Define the vision and strategy for the intelligent teardown analytics product, aligning with business goals and industry needs.
Continuously monitor market trends, competitor products, and advancements in automation and analytics technologies to identify opportunities for product enhancement.
2. Product Ownership
Act as the primary owner of the product backlog, ensuring it is well-groomed and prioritized based on business value and technical feasibility.
Collaborate with stakeholders, including engineering, design, sales, and data science teams, to translate customer needs into actionable product requirements.
Develop and maintain detailed product roadmaps, outlining key milestones and deliverables.
3. Intelligent Data Capture
Design and oversee the integration of automated systems for capturing teardown data efficiently and accurately.
Define technical requirements for implementing advanced technologies such as machine vision, IoT sensors, and robotics in the teardown process.
4. Analytics and Insights Development
Define requirements for advanced analytics features, including:
Comparative analysis of vehicle components.
Identification of cost, weight, and performance optimization opportunities.
Predictive models for design improvements.
Ensure seamless integration with data visualization and reporting tools to present actionable insights to stakeholders.
5. Cross-Functional Collaboration
Work closely with engineering teams to define and validate technical solutions.
Partner with business teams to understand customer needs and ensure solutions meet or exceed expectations.
Collaborate with Development teams to review support the execution of deliver
Collaborate with data science teams to develop machine learning models and algorithms for advanced insights.
6. Quality Assurance and Delivery
Define acceptance criteria for all features and work with QA teams to ensure high-quality deliverables.
Lead product launches, including documentation, training, and post-launch support.
7. Stakeholder Communication
Regularly communicate progress, updates, and key decisions to stakeholders at all levels of the organization.
Gather and incorporate feedback to continuously improve the product.
Key Requirements:
Experience:
10+ years of experience as a Product Owner/Manager or similar role, preferably in the automotive, manufacturing, or analytics domain.
Strong background in intelligent automation, data analytics, or related technologies.
Experience working with technologies like machine vision, or robotics for process automation.
Technical Knowledge:
Familiarity with data platforms and tools for analytics and reporting (e.g., Tableau, Power BI).
Knowledge of software development processes and frameworks such as Agile or Scrum.
Understanding of vehicle teardown processes, BOM management, and component-level analysis.
Skills:
Strong ability to capture, analyze, and translate complex customer needs into actionable requirements.
Excellent project management skills, with a track record of delivering products on time and within scope.