Innovate to solve the world's most important challenges

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell.

Job Description:

• As an AI Engagement Manager, you would work with a fast-paced organization and define opportunities to solve business problems by combining using Honeywell's domain expertise and AI capabilities and technologies. You would position them to stakeholders in the context of an overall engagement strategy to drive Data, Machine Learning and AI based solutions.
• Track and forecast internal and external trends, identify potential impact and apply domain and industry knowledge to offering development and business line strategy.
• Manage inbound and outbound AI opportunities in businesses, identify success criteria and lead clear articulation of milestones and execution plan. Develop/lead cross functional teams to ensure that the offerings meet customer needs, are economically and technically viable and are deliverable.
• Conduct VOC, understand customer problems and define value and what is needed for Honeywell to succeed; assess opportunity to use data and AI solutions, define programs to enable value realization. Develop and/or manage the business case including revenue/profitability and business impact estimates. Guide and communicate the design of target solution that is acceptable to the business and is scalable for future integrations or adjacent needs.
• Develop costs and trade-offs, start vs. stop vs. enhance decisions/recommendations for products in development to deliver the maximum value from the offering portfolio within agreed development timescales and constraints.
• Gather, analyze product feedback, value delivered and determine global implications to provide recommended improvements based on the learnings into future enhancements.
• Influence go-to-market recommendations for new products and recommend pricing frameworks. Manage portfolio mix and engage both stakeholders and internal teams to deliver consistent and growing value over short term and long term.
• Work with data science leads, technology architects, data engineers to design the solution and present specific milestones and delivery plan.
• Build and manage a variety internal or external relationship (e.g. business executives, executive sponsors, delivery teams, etc.) and orchestrate activities between groups to resolve issues and move program forward. Become a trusted partner for all data and AI needs for customers.
• Communicate program information and status to the executives and stakeholders, and provide engagement oversight to the program, related projects and tracks of work; Act as internal point of coordination relating to approach and solution and is the primary escalation point.

Deliverables:

• Business case, value walk and value estimation
• Market research, independent data analysis relevant to problems to be solved
• Project plan, AI delivery milestone and stakeholder communication
• Documentation - PRFAQ, detailed requirements documents
• Implementation recommendations

YOU MUST HAVE:

• Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering, or mathematics
• 4+ Years of experience in Data Science projects and assignments
• 10+ years of overall Industry Experience relevant to Honeywell - Commercial Buildings, Industrial like Oil and Gas, Power

WE VALUE:

• 4+ years of knowledge/experience in cloud-based data and data science technologies
• Ability to use data analytics tools to be hands on with navigating through big data and perform analysis
• Be able to articulate value proposition of AI based solutions and drive implementation for success
• Be able to translate and communicate the business language into technical teams and technical terms to business stakeholders
• Business Development experience
• Experience in portfolio management and management of project pipeline
• Experience working with Executive Management and Stakeholders
• Strategic analysis and planning based on customer needs
• Experience with end to end data engineering and data science solution
• Ability to handle and work through ambiguities and prioritize actions with minimum supervision

YOU MUST HAVE

• Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics

WE VALUE

• A Job posting does not exist for this global job code, please work with your HRG to develop one.

Additional Information

• JOB ID: HRD9085982
• Category: Engineering
• Location: 715 Peachtree Street, N.E.,Atlanta,Georgia,30308,United States

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.