Senior Director of Enterprise Data Strategy and Architecture Job Offer

Company Name: Intel

Job Title: Senior Director of Enterprise Data Strategy and Architecture

Job Details

Job Description

We are seeking a Senior Director of Enterprise Data Strategy and Architecture to develop and evangelize Intel's enterprise data strategy, both within and outside the company. This leader will play a pivotal role in defining our data strategy, technologies, and usage guardrails, as well as establishing end-to-end architectural standards while incorporating best practices. They will coordinate heavily across significant transformation programs and influence core data technology recommendations, serving as an evangelist for Intel's data and analytics journey.

Key Responsibilities

As the Senior Director of Enterprise Data Strategy and Architecture, you will:

• Lead the definition and ratification of the enterprise data strategy and build out the supporting roadmap, considering industry trends and business transformations through deep collaboration with partner organizations.
• Develop Intel’s Enterprise Data Strategy and roadmap by partnering with data executives across data governance, data quality, data modeling, data architecture, master data management, and analytics.
• Collaborate closely with business senior leadership to align data initiatives with the company's overall business objectives, ensuring that data supports and accelerates strategic goals.
• Work across partner organizations to ensure alignment and ratification of the enterprise data strategy & roadmap.
• Evaluate the technology landscape and business portfolio to identify opportunities for realizing strategic value.
• Align strategy, business processes, and key business outcomes with executive and senior business unit leaders to deliver value.
• Drive the adoption of data best practices and promote a data-informed culture across the enterprise.
• Ensure compliance with Intel's data architectural principles and data governance policies, providing expertise on decisions and priorities regarding the enterprise's overall data architecture.
• Identify, prioritize, and drive data-related POCs to quickly demonstrate art of the possible, solve problems, and drive business value.
• Facilitate collaboration between the Corporate Data & Insights team and stakeholders to drive data-centric decision-making.
• Collaborate with IT to ensure that strategy and roadmap support a robust data infrastructure that supports the organization’s strategic goals.
• Promote a culture of data-driven experimentation and innovation within the organization.
• Evaluate and work with data executives to manage relationships with external data vendors, service providers, and technology partners.
• Define key performance indicators (KPIs) and metrics to measure the effectiveness of the data strategy and its impact on business outcomes.
• Develop and deliver training programs to enhance data literacy across the organization.
• Act as an advocate for the value of data and analytics, inspiring others to leverage data for competitive advantage.
• Own the comprehensive set of guardrails related to data architecture and technology and manage waivers.
• Oversee the data architectural review board to ensure adherence to standards and alignment with the strategy.
• Ensure that the data architecture is scalable, reliable, and capable of handling current and future potential workloads.

Qualifications

Education/Credentials

• Bachelor's degree in a relevant field (e.g., Computer Science, Information Management, or Business). A Master's degree is preferred.
• Extensive experience in data architecture with a minimum of 20 years in a leadership position.

Knowledge/Experience

• Exceptional understanding of data architecture principles and best practices in the newest technologies.
• Proven expertise in data tools and methodologies across all data disciplines (quality, governance, warehouse, data lake, BI, etc.).
• Deep knowledge of data management software and tools (e.g., data warehouses, ETL tools, data modeling tools).
• Understanding of data security and privacy best practices.

Skills/Attributes

• Outstanding leadership and team management skills.
• Strong vision for business process management and transformation through data.
• Exceptional analytical and problem-solving skills.
• Excellent communication, negotiation, and presentation abilities.
• Ability to lead through ambiguity, learn from experiences, and move