Director Product Management for Analytics and Machine Learning

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Director of Product Management for Analytics and Machine Learning
Company Summary:
Looking for more than just a job? We like developing our people just as much as we like developing great products.
Ivanti is a global leader in IT systems and security management, service management, asset management, and mobility management solutions. Ivanti, created in January 2017 after a merger of HEAT Software and LANDESK, has been around for over 30 years but is experiencing significant growth worldwide. The company has received numerous awards for being a Top Place to Work, as well as many accolades for the products it develops. With more than seven acquisitions in the last four years and open positions around the globe, it's an exciting time to join Ivanti.
Competitive salary, matching 401k, great benefits, lots of food and great managers. Ivanti is a great place to work.
If you’re passionate about what you do, are a champion of customer satisfaction and success, and interested in developing solutions that make a difference and in having fun while doing it, Ivanti is the place for you!
Position Summary:
Ivanti's engineering organization seeks a Director of Product Management for Analytics and Machine Learning to lead the design and creation of our next generation of intelligent analytics leveraging machine learning to drive the power and growth of Ivanti's cloud platform. By leveraging our data and machine learning, we want to identity and enable insights that delight our customers with a simple, actionable, user experience.
You will partner with world class business and engineering leaders to build cloud based analytics through deep understanding of product opportunity, creating a vision, validating through experimentation, and market delivery. This role helps to build a center of excellence for analytics and machine learning for all Ivanti products that combines technology and data to drive increased value across all product lines. This position will report to the VP of Engineering.
Essential Job Duties:
Building a vision, strategy, and roadmap for an intelligent analytics and machine learning services that will continue to evolve and have strong alignment and partnership with all product lines delivered on Ivanti’s cloud platform.
Collaborating with product, engineering and functional teams across the company to create product ideas and new technology solutions supporting key analytics initiatives that drive cloud adoption and enable additional strategic value.
Educate and guide product teams on appropriate use cases of ML, and inspire teams to build ML-powered features and products.
Act as an evangelist for our analytics and machine learning services both internally and externally.
Required Skills and Experience:
Background in and understanding of statistical modeling, data science and machine learning with applied productization experience.
Experience in working with data pipelines, ETL, and data warehousing products.
Extensive experience with hypothesis-driven development leveraging A/B experimentation and data/metric-driven validation.
Experience managing or overseeing the product management of enterprise SaaS products and services.
Excellent written and verbal communication skills; proven experience articulating technical concepts to all audiences, including C-level executives and customers.
Outstanding interpersonal skills; proven ability to work effectively with technical contributors, management and executive leadership.
Education/Licensing/Certification:
Bachelor’s degree in business or engineering
MBA highly valued
External Recruiting Agencies/Vendors: Ivanti does not currently engage with external recruiting agencies and will not accept unsolicited resumes from any external agency. Unsolicited resumes submitted by agencies to Ivanti will become the property of Ivanti and may be contacted and engaged with directly. Ivanti maintains a preferred vendor list and only engages with these agencies from time to time. Ivanti has not agreed to pay placement or any other fee to companies who have not been specifically retained to conduct a candidate search.
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