Director Data Analytics

Honeywell•Atlanta, GA

38d•Hybrid

About 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.

Requirements

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

Nice To Haves

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

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.