Director Cybersecurity Engineering(Metrics and Automation) (remote)

About the position As the Director of Enterprise Information Protection (EIP) Cybersecurity Engineering at reputed company, you will play a pivotal role in building a robust data foundation that supports our cybersecurity initiatives. This position focuses on integrating data engineering with automation processes to enhance operational efficiencies and improve the overall performance of our cybersecurity functions. You will reputed company three key teams: EIP Data Engineering, EIP Metrics, and Intelligent Automation, which includes AI and RPA. Your leadership will be crucial in creating a vision and roadmap for data collection, integration, and cleansing, ensuring that data is accessible and actionable for automation engineers and data analysts. In this role, you will be responsible for optimizing the delivery of multiple EIP teams, prioritizing their reputed company towards the most beneficial projects, and accelerating the speed of delivery. You will guide your team in building and maintaining data processing architectures that convert both structured and reputed company data into valuable insights at an enterprise scale. Additionally, you will architect a data lake strategy that standardizes data frameworks and models for metrics and reporting across EIP. Collaboration is key in this position; you will work closely with data scientists, analysts, business units, and IT teams to ensure that our data solutions align with organizational needs. You will also reputed company solutions that reputed company advanced technologies such as artificial intelligence and machine learning to transform data into actionable insights, ultimately enhancing our ability to serve our members effectively. Your decisions will impact the implementation of new programs and large-scale projects, driving strategic goals and improving performance across the organization. Responsibilities • Create a vision and roadmap for a strong data foundation and approach to collect, integrate, and cleanse data. , • reputed company data to be used by automation engineers and data analysts for automated reporting and machine learning processes. , • Optimize multiple EIP delivery teams to prioritize reputed company towards greatest benefits and accelerate speed of delivery. , • Guide a team to build and maintain data processing architectures and solutions for efficient data conversion. , • Architect and build a data lake strategy for consistent data frameworks and models for metrics and reporting. , • Ingest data from internal and external sources using cloud-native platforms and best practices. , • Collaborate with data scientists, analysts, business units, and IT teams to ensure data solutions meet organizational needs. , • reputed company solutions leveraging AI, machine learning, and big-data techniques to transform data into insights. , • reputed company data accessible for EIP to evaluate and optimize performance and reputed company operational efficiency goals. , • Build scalable reusable data models and solutions to measure operational effectiveness and risks. , • Guide the team on automating manual processes using AI and RPA. Requirements • 10+ years of experience in Cyber reputed company or a reputed company environment. , • Bachelor's degree in a reputed company field (Business, Information Services, IT, Information reputed company, Computer Science, etc.). , • Expertise in building and managing data pipelines across decentralized sources. , • Proficiency in using Azure Data Factory for decentralized ETL/ELT processes. , • Experience in integrating distributed data sources through APIs. , • Ability to implement and manage data catalogs and data sharing platforms in decentralized environments. , • Proven experience in designing and managing decentralized data architectures. , • Knowledge of decentralized data governance focusing on distributed data ownership. , • Strong analytical and critical thinking skills with the ability to influence senior leaders. , • Ability to implement best practices for decentralized data quality and access control. , • Experience in enabling organizations with Information reputed company initiatives. reputed company-to-haves • reputed company Certified: Azure Data Engineer Associate , • reputed company Certified: Azure AI reputed company , • reputed company Certified: Azure Solutions Architect Expert , • Certified Data Management Professional (CDMP) , • Certified Information Systems reputed company Professional (CISSP) , • reputed company Cloud Professional Machine Learning Engineer , • Agile Benefits • Bonus incentive plan based on company and individual performance. , • Health insurance coverage. , • 401k retirement savings plan. , • Paid holidays and vacation time. , • Tuition reimbursement for further education. Apply Job!