Director Data Analytics

**THE BUSINESS** **Honeywell International Inc** . (NYSE: HON) is a global technology and manufacturing company that invents and commercializes solutions to address some of the world's most critical challenges. With a diverse portfolio spanning multiple industries, Honeywell is committed to introducing state-of-the-art technology solutions that improve efficiency, productivity, sustainability, and safety in high-growth businesses. Our broad range of products and services includes aerospace systems, building technologies, performance materials, safety and productivity solutions, and more. We leverage our expertise in software, hardware, and engineering to develop innovative solutions that enhance the quality of life for people around the globe. With a strong commitment to inclusion and diversity, Honeywell fosters a culture of innovation, collaboration, and continuous improvement. We prioritize integrity, ethics, and workplace respect in everything we do. Our behaviors, such as innovating and creating value for customers, embracing transformation, and driving accountability, shape our performance culture and drive our success. As a global company, Honeywell operates in more than 70 countries and serves customers in over 150 countries. We have a strong presence in key industrial end markets and are dedicated to delivering exceptional customer experiences and driving sustainable growth. **Honeywell Building Automation** (BA) is a leading global provider of products, software, solutions, and technologies that enable building owners and occupants to ensure their facilities are safe, energy efficient, sustainable, and productive. BA offers a comprehensive range of advanced software applications for building control and optimization, including sensors, switches, control systems, and instruments for energy management. The solutions provided by BA cover various aspects of building automation, including access control, video surveillance, fire products, and installation, maintenance, and upgrades of systems. With a strong focus on innovation and technology, BA helps buildings of all sizes optimize their operations through managed services, remote building operations, predictive maintenance software, energy management, and cybersecurity protection. BA's mission is to enhance the safety, sustainability, resiliency, and productivity of people, plants, and assets. By leveraging cutting-edge technologies and industry expertise, BA enables customers to create smart, customized solutions that optimize their entire facility or building portfolio. With a global presence and a team of dedicated experts, BA delivers reliable and efficient building automation solutions to customers worldwide. Honeywell Building Automation generated revenues of $6 billion in 2022 and employs approximately 18,000 professionals globally. The company's dedication to innovation, quality, and customer satisfaction has established it as a trusted partner in the building automation industry. **THE POSITION** As a **Director of Data Analytics** here at Honeywell, you will hold a strategic leadership position overseeing the entire data analytics function. Your primary responsibility will be to provide strategic direction and guidance for data analytics initiatives, ensuring the efficient handling and analysis of large volumes of data. You will develop and implement data analytics strategies, dashboard, and procedures to drive business insights and support decision-making processes. Collaboration with cross-functional teams will be crucial as you work together to identify data requirements and ensure data quality, data accuracy and integrity. You will drive data analytics activities, including data classification, data source, and data security, to ensure compliance with regulations and industry standards. Additionally, you will manage and execute data analytics and data migration projects, leveraging advanced data analytics techniques and technologies to transform raw data into actionable information. Staying up to date with industry trends and best practices in data analytics will be a priority, as you will be responsible for driving the development and implementation of data management tools and technologies. Your strong leadership, problem-solving, and communication skills will be instrumental in driving successful data management initiatives. You'll work out of our Atlanta, GA location on a hybrid work schedule. **KEY RESPONSIBILITIES** + Shape the vision and strategic planning across the data analytics organization, fostering a culture of excellence, innovation, and continuous improvement. + Develop and execute a comprehensive data analytics roadmap aligned with the organization's strategic objectives and business priorities. + Lead the design, implementation, and optimization of data architecture, including data models, databases, data warehouses, and data lakes. + Establish and maintain data quality standards and processes to ensure the accuracy, completeness, and consistency of data across systems and applications. + Drive thought leadership and innovation within the data analytics domain. + Collaborate closely with business leaders and stakeholders to understand data analytics requirements, identify opportunities for data-driven insights, and drive business value. + Benchmark internally and externally to continuously strive for best-in-class industry trends and best practices in data analytics, including artificial intelligence, machine learning, and big data technologies. Assess their potential impact on the organization and recommend strategic investments to drive innovation and competitive advantage. + Serve as a strategic advisor to senior leadership on data-related matters, providing insights, recommendations, and actionable intelligence derived from data. + Mentor, grow, and advise analytics professionals. + Remove barriers, manage escalations, and drive resolution. **BASIC QUALIFICATIONS** + 10+ years of progressive experience in data analytics roles, with a demonstrated track record of leadership and achievement. + Extensive knowledge of data analytics principles, methodologies, and best practices. + Strong expertise in data analytics, database design, and SQL. + Experience with data analytics tools and techniques. + Proven leadership and people management skills, with the ability to inspire and motivate teams to achieve their full potential. + Excellent communication, negotiation, and stakeholder management skills, with the ability to collaborate effectively with colleagues at all levels of the organization. + Strategic thinker with a results-oriented mindset and a passion for leveraging data to drive business outcomes. + People manager and managed a team size 6 and more. Also involved in performance management, Organization Design and ensuring healthy and positive tea environment + Commitment to continuous learning and professional development, with staying ahead of industry trends and advancements in data management technologies **PREFERRED** + Bachelor's degree in computer science, Information Systems, Data or a related field + Attention to detail and a strong focus on data quality + Ability to work effectively in a fast-paced and dynamic environment + Strong project management skills + Experience in implementing data analytics tools and technologies + Certification in data analytics or related field + Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). + Knowledge of advanced analytics and machine learning techniques 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. 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.