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Senior Director of Data Strategy and Architecture
People Leader
We seek an experienced Senior Director of Data Strategy and Architecture to lead the data strategy, architecture, design, development, and implementation of our end-to-end data products. The role requires a visionary leader adept at harnessing data capabilities to catalyze growth, optimize operations, and deliver competitive advantage. The incumbent will head a team of data architects and engineering experts and direct the organization's data architecture and engineering initiatives.
What You’ll Do For Us
In your role, you will chart the course for our data strategy, tightly integrating it with our overarching business vision to drive innovation and growth.
• Craft and steer a comprehensive vision for enterprise data solutions that synergize with our corporate ambitions and pave the path for transformative business outcomes.
• Lead the development of best practices for architecture, engineering, and analytics development. By staying at the forefront of industry trends and continuously refining our processes to ensure the highest-quality, innovative, and efficient solutions.
• Define, develop, and enable enterprise data solutions
• Lead the architecture, strategic framework design, development, and implementation of data systems, ensuring they are robust, scalable, and secure. Establish and implement Master Data Management (MDM) initiatives to ensure data accuracy and consistency across the organization.
• Lead the development design and evolution of an enterprise data architecture that supports scalability, agility, and innovation of data solutions and architecture in cloud platforms, managing the process effectively to ensure data security and compliance.
• Cultivate deep collaborative ties with business unit leaders and stakeholders, examining their data needs to ensure the data strategy laser-focused organizational objectives.
• Elevate and guide our data engineering and product teams on best practices to foster a culture that prizes forward-thinking, agility, and continuous innovation. Lay the foundation of a robust data governance regime prioritizing data integrity, ethical use, and compliance as pillars of our data-centric approach.
• Ensure data systems and platforms are designed and implemented to support next-generation data and analytics capabilities. Cultivate strategic partnerships with technology vendors, service providers, and industry thought leaders to keep abreast of emerging trends and opportunities in data engineering.
• Act as a critical liaison between technical and non-technical teams, simplifying complex concepts and fostering data-driven decision-making. Serve as the company's data ambassador, effectively communicating the strategic value of data engineering and architecture initiatives to stakeholders, including at a board level
Qualifications:
• Bachelor’s or master’s degree in computer science, Engineering, or a related field. Minimum of 15 plus years of experience in data engineering and architecture, emphasizing developing and implementing data strategies. Proven experience in a leadership role in data engineering and architecture, focusing on end-to-end data product strategy.
• Proficiency in modern data technologies, architectural patterns, cloud-based solutions, and big data analytics platforms.
• Background in leading large-scale data transformation projects with strategic business impact.
• Strong knowledge of Master Data Management (MDM) and experience with MDM implementation.
• Extensive experience with cloud platforms such as Azure, Google Cloud, or AWS.
• Excellent stakeholder management skills and a proven ability to collaborate effectively with diverse stakeholders. Demonstrated ability to build consensus and drive change across all levels of an organization.
• Exceptional leadership qualities, with a track record of mentoring high-performing teams and fostering a culture of innovation. Strong communication skills, with the ability to convey complex technical concepts understandably.
• Experience with Agile/Scrum development methodology will be a strong advantage.
What We Can Do For You
• Innovation & Technology: The ability to work with an award-winning team on the cutting edge of innovation.
• Exposure to World-Class Leaders: Access to global technology leaders will expand your network and expose you to emerging technologies and techniques.
• Agile Work Environment: We embrace agile, and management believes in removing barriers so employees are empowered to experiment, iterate, and innovate.
Skills:
Domain Driven Design (DDD); Big Data Technologies; Business Analytics; Data Warehousing (DW); Big Data Processing; Architecture Strategy; Big Data Architecture; Emerging Technologies; Extract Transform Load (ETL); Data Flows; Enterprise Technologies; Data Management; Domain Modeling; Data Analysis; Process Flow; Data Governance; Business Models; Big Data; Machine Learning
Pay Range:
$224,100 – $257,600
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
Annual Incentive Reference Value Percentage:
50
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
