Senior Product Manager – Sales Analytics & Dashboards

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Title: Senior Product Manager – Sales Dashboard & Analytics

Experience: 10 Years

We are looking for a Senior Product Manager – Sales Dashboard & Analytics to lead the strategy, design, and delivery of executive-level sales dashboards. This role will partner closely with Sales Leadership, RevOps, and cross-functional teams to build impactful, data-driven solutions that enhance decision-making and sales performance.

Role Overview:

As a key product leader, you will own the end-to-end roadmap for sales analytics and dashboards. You’ll work directly with stakeholders to identify reporting needs, uncover gaps, and deliver scalable, insight-driven dashboards—enhanced with AI capabilities for smarter forecasting and pipeline visibility.

Key Responsibilities:

Stakeholder Engagement & Discovery

• Partner with Sales Leadership, CRO org, RevOps, and Product teams
• Conduct interviews, surveys, and workshops to gather requirements
• Translate business needs into a clear dashboard strategy and roadmap
• Drive alignment across sales teams and product lines

Dashboard Strategy & Gap Analysis

• Evaluate existing reporting and dashboards
• Identify gaps, inefficiencies, and inconsistencies
• Design role-based dashboards for executives, managers, and reps
• Define a scalable and standardized reporting framework

Sales Metrics & Reporting

Build dashboards covering:

• Pipeline health and coverage
• Funnel conversion and stage analysis
• Forecast vs. actuals
• ARR / Bookings / ACV trends
• Win/Loss and deal analysis
• Sales cycle and deal velocity
• Product and segment performance
• Expansion, renewal, and churn metrics

Product Ownership

• Own dashboard product roadmap and execution
• Convert requirements into user stories and specs
• Collaborate with Data Engineering and BI teams
• Ensure dashboards are actionable and executive-ready

AI & Advanced Analytics

• Introduce AI-driven insights and predictive analytics
• Enable use cases such as:
• Pipeline risk scoring
• Forecast predictions
• Deal slippage detection
• Opportunity prioritization
• Next best action recommendations

Adoption & Change Management

• Drive adoption across sales teams and leadership
• Conduct demos and executive presentations
• Continuously improve dashboards based on feedback
• Reduce manual reporting and accelerate decision-making

Required Experience

• 10 years in Product Management, Sales Analytics, or BI roles
• Experience working with Sales Leadership and executive stakeholders
• Strong expertise in sales KPIs within product companies
• Hands-on experience with stakeholder discovery and workshops
• Proven track record in building executive-level dashboards
• Experience with tools like Tableau, Power BI, Looker, or Salesforce
• Strong understanding of SaaS sales metrics

Preferred Qualifications

• Experience in B2B SaaS environments
• Familiarity with Salesforce data models
• Exposure to AI/predictive analytics in sales
• Experience with large-scale sales organizations
• Working knowledge of SQL, Databricks, or modern data stacks

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.