertise in data engineering, business intelligence, and advanced analytical skills including SQL, Python, and Power BI. Candidates must possess strong executive communication abilities and experience in SaaS metrics, product performance analysis, and stakeholder management.

Benefits

• Flex work hours
• Paid time off
• Volunteering days
• Parental leave
• Well-being support
• Medical insurance
• Dental insurance
• Vision insurance
• 401k

Listed skills

• Business analysis · Preferred
• SQL · Preferred
• Python · Preferred
• Tableau · Preferred
• Power BI · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Business analysis
• Executive communication
• Commercial analytics
• Product analytics
• SaaS metrics
• Data engineering
• Azure Synapse
• SQL
• Python
• ETL/ELT
• Data modeling
• Business intelligence
• Tableau
• Power BI
• Stakeholder leadership
• Strategic thinking
• SQL (Programming Language)
• Data Visualization
• Business Intelligence
• Extract Transform Load (ETL)
• Performance Review
• Dashboard
• Presentations
• Communication
• Data Engineering
• Data Modeling
• Key Performance Indicators (KPIs)
• Governance
• Operations
• Software As A Service (SaaS)
• Strategic Objectives
• Business Analysis
• Influencing Skills
• Strategic Thinking
• Business Strategies
• Leadership
• Decision Making
• Continuous Improvement Process
• Data Pipelines
• Business Risk Management
• Data Quality
• Data-Driven Decision Making
• Revenue Growth
• Customer Relationship Management
• Stakeholder Engagement
• Finance
• Sales
• Python (Programming Language)
• Customer Success Management
• Business Objectives

Job areas

• Data & Analytics
• Management & Leadership
• Software
• Technology
• Energy
• Strategic Intelligence Analyst
• Operations Manager (General)
• Policy and Planning Managers
• General and Operations Managers

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