Software Product Manager - Advanced Analytics

Job Purpose

As a Software Product Manager – Advanced Analytics, you will play a pivotal role in bridging technical development and business needs to drive the development of impactful data and analytics software products (including those incorporating ML and AI). You will translate complex user needs, strategic business goals, and emerging market opportunities into scalable, innovative product solutions that deliver real value. Working closely with engineering, design, data, and business stakeholders, you’ll shape product roadmap, define clear priorities, and guide execution. Your work will directly influence how technology solves real-world challenges in high-impact domains. 

Job Description

• Collaborate with the Software Services leadership team to develop and refine data analytics product strategy aligned with business objectives and market needs.
• Create and maintain an advanced analytics product roadmap, prioritizing features based on business and customer feedback as well as market trends.
• Organize, create, and manage the agile backlog: prioritize tickets, structure backlog, and define success metrics in alignment with the prioritized roadmap.
• Communicate effectively with internal stakeholders to ensure alignment on product development plans.
• Engage with customers, industry bodies, and technology providers to gather feedback and validate new and emerging product enhancements.
• Deliver on key performance indicators.
• Conduct regular competitive analysis to understand market dynamics.
• Collaborate with cross-functional teams to ensure organizational alignment.
• Drive continuous improvement initiatives to enhance product quality and operational efficiency.

Qualifications

Required Knowledge/Formal Education

• Bachelor’s degree in a relevant field such as Computer Science, Business Administration, or a related discipline.

Required Experience

• 3+ years of experience in data analytics product management roles, preferably in the B2B SaaS industry with a focus on industrial applications.
• Strong understanding of industrial data analytics (including AI & ML) and related technologies, with practical exposure preferred.
• Proven track record of successfully leading analytics software development projects.
• Demonstrated ability to analyze business and customer needs, as well as market trends, to drive product innovation.

Required Interpersonal Skills

• Exceptional communication and interpersonal skills for effective collaboration with cross-functional teams and stakeholders.
• Adaptability to thrive in a fast-paced, dynamic environment.
• Low ego, high ownership.

Required Technical and Problem-Solving Skills

• Data Analytics / AI / ML Roadmap Planning: Ability to develop analytics product roadmaps aligned with short and long-term business strategy.
• Effective Communication: Clearly convey ideas, gather feedback, and collaborate with stakeholders to ensure alignment and drive product success.
• Product Intuition: Strong product judgment to make thoughtful trade-offs when limited data is available.
• Customer-Centric Approach: Empathize with customer needs and preferences to develop valuable product features.
• Enhance Usability: Improve user experience and mobile functionality through intuitive navigation and consistent design patterns.

Required Job Knowledge

• Proficiency in industrial data analytics concepts, tools, and technologies.
• Understanding of product management frameworks and best practices.
• Knowledge of software development methodologies such as Agile or Scrum.
• Deep understanding of SaaS business models and subscription-based revenue streams.
• Familiarity with B2B sales dynamics and customer relationship management.
• Awareness of market trends, competitive landscape, and emerging technologies in the industrial data analytics space.
• Strong project management skills, including task prioritization and managing multiple initiatives simultaneously.

Nice to Have

• Startup or innovation lab experience
• Experience integrating with engineering tools/software (e.g., Finite Element Analysis), OT systems (e.g., SCADA)
• Familiarity with ESG and sustainability technologies
• Exposure to AI/ML concepts

Skills