Top 12 Innovation Manager Skills to Put on Your Resume
In today's rapidly evolving business landscape, Innovation Managers play a pivotal role in steering organizations towards growth and success. A well-crafted resume highlighting essential skills can significantly enhance your prospects by demonstrating your capability to foster innovation and drive strategic change.
Innovation Manager Skills
- Design Thinking
- Agile Methodology
- Lean Startup
- Scrum Management
- Ideation Techniques
- Prototyping Tools
- User Experience (UX)
- Data Analytics
- Artificial Intelligence
- Blockchain Technology
- Cloud Computing
- Intellectual Property
1. Design Thinking
Design Thinking is a human-centered, iterative problem-solving process used by Innovation Managers to create innovative solutions, involving empathy with users, ideation, prototyping, and testing.
Why It's Important
Design Thinking is crucial for an Innovation Manager as it offers a user-centered approach to problem-solving, ensuring solutions are innovative, feasible, and directly address users' needs, thereby enhancing the potential for success in new product or service development.
How to Improve Design Thinking Skills
Improving Design Thinking as an Innovation Manager involves a continuous process of learning, practice, and application of design principles to solve problems creatively and effectively. Here are concise steps to enhance your Design Thinking skills:
Empathize: Deeply understand the needs of those you're designing for. Engage in active listening and immersive experiences to gain insights. IDEO’s Field Guide to Human-Centered Design offers practical techniques for empathy work.
Define: Clearly articulate the problem you are trying to solve. Use insights gained during the empathize phase to formulate a meaningful and actionable problem statement. The Stanford d.school’s Bootleg Bootcamp provides tools for effective problem definition.
Ideate: Generate a wide range of ideas without judgment. Encourage divergent thinking before converging on the most promising solutions. Techniques for ideation can be found in the IDEO Design Thinking Toolkit.
Prototype: Build tangible representations of your ideas. Prototyping allows you to explore potential solutions and interact with them to gain feedback. Explore Adobe’s Prototyping Guide for insights on quick and effective prototyping.
Test: Validate your prototypes with real users, focusing on learning rather than success or failure. Iteratively refine your solution based on feedback. The Nielsen Norman Group offers guidance on effective testing and iteration.
Learn and Iterate: Use the insights gained through testing to refine your prototypes. Design Thinking is an iterative process; learn from each cycle to improve your solution.
Practice Collaborative Problem Solving: Foster a culture of collaboration within your team. The Collaboration Superpowers website provides tips on how to effectively collaborate in a team environment.
Stay Informed and Inspired: Continuously seek out new sources of inspiration and knowledge in the field of Design Thinking. Websites like TED Talks and InVision’s Blog offer a wealth of information and inspiration.
By actively engaging in these steps and utilizing the resources provided, you can enhance your Design Thinking skills and drive innovation within your organization.
How to Display Design Thinking Skills on Your Resume
2. Agile Methodology
Agile Methodology is a flexible, iterative approach to project management and product development that emphasizes collaboration, customer feedback, and rapid adaptation to change, aiming to deliver value to customers quickly and efficiently. For an Innovation Manager, it facilitates the swift response to market changes and fosters innovation through continuous improvement and stakeholder engagement.
Why It's Important
Agile methodology is crucial for an Innovation Manager because it allows for flexible and adaptive project management, enabling rapid response to changes, fostering a culture of continuous improvement, and ensuring a customer-centric approach to product development. This leads to faster delivery of innovative solutions and better alignment with market needs.
How to Improve Agile Methodology Skills
Improving Agile methodology, particularly from an Innovation Manager's perspective, involves refining processes to enhance efficiency, adaptability, and team collaboration. Here are concise strategies:
Continuous Learning and Adaptation: Promote ongoing education and flexibility within teams to adapt methodologies as needed. Atlassian's guide on Agile practices is an excellent resource for continuous learning.
Enhance Collaboration Tools: Utilize cutting-edge collaboration tools to enhance communication. Tools like Slack for communication and Trello for project management can streamline workflows.
Feedback Loops: Implement regular and constructive feedback loops with stakeholders and team members to continually refine processes. Harvard Business Review offers insights into effective feedback practices.
Foster a Culture of Innovation: Encourage experimentation and failure as part of the learning process. McKinsey provides strategies for fostering an innovative culture.
