Predictive Maintenance Product Manager (IC) Lead or Principle - job 1 of 2

Predictive Maintenance Product Manager (IC) Lead or Principle

Company:

Boeing Vancouver

Boeing Vancouver is seeking a highly skilled and knowledgeable Predictive Maintenance Product Manager (IC) Lead or Principle to join our team in the Richmond, BC Canada location.

As our Predictive Maintenance Manager (IC) Lead or Principle, you will be responsible for overseeing the development and success of our predictive maintenance solution strategy, products and services. Your role will involve a deep understanding of our target users/customers, data analysis, industry trends, business operations, and product functionality.

You will collaborate with various stakeholders, including engineers, designers, and senior leadership, to ensure seamless integration and optimization of our offer within the market.

Position Responsibilities:

Offer Knowledge:

• Become an acknowledged expert on our target users/customers, understanding their needs and pain points.

• Utilize various data tools to analyze and gain insights into how our products and services are used by users.

• Stay updated on industry and technology trends, competitive landscape, and relevant domain knowledge.

• Articulate integration points and upsell paths with other offers, ensuring a comprehensive understanding of the broader customer and industry ecosystem.

• Demonstrate a strong understanding of our business dimensions, including marketing, sales, finance, services, legal, compliance, and privacy.

• Comprehend pricing models and compare our offer to top competitors, ensuring a competitive advantage.

Process Skills and Techniques:

• Employ effective discovery techniques to identify and address product and service risks (value, usability, feasibility, business viability).

• Proactively tackle risks upfront, iteratively learning through experiments and prototypes.

• Solve problems collaboratively, focusing on outcomes and utilizing both qualitative and quantitative techniques.

• Define and communicate our predictive maintenance strategy effectively.

• Actively listen to discover unmet needs and pain points that may not be explicitly stated.

• Utilize optimization techniques to improve and refine products rapidly once they are live and in production.

• Understand responsibilities to engineers/developers, consultants, sales, product marketing team members and other key team members and stakeholders.

• Effectively manage priorities and maintain the holistic predictive maintenance roadmap.

• Demonstrate a solid understanding of the broader product development process, including discovery and delivery.

People Skills and Responsibilities:

• Foster a collaborative relationship with engineers/developers and designers, involving them early in the process and providing direct access to customers.

• Leverage the skills and expertise of the team effectively.

• Collaborate with stakeholders across the company, establishing mutual respect and trust.

• Act as a true partner committed to the business success of stakeholders.

• Effectively share the offer vision and strategy, motivating and inspiring the product team and stakeholders.

• Demonstrate leadership skills by effectively communicating and motivating the team and stakeholders, especially in stressful situations.

Performance Metrics:

• User and Customer Satisfaction: Measure the satisfaction levels of target users and customers through surveys, customer health feedback, and ratings to assess the effectiveness of the Product Manager in meeting their needs and expectations.

• Offer Performance Metrics: Track key metrics such as revenue growth, market share, customer acquisition and retention rates, and profitability to evaluate the success of the offers managed by the Product Manager.

• Product Adoption and Usage: Monitor the adoption rate and usage patterns of the products and services to determine if the Product Manager has effectively positioned and promoted them to target users and customers.

• Cross-Sell and Upsell Opportunities: Measure the success of integration points and upsell paths with other offers by tracking the conversion rates and revenue generated from cross-selling and upselling activities facilitated by the Product Manager.

• Stakeholder Satisfaction: Assess the satisfaction levels of stakeholders, including engineers/developers, designers, and senior leadership, to gauge the Product Manager's ability to collaborate effectively and establish mutual respect and trust.

• Time-to-Market: Evaluate the speed and efficiency with which new products and features are delivered to the market, with evidence of product-market fit, measuring the Product Manager's effectiveness in product discovery, managing priorities, maintaining the roadmap, and supporting the development and delivery process.

• Leadership and Team Performance: Assess the Product Manager's ability to inspire and motivate the cross-functional product team and stakeholders by monitoring team dynamics, employee engagement, and the overall success of the team's projects and initiatives.

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

• Proven experience as a product manager or similar role in the software industry.

• Demonstrated experience in product discovery techniques, reducing key go-to-market risks, and learning through iterative experimenting.

• Experience with data analytics or Artificial Intelligence (AI) / Machine Learning (ML) based products. 

• Familiarity with business dimensions such as marketing, sales, finance, services, legal, compliance, and privacy.

• Proficiency in product operational knowledge, including the ability to demo, train, and handle customer support inquiries.

• Understanding of technologies powering the offer and emerging technologies in the industry.

• Familiarity with data science analysis and techniques.

• Excellent problem-solving and communication skills.

• Ability to collaborate effectively with engineers, designers, and stakeholders.

• Demonstrated leadership skills and the ability to inspire and motivate others.

• Experience crafting and developing strategy plans.

• Must be legally able to work in Canada.

• Individuals must not pose a risk for safeguarding of controlled goods.

• Must be eligible to handle US export-controlled data.

Preferred Qualifications (Desired Skills/Experience):

• Knowledge of predictive maintenance a plus.

Additional Information:

This requisition is for a locally hired position in Canada. The employer is Boeing Canada. Candidates must be legally authorized to work in Canada. Benefits and pay are determined by Canada and are not on Boeing US-based payroll. This is not an expatriate assignment.

Starting salary will be based on year of post-secondary education completed, qualifications and experience.

Salary pays range:

Level 5: CAD 112,000.00 – 200,000.00

Level 6: CAD 135,000.00 – 240,000.00

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

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