Hiring.Camp

Senior Director, Technology – Cybersecurity Strategy, Architecture & AI Transformation (Remote)

The Home Depot

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Salary
$250k – $350k
Location
GEORGIA - VIRTUAL - GA01, United States of America
Workplace
Remote
Type
Full-time
Department
Engineering
Seniority
Director
Education
Bachelor
Visa
Not sponsored
Source
Workday

Description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Senior Director, Technology – Cybersecurity Strategy, Architecture & AI Transformation is responsible for defining and advancing the future-state architecture, strategy, and transformation agenda for Cybersecurity. This leader will establish and drive the long-range cybersecurity technology strategy, provide strategic leadership across enterprise security architecture, and lead major modernization and transformation efforts, including the organization’s AI-enabled Cybersecurity transformation.


The Senior Director will bring together strategic technical leadership across cybersecurity architecture domains, align Distinguished Engineers and Principal Architects around a cohesive target-state architecture and roadmap, and translate emerging technologies into scalable capabilities that improve cybersecurity effectiveness and business outcomes. The role will provide executive leadership across AI, automation, knowledge-driven security capabilities, and other emerging technologies while ensuring appropriate governance, security, architectural consistency, and measurable value realization.


This leader will work across Cybersecurity, Technology, and enterprise partners to turn strategy into execution, influence investment priorities, accelerate modernization, and develop the technical talent and capabilities required for the next generation of Cybersecurity. The role requires a leader who can operate at the intersection of cybersecurity, enterprise architecture, artificial intelligence, technology transformation, and executive strategy.


Preferred Requirements

  • Demonstrated senior leadership experience developing and executing enterprise cybersecurity strategy, security architecture, or large-scale technology transformation within a complex enterprise environment.
  • Deep understanding of enterprise security architecture and the ability to establish target-state architecture, technical standards, strategic roadmaps, and modernization priorities across multiple cybersecurity domains.
  • Significant experience leading AI, machine learning, generative AI, agentic AI, intelligent automation, or other emerging-technology initiatives, ideally within cybersecurity or another risk-sensitive technology environment.
  • Strong understanding of modern AI architecture and enabling capabilities, including large language models, agent-based systems, retrieval-augmented generation (RAG), knowledge graphs, model integration, automation frameworks, and AI observability.
  • Experience translating emerging technologies into production-scale enterprise capabilities, including establishing architectural patterns, governance, controls, operating models, and measures of business value.
  • Strong understanding of AI governance, responsible AI, AI security, data governance, risk management, and controls necessary to deploy AI safely and sustainably within an enterprise environment.
  • Experience leading enterprise transformation programs involving multiple organizations, technologies, dependencies, and senior stakeholders, with demonstrated ability to move from strategy and architecture through implementation and measurable outcomes.
  • Proven ability to lead and influence Distinguished Engineers, Principal Engineers/Architects, and other senior technical talent, creating alignment across independently operating technical domains.
  • Demonstrated ability to evaluate technology investments and emerging capabilities, establish priorities, and make strategic tradeoff decisions balancing innovation, cybersecurity risk, operational resilience, scalability, and business value.
  • Executive-level communication and influence skills, with the ability to translate highly technical AI and cybersecurity topics into clear strategic choices, risks, investment needs, and business outcomes for senior Technology and business leaders.
  • Experience building and developing high-performing multidisciplinary teams spanning architecture, AI/ML engineering, automation, product leadership, governance, security, and organizational transformation.
  • Demonstrated ability to lead through ambiguity and shape new capabilities where operating models, technologies, standards, and organizational responsibilities are still evolving.
  • Broad technology and cybersecurity business acumen with experience partnering across architecture, engineering, infrastructure/cloud, identity, data, security operations, governance/risk, and product organizations.
  • Track record of developing technical and leadership talent, building organizational capability, and creating sustainable leadership depth.

Direct Manager/Direct Reports:

  • Typically reports to a Vice President.


Travel Requirements:

  • Typically requires overnight travel 5% to 20% of the time.


Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.


Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.


Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.


Minimum Education:

  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.


Minimum Years of Work Experience:

  • 10+


Competencies:

  • Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
  • Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
  • Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Courage: Stepping up to address difficult issues, saying what needs to be said
  • Cultivates Innovation: Creates new and better ways for the organization to be successful
  • Customer Focus: Builds strong customer relationships and delivering customer-centric solutions
  • Decision Quality: Making good and timely decisions that keep the organization moving forward
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives.
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
  • Financial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions
  • Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
  • Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
 

The pay range for this position is between $250,000.00 - $350,000.00

Skills

Machine LearningCybersecurityRisk Management

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