Agile Coaching and Mentoring: Invest in Agile coaching and mentoring to guide teams through the Agile transformation effectively. The International Consortium for Agile (ICAgile) offers resources and certifications for Agile coaching.
Metrics and Measurement: Define clear metrics to measure the success of Agile practices and make data-driven decisions for improvement. Scrum.org discusses ways to measure a team's agility.
Improving Agile methodology requires a commitment to ongoing learning, adaptation, and a culture that embraces change and innovation.
How to Display Agile Methodology Skills on Your Resume
3. Lean Startup
Lean Startup is a methodology for developing businesses and products, which aims to shorten product development cycles by adopting a combination of business-hypothesis-driven experimentation, iterative product releases, and validated learning. For an Innovation Manager, it provides a framework to quickly validate ideas and concepts, efficiently allocate resources, and iteratively improve products or services based on user feedback, ultimately minimizing the risk of failure.
Why It's Important
The Lean Startup methodology is important for an Innovation Manager because it focuses on efficiently developing products or services through validated learning, minimizing waste, and rapidly adapting to customer feedback, thereby reducing risks and costs associated with bringing new innovations to market.
How to Improve Lean Startup Skills
Improving Lean Startup methodology, especially from an Innovation Manager's perspective, involves focusing on rapid, iterative learning cycles, enhancing customer feedback mechanisms, and streamlining the product development process. Here are concise strategies with external resources:
Validated Learning: Prioritize learning over just building. Implement strategies for collecting actionable data that informs decision-making. The Lean Startup principles by Eric Ries emphasize this through the build-measure-learn feedback loop.
Customer Development: Engage with customers early and often to understand their needs and validate hypotheses. Steve Blank’s Customer Development Methodology complements Lean Startup by focusing on understanding customer problems and needs.
Agile Development: Adopt Agile methodologies to speed up development cycles and respond to customer feedback more effectively. The Agile Manifesto outlines principles that encourage adaptive planning and continuous improvement.
Innovation Accounting: Establish metrics that matter to track progress and make informed decisions. Ries discusses this in Lean Startup, focusing on actionable metrics over vanity ones.
Pivot or Persevere: Based on feedback and metrics, decide whether to pivot (change course) or persevere (stay the course). This decision-making framework is crucial for adapting to market needs.
Build-Measure-Learn: Implement tools and practices that facilitate rapid prototyping and testing of ideas. Tools like Lean Canvas help in visualizing assumptions and planning experiments.
Continuous Innovation: Foster a culture of continuous innovation within the organization. IDEO’s Design Thinking approach can inspire creative problem-solving and innovation.
For an Innovation Manager, integrating these strategies into the innovation process can enhance the effectiveness of the Lean Startup approach, ensuring products meet market needs while reducing waste and increasing efficiency.
How to Display Lean Startup Skills on Your Resume
4. Scrum Management
Scrum Management is an agile project management framework that facilitates teamwork, accountability, and iterative progress towards a well-defined goal. It structures the process of innovation through regular sprints, enabling an Innovation Manager to rapidly develop, test, and adapt products or solutions based on feedback and changing requirements.
Why It's Important
Scrum management is important for an Innovation Manager because it fosters a flexible and iterative approach to product development, enabling rapid adaptation to change, efficient problem-solving, and continuous improvement, crucial for driving innovation and achieving competitive advantage.
How to Improve Scrum Management Skills
Improving Scrum Management, particularly from an Innovation Manager's perspective, involves enhancing collaboration, streamlining processes, and fostering an environment that champions agile principles for better product development and innovation.
Embrace Continuous Learning: Foster a culture of continuous improvement and learning within your team. Encourage participation in Scrum training and certifications to deepen understanding and skills. Scrum.org offers various resources and courses for team members at all levels.
Refine the Product Backlog: Ensure the product backlog is well-organized, prioritized, and transparent. This clarity helps in aligning the team's efforts with the organization's innovation goals. The Agile Alliance provides insights into effective backlog refinement practices.
Strengthen Scrum Ceremonies: Maximize the value of Scrum ceremonies (Sprint Planning, Daily Stand-ups, Sprint Review, and Retrospective) by ensuring they are purposeful and efficiently conducted. The Mountain Goat Software blog offers practical tips for enhancing these meetings.
