This job consists largely of four functions:
Chapter: This is the lead role for the Data Management & Analytics chapter that develops the roadmap for the establishment and the roll out of analytic solutions for GAF to improve and optimize business performance and minimize risk. This individual will have responsibility for establishing the technical foundation for each of the key areas identified, allowing the business leaders to develop key insights to effectively manage the business today and in the future. This individual will lead strategy, architecture and the development of data, experimentation and analytics solutions. This role oversees and orchestrates the plan, definition, and design of GAF’s data management, analytics and data science capabilities. They will support the proper design and implementation of Enterprise Tools to ensure the integration, collection, processing and organization of business data required for management reporting, experimentation and analytics. You are focused on driving your chapter members to collaborate with other business leaders to drive decisions based on data, facts and analytical findings. As the Chapter lead, you maintain a strong focus on end-to-end talent management and strategic guidance of the chapter. You are responsible for evaluating, hiring, developing, coaching, performance management and managing talent, but without traditional oversight. This individual will also be responsible for defining the overall strategy for this chapter.
Enterprise support: You are responsible for making sure the workflow to and through your chapter is efficient and effective by deploying agile tools. Your role involves safeguarding, shaping, and servicing the broader GAF organization, as well as ensuring the Digital Product Groups (DPG) and Scrum teams have the right infrastructure to support their work. You will interface with the operations, application, infrastructure and other teams to ensure processes support their needs and there is buy-in and adherence. You will collect real-time feedback on your Chapter members from the end users and leaders they support in the business and digital programs, to drive continuous improvements to increase productivity, optimize the customer experience, and reduce costs and risks through innovation, operational, and technological enhancement.
IT Leader: As a Chapter leader you are part of the IT leadership team, reporting to the CIO. You are continuously focused on ensuring that the Data Management & Analytics Chapter is and remains "high performing." Apart from the work in the teams, there are often overarching issues that need to be tackled, for example complex projects that surpass individual scrum teams, capacity levels or managing budgets. As part of the leadership team you take responsibility on one or more topics.
Scrum Team: Your organization will provide subject matter expertise support to Scrum teams, collaborating with other Chapters and the Digital Product Groups (DPG) to identify resource needs and provide skilled resources to deliver on key initiatives.
Key Challenges include letting go of day-to-day focus, shifting attention to building the right capabilities and helping match talent to the right roles and value-creation opportunities.
Skills & Qualifications
Minimum 15 years leadership experience in data management and governance, business intelligence, reporting, data science, data architecture, data analytics and predictive analytics, support of information systems and information technology.
Expertise in defining an overall enterprise data management, analytics and data science, business intelligence and reporting strategy and delivering against that strategy.
Bachelor’s Degree in Computer Science, Engineering or Mathematics (advanced degree preferred).
Minimum 8-10 years of experience with data platforms and services.
Minimum 10 years of experience leading data warehouse management; including data warehouse architectures, infrastructure components, ETL/ELT and reporting/analytics tools and environments.
8-10 years of experience leading architecting, developing, internet scale production-grade Big Data solutions in virtualized environments.
5-10 years of experience leading complex data science efforts.
Solid expertise working with big data, information retrieval, data mining and machine learning.
Strong knowledge of design, data structures and algorithms. Demonstrated knowledge of private and public cloud design considerations and limitations in the areas of virtualization, global infrastructure, distributed systems, load balancing, networking and massive data storage.
Solid expertise and understanding of quantitative analytics including marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, optimization and predictive analytics.
Exposure and understanding of existing, new and emerging information technologies and high scale data processing environments.
Solid understanding and proven track record leveraging Enterprise Data Management & Analytics methodologies and best practices.
Solid expertise and proven track record being proactive, forward thinking and future oriented.
You are a people-oriented coach who inspires people, helps them in their careers and grows in their current job.
Working agile is just right for you. You are flexible, not hierarchical and you are not afraid to roll up your sleeves.
You are a thought leader and have the ability to influence Leaders and set/implement Strategy.