Sr R&D Manager (Finance)
THE BUSINESS
This position is intended to convey to the new, independent company, to be named Solstice Advanced Materials when the separation occurs. This is expected to occur in late 2025 or early 2026.
At Advanced Materials, we are committed to offering the highest value-add specialty solutions in the advanced materials sector. Our goal is to solve our customers' most complex challenges through a robust and innovative product portfolio and by doing so, deliver exceptional value to our stakeholders. We have identified actionable strategies to grow by expanding into new products and markets and through strategic acquisitions, while keeping our top operating margins.
Joining our team means becoming part of an organization which leverages its long-standing reputation to capture growth trends by investing in innovation and manufacturing enhancements and maintaining deep customer relationships.
We foster a collaborative and inclusive work environment that values contributions and supports professional development. With a focus on innovation and sustainability, the team is dedicated to delivering value and making a meaningful impact in advancing our customers' success. Let's make that impact together.
THE POSITION
The Senior R&D Manager for the Data Science Team will lead our data-driven initiatives by leveraging advanced analytics and innovative methodologies. The right candidate will guide a team of data scientists, analytics professionals, and researchers in developing cutting-edge solutions to support our strategic goals. This position requires a strong technical background, expertise in data science methodologies, and leadership skills to foster collaboration and creativity within the team.As a Senior R&D Manager at Honeywell, you will provide leadership to multiple R&D teams, oversee the planning, execution, and delivery of multiple R&D projects, collaborate with cross-functional teams, and drive innovation and strategic business objectives to deliver cutting-edge solutions.YOU MUST HAVE
- Master's or Ph.D. degree in Data Science, Computer Science, or related field.
- At least 5+ years' experience working in the field of data science
- 5+ years leadership experience
WE VALUE
- Understanding of Material research
- Background in Chemical development
- Ability to lead, motivate, develop and mentor others
- Experience with new product and technology development in a highly regulated environment
- Ability to analyze and solve complex and challenging problems
- Effectively operate in a matrix organization
- Experience working in global teams across time zones
The annual base salary range for this position is $170,000 - $213,000 for Buffalo, NY and $196,000 - $245,000 for Morris Plains, NJ. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.
- Team Leadership: Lead, mentor, and manage a team of data scientists and researchers in the analysis, modeling, and interpretation of complex data sets. Foster a culture of innovation, encouraging team members to explore new techniques and creative problem-solving approaches.
- Project Management: Oversee multiple projects from conception through implementation, ensuring they are completed on time and within budget. Develop and implement project timelines, resource allocation, and risk management strategies.
- Research and Development: Drive the development of advanced statistical models, machine learning algorithms, and predictive analytics to enhance product offerings and operational efficiency. Envision and spearhead the implementation of infrastructure essential for advancing the transformation of artificial intelligence in materials research.
- Collaboration: Work closely with cross-functional teams, including R&D leaders, product management, and ISC, to integrate data-driven insights into business strategies. Collaborate with external partners and academic organizations to leverage cutting-edge research and technologies.
- Strategic Vision: Contribute to the strategic direction of the company by creating and implementing the roadmaps for implementing AI in to material research. Stay abreast of industry trends and advancements in data science and analytics, ensuring the team's methodologies remain current and effective.
- Data Governance: Ensure data quality, integrity, and security in all projects, adhering to relevant regulations and best practices. Implement data management strategies that promote responsible and ethical use of data within the organization.
- Performance Metrics: Establish and track key performance indicators (KPIs) to measure the impact of data science initiatives. Present findings and recommendations to leadership based on data analysis.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