Promote Cross-Functional Collaboration: Encourage collaboration between different functions and teams to foster innovation and address complex challenges more effectively. This approach aligns with Scrum's emphasis on teamwork. Forbes discusses the importance of cross-functional teams in driving innovation.
Implement Agile Tools: Utilize agile project management tools (e.g., Jira, Trello, Asana) to streamline workflows, enhance communication, and provide real-time visibility into the project's progress. Capterra offers comparisons of popular agile tools to find the best fit for your team.
Foster a Safe-to-Fail Environment: Promote an organizational culture that views failure as a learning opportunity, encouraging innovation and risk-taking. This mindset is crucial for agile and innovation-driven teams. Harvard Business Review discusses strategies for learning from failure.
By focusing on these areas, an Innovation Manager can significantly improve Scrum management, leading to more effective innovation processes and outcomes.
How to Display Scrum Management Skills on Your Resume
5. Ideation Techniques
Ideation techniques are structured approaches used by Innovation Managers to generate, develop, and communicate new ideas. These methods facilitate creative thinking, encourage collaboration, and help in identifying innovative solutions to problems or opportunities for growth. Examples include brainstorming, mind mapping, and SCAMPER.
Why It's Important
Ideation techniques are crucial for an Innovation Manager as they systematically generate diverse and creative ideas, fostering innovation, solving complex problems, and identifying new opportunities for growth and improvement within an organization.
How to Improve Ideation Techniques Skills
Improving ideation techniques as an Innovation Manager involves fostering a culture that encourages creativity, leveraging diverse thinking, and implementing structured methods to generate and refine ideas. Here are concise strategies with relevant resources:
Encourage Diverse Thinking: Assemble teams with varied backgrounds to enhance perspective diversity. Harvard Business Review discusses the importance of cognitive diversity in problem-solving.
Brainstorming Sessions: Regular, well-structured brainstorming sessions can spark creativity. Ensure a non-judgmental environment and use techniques like brainwriting for introverts. MindTools provides an overview of effective brainstorming.
Design Thinking: Adopt the design thinking process to empathize with users, define problems, ideate, prototype, and test solutions. IDEO offers resources and courses on design thinking.
SCAMPER Technique: Use SCAMPER (Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, Reverse) to modify existing ideas or products into something new. MindTools explains SCAMPER in detail.
Idea Management Software: Implement idea management tools to capture, evaluate, and track ideas across your organization. G2 provides a list of top idea management software.
Trend Watching: Stay ahead by monitoring and analyzing trends within your industry. TrendWatching offers insights into the latest global trends.
Customer Feedback Loops: Incorporate customer feedback early and often to ensure ideas meet market needs. HubSpot shares strategies for gathering and implementing customer feedback.
Prototyping and Testing: Quickly prototype ideas and test them with real users to gather feedback and iterate. Adobe’s guide to prototyping provides a comprehensive look at prototyping techniques.
By integrating these techniques and fostering an open, innovative culture, Innovation Managers can significantly improve the ideation process within their organizations.
How to Display Ideation Techniques Skills on Your Resume
6. Prototyping Tools
Prototyping tools are software applications that enable innovation managers to quickly create, test, and iterate designs for products, services, or features, facilitating the exploration of ideas and refinement of concepts before committing to full-scale development.
Why It's Important
Prototyping tools are crucial for an Innovation Manager as they enable rapid iteration and testing of ideas, allowing for effective communication, validation, and refinement of concepts before committing significant resources to development. This approach reduces risk and ensures alignment with user needs and business goals.
How to Improve Prototyping Tools Skills
Improving prototyping tools involves enhancing usability, functionality, and integration capabilities to foster innovation and streamline product development. As an Innovation Manager, consider the following strategies:
User Feedback Incorporation: Continuously gather and integrate user feedback to ensure the tool meets the evolving needs of designers and developers. Tools like UserVoice can facilitate this process.
Enhance Collaboration Features: Foster teamwork by improving real-time collaboration features, akin to what Figma offers, allowing multiple users to work on a prototype simultaneously.
Integrate with Other Tools: Ensure seamless integration with other design and development tools to streamline workflows. Zapier is an example of a platform that can connect different apps and services.
