Senior Leader, Data Analytics Engineering, Distinguished Engineer

Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, WD_BLACK™, and SanDisk® Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

Job Description

The Advanced Analytics Office (AAO) within the Information Technology organization, is missioned with accelerating advanced Data and Analytics solutions across the Enterprise to unlock business value and create competitive advantage. These solutions target key operational metrics, such as, reducing cost, improving capital & asset efficiency, and improving operational efficiency. The Analytics solutions also target improving our market position by enabling business agility, reducing time-to-market to develop new products, and improving customer 360 experience.

The solutions use cutting edge technologies and are delivered through a platform approach to enable rapid scaling across the Enterprise. These solutions span both Operational data and Big data platforms using both Cloud and On-premise environments. The solutions leverage the latest in analytics technologies, such as, Artificial Intelligence & Machine Learning (AI/ML), Digital Twin Simulations, and Operations Research based Optimization methods to deliver to business outcomes.

We partner with over dozen factories across US and Asia that manufacture our Hard Disk Drive and Flash drives; these factories generate vast amounts of manufacturing and test data with tremendous amount of information. Apart from manufacturing data, our enterprise functions generate operational data which spans Business units, Sales & Marketing, Finance, Supply chain, Logistics, Procurement, and many other supporting functions. We continually seek to connect this data across the enterprise to enable rapid decision making. This journey is already in full swing, and we expect to continue to accelerate. The goal is to connect End-to-end enterprise information that enables rapid evaluation of next best decisions and optimize Enterprise resources and our position in the market.

We are looking for a dynamic Senior leader (Distinguished Engineer role equivalent) who will play a pivotal role in helping accelerate the overall IT Connected Enterprise vision. We are looking for a leader who will take an enterprise view to understand complex cross-functional business processes and then take a hands-on approach to define, prioritize and lead implementation of foundation components required to connect the Enterprise. These components can span infrastructure review, Data fabric design, platform choices, Software stack and applications, and integration decisions.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

• Lead technology direction with business focus
• Evaluate emerging technologies and trends and assess their relevance to the WDC organization and recommend adoption strategies.
• Collaborate with business leaders, IT teams, and other stakeholders to develop a point of view on architectural underpinnings for enabling an incremental and prioritized process towards achieving an end-to-end connected enterprise.
• Develop and champion the organization's enterprise architecture that continuously strengthens technology, application, data & analytics, and security posture.
• Ensure enterprise architecture modernization effort remains aligned with the organization's strategic goals and objectives and make recommendations for adjustments as necessary.
• Champion and execute for business agility
• Embrace and champion Agile methodologies within IT organization to promote collaboration, flexibility, and continuous improvement through short development cycles (sprints) and iterative development.
• Integrate development (Dev) and operations (Ops) to automate processes, improve deployment speed, and enhance collaboration between development and IT operations teams.
• Integrate security practices throughout the development lifecy