Expand Prototyping Fidelity: Offer a range from low to high-fidelity prototyping options to cater to different stages of the design process. Tools like Adobe XD provide versatility in fidelity.
Incorporate User Testing Features: Embed user testing capabilities within the tool to facilitate rapid iteration based on real user interactions. Lookback provides excellent user testing features.
Improve Accessibility and Inclusion: Ensure the tool supports accessible design practices and consider inclusion from the outset. The Web Accessibility Initiative offers guidelines and tools for accessibility evaluation.
Offer Comprehensive Learning Resources: Provide a wealth of tutorials, guides, and community forums to help new users learn and experienced users master the tool. Sketch has a great resource library.
By focusing on these areas, you can significantly improve the effectiveness and efficiency of prototyping tools, thereby accelerating innovation and product development cycles.
How to Display Prototyping Tools Skills on Your Resume
7. User Experience (UX)
User Experience (UX) refers to the overall experience a person has when interacting with a product, system, or service, focusing on optimizing usability, accessibility, and satisfaction. For an Innovation Manager, UX is critical in ensuring products meet and exceed user needs and expectations, driving user adoption, loyalty, and market success.
Why It's Important
User Experience (UX) is crucial because it directly influences customer satisfaction, engagement, and loyalty, significantly impacting a product's success and the company's bottom line. For an Innovation Manager, focusing on UX is essential to ensure that new products meet or exceed user expectations, fostering innovation that resonates with the target audience and drives competitive advantage.
How to Improve User Experience (UX) Skills
Improving User Experience (UX) as an Innovation Manager involves understanding user needs, simplifying interactions, and continuously optimizing the product based on feedback. Here are concise strategies:
Research & Understand Your Users: Begin with user research to understand their needs, preferences, and pain points. Tools like personas and journey mapping can help.
Iterative Design & Testing: Adopt an agile design process that allows for iterative testing and refinement. Use prototypes to gather user feedback early and often.
Simplify Interactions: Focus on simplifying user interactions with your product. Each interaction should be intuitive and require minimal effort from the user.
Accessibility: Ensure your product is accessible to all users, including those with disabilities. Web Content Accessibility Guidelines (WCAG) provide a good framework for making your digital products accessible.
Performance Optimization: Users expect fast, responsive interactions. Regularly analyze and optimize your product’s performance to meet these expectations.
Feedback Loops: Establish strong feedback loops through surveys, user testing, and analytics. Tools like UserTesting and Hotjar can provide valuable insights into user behavior and satisfaction.
Collaboration Across Teams: Foster collaboration between designers, developers, and product managers to ensure a cohesive user experience. Collaborative tools like InVision can facilitate this process.
By focusing on these key areas, an Innovation Manager can significantly enhance the UX, leading to higher user satisfaction and engagement.
How to Display User Experience (UX) Skills on Your Resume
8. Data Analytics
Data analytics involves examining raw data to draw conclusions, identify trends, and support decision-making, which is crucial for an Innovation Manager in developing new strategies and improving processes.
Why It's Important
Data analytics is crucial for an Innovation Manager as it enables informed decision-making by uncovering trends, measuring performance, and identifying opportunities for innovation, thus driving business growth and competitive advantage.
How to Improve Data Analytics Skills
Improving data analytics involves a strategic approach that focuses on enhancing data quality, leveraging advanced tools, and fostering a data-driven culture. Here are key steps tailored for an Innovation Manager:
Enhance Data Quality: Ensure the data you analyze is accurate and relevant. Implement data cleaning processes and validate data sources regularly. Data Quality Management offers insights on maintaining high standards.
Leverage Advanced Tools: Utilize cutting-edge analytics tools that incorporate AI and machine learning for deeper insights. Explore tools like Tableau for visualization and Python for data manipulation and analysis.
Foster a Data-Driven Culture: Encourage decision-making based on data insights across the organization. This involves training teams and promoting the use of data in daily operations. MIT Sloan provides strategies for building such a culture.
Continuous Learning and Development: Stay updated with the latest trends and technologies in data analytics. Platforms like Coursera offer courses on data analytics and its applications.
Collaborate and Share Insights: Promote collaboration within and outside the organization. Sharing insights can lead to innovation and enhanced problem-solving. Check out Microsoft Power BI for collaborative data sharing and visualization.
By focusing on these key areas, an Innovation Manager can significantly improve data analytics capabilities within their organization, driving innovation and informed decision-making.
How to Display Data Analytics Skills on Your Resume
9. Artificial Intelligence
Artificial Intelligence (AI) is the development of computer systems that can perform tasks typically requiring human intelligence, including decision-making, pattern recognition, and language understanding, to drive innovation and efficiency in businesses.
Why It's Important
Artificial Intelligence (AI) is crucial for an Innovation Manager as it drives efficiency, enhances decision-making, fosters product and service innovation, and enables the identification of new market opportunities, thereby maintaining competitive advantage in a rapidly evolving business landscape.
How to Improve Artificial Intelligence Skills
To improve Artificial Intelligence (AI), an Innovation Manager should focus on the following key strategies:
Data Quality Improvement: Enhance the quality and diversity of data used for training AI models. High-quality data is crucial for the development of accurate and reliable AI systems. MIT Technology Review provides insights on the importance of data quality in AI.
Algorithmic Innovation: Stay abreast of the latest algorithmic advancements and incorporate cutting-edge research into your AI systems. Exploring new algorithmic techniques can significantly boost performance. The arXiv is a free distribution service and an open-access archive for scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, and statistics, including AI and machine learning.
Cross-disciplinary Collaboration: Foster collaboration between experts from different fields (e.g., data science, cognitive science, ethics) to bring diverse perspectives to AI development. This interdisciplinary approach can lead to more innovative and holistic AI solutions. Harvard Business Review discusses the importance of ethical considerations and interdisciplinary collaboration in AI.
Ethical AI Practices: Implement ethical guidelines and practices in AI development to ensure AI systems are fair, transparent, and accountable. Ethical AI can boost public trust and acceptance. The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems offers comprehensive guidelines and resources for ethical AI development.
Continuous Learning and Adaptation: Develop AI systems that can learn and adapt over time to maintain relevance and effectiveness in changing environments. This involves incorporating feedback loops and allowing AI systems to evolve. Nature provides insights into AI systems' ability to learn and adapt.
Invest in Talent and Training: Building a team of skilled AI professionals and continuously investing in their training is crucial for innovation in AI. Staying updated with the latest AI trends and technologies is key. Coursera and edX offer courses on AI and machine learning from top universities and institutions.
By focusing on these strategies, an Innovation Manager can significantly contribute to the advancement and improvement of AI technologies.
How to Display Artificial Intelligence Skills on Your Resume
10. Blockchain Technology
Blockchain technology is a decentralized, distributed ledger system that securely records transactions across multiple computers, ensuring transparency, immutability, and tamper-proof data, facilitating trustless exchanges in a network. This technology underpins cryptocurrencies like Bitcoin and has wide applications in various fields including supply chain, finance, and digital identity management.
Why It's Important
Blockchain technology is important because it enables secure, transparent, and tamper-proof transactions, fostering trust in digital interactions without the need for intermediaries. This decentralized approach can significantly reduce costs, enhance efficiency, and open new avenues for innovation across various industries, making it a critical tool for Innovation Managers seeking to drive transformative change and create competitive advantages in their organizations.
How to Improve Blockchain Technology Skills
Improving blockchain technology involves enhancing its scalability, security, interoperability, and user experience. Here are concise strategies tailored for an Innovation Manager:
Enhance Scalability: Implement Layer 2 solutions like Lightning Network for Bitcoin or Plasma and Sharding for Ethereum to process transactions off the main chain, reducing congestion and fees.
Boost Security: Adopt advanced cryptographic techniques such as Zero-Knowledge Proofs to enhance privacy without compromising security. Regularly audit smart contracts and blockchain infrastructure with tools like MythX for Ethereum.
Improve Interoperability: Work on cross-chain communication protocols like Cosmos and Polkadot that enable different blockchains to interact seamlessly, broadening the ecosystem's capabilities.
User Experience (UX): Simplify user interfaces and improve the onboarding process for blockchain applications. Implementing wallet solutions like MetaMask that bridge the gap between web applications and blockchain networks can significantly enhance UX.
Regulatory Compliance: Engage with regulatory bodies to ensure blockchain innovations comply with legal frameworks. Tools like Chainalysis provide compliance software to analyze blockchain transactions.
Sustainability: Address the environmental impact by transitioning to more energy-efficient consensus mechanisms like Proof of Stake (PoS), as seen with Ethereum 2.0.
By focusing on these areas, an Innovation Manager can drive the advancement of blockchain technology, making it more accessible, efficient, and valuable to a broader audience.
How to Display Blockchain Technology Skills on Your Resume
11. Cloud Computing
Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale. It enables businesses to avoid upfront infrastructure costs and focus on projects that differentiate their businesses instead of infrastructure.
Why It's Important
Cloud computing is crucial for an Innovation Manager because it offers scalable resources for rapid experimentation and deployment, reduces infrastructure costs, and fosters collaboration across teams, thereby accelerating innovation cycles and improving market responsiveness.
How to Improve Cloud Computing Skills
Improving cloud computing involves enhancing efficiency, security, scalability, and user experience. As an Innovation Manager, focusing on the following strategies can lead to significant advancements:
Adopt Multi-Cloud Strategies: Increasing flexibility and preventing vendor lock-in by leveraging multiple cloud services. IBM offers insights on multi-cloud benefits and management.
Implement AI and Machine Learning: AI and ML can optimize cloud computing by improving data analysis, automating tasks, and enhancing security measures. Oracle provides a comprehensive guide on leveraging AI in the cloud.
Focus on Edge Computing: Complement cloud computing by processing data closer to its source, reducing latency, and improving speed. HPE discusses edge computing solutions and its integration with cloud environments.
Enhance Cloud Security: Prioritize security measures, including encryption, access controls, and regular audits. Microsoft Azure outlines best practices for securing cloud data and applications.
Invest in Serverless Architectures: Reduce the need for managing infrastructure, allowing developers to focus on coding. AWS Lambda exemplifies how serverless computing can streamline deployment and scaling.
Sustainability in Cloud Computing: Innovate towards greener cloud computing by optimizing resource usage and preferring eco-friendly data centers. Google Cloud highlights efforts in sustainable cloud computing.
By focusing on these areas, Innovation Managers can guide their teams toward cutting-edge cloud solutions that are efficient, secure, and scalable, while also being mindful of environmental impacts.
How to Display Cloud Computing Skills on Your Resume
12. Intellectual Property
Intellectual Property (IP) refers to creations of the mind, such as inventions, literary and artistic works, designs, symbols, names, and images used in commerce. For an Innovation Manager, IP is a critical asset that protects and monetizes the innovative outcomes of the organization.
Why It's Important
Intellectual Property (IP) is crucial for an Innovation Manager as it protects creative inventions and proprietary knowledge, ensuring a competitive edge, fostering innovation, and providing a legal framework for monetizing and licensing new ideas.
How to Improve Intellectual Property Skills
Improving Intellectual Property (IP) management as an Innovation Manager involves several strategies aimed at maximizing the value and protection of the organization's intellectual assets. Here are concise steps:
Conduct Regular IP Audits: Regularly review and assess the company's IP assets to ensure they are fully protected and leveraged. World Intellectual Property Organization (WIPO) provides a detailed guide on conducting IP audits.
Educate Your Team: Ensure all team members understand the importance of IP and how to protect it. European Union Intellectual Property Office (EUIPO) offers online learning opportunities on IP.
Implement a Robust IP Strategy: Develop a clear strategy that aligns with your business goals, including acquisition, protection, and exploitation of IP. Intellectual Property Office (UK) provides an overview of intellectual property strategy.
Engage in IP Monitoring: Regularly monitor the market for potential infringements of your IP to take timely action. Tools like Google Patents can help in searching and monitoring patents.
Foster Innovation Culture: Encourage creativity and innovation within your organization by recognizing and rewarding contributions to the IP portfolio.
Collaborate Wisely: When working with external parties, ensure proper agreements are in place to protect your IP. The World Trade Organization (WTO) offers insights on IP and how it relates to trade.
Seek Professional Advice: Regularly consult with IP professionals or attorneys to stay updated on best practices and changes in IP law. American Intellectual Property Law Association (AIPLA) is a resource for finding IP law professionals.
Implementing these steps will help in effectively managing and improving your organization's Intellectual Property assets.
How to Display Intellectual Property Skills on Your Resume
