WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Key Responsibilities

Financial Modeling & Deal Economics

• Lead financial modeling and deal economics independently including DCF/valuation, trading and transaction comps, accretion/dilution, synergy analysis, and deal structuring.
• Build and defend sophisticated financial models from scratch, including stress-testing assumptions under executive scrutiny.
• Develop unit economics, return analyses, and value-creation frameworks for M&A and venture opportunities; support investment thesis development with rigorous quantitative underpinning.

Target Landscape & Pipeline Management

• Map and maintain target landscape: research acquisition candidates, track competitor M&A activity, and maintain the deal pipeline and CRM.
• Conduct primary and secondary research to identify and prioritize acquisition, JV, and investment targets; support pipeline reviews and portfolio prioritization discussions with Corporate Development leadership.

Deal Materials & Executive Communication

• Produce executive-ready investment memos, deal summaries, and Board materials.
• Translate complex financial and strategic analysis into clear, compelling narratives for senior leadership.

WD Capital & Venture Support

• Support WD Capital: conduct company and technology diligence on startup investment opportunities and develop investment thesis independently for venture opportunities in storage, data infrastructure, and AI adjacencies.
• Build relationships with VCs, accelerators, and startup ecosystems to support deal sourcing.

Cross-Functional Partnership

• Partner closely with Finance, Legal, HR, and business leaders throughout the deal lifecycle to enable due diligence coordination, risk assessment, and integration hand-off.
• Build trusted relationships with cross-functional stakeholders and drive coordination with minimal senior oversight.

• 3–6+ years in investment banking, private equity/growth equity, corporate development, or management consulting where financial modeling depth and analytical rigor were clearly demonstrated. 
• Transaction execution experience required - must have worked on live deals through diligence, negotiation, and close.
• Exceptional financial modeling and quantitative analysis skills; can build models from scratch across valuation, alternative deal structures and economics, and can defend assumptions under executive pressure.
• Experience producing investment memos, Board materials, and executive-ready deal summaries with minimal senior oversight.
• Familiarity with due diligence workstreams across Legal, Finance, HR, IT, and technical/product.
• Operates independently, drives workstreams to completion, and delivers against tight deadlines. Demonstrates strong attention to detail, proactiveness, and independence.
• Familiarity with market intelligence platforms (PitchBook, CapIQ, etc.))
• Excellent written and verbal communication skills.
• Strong Excel and PowerPoint skills; data visualization a plus.

Preferred Qualifications

• Prior experience in highly technical industry 
• Experience across multiple deal types e.g., strategic M&A, joint ventures, divestitures, commercial partnerships, cross-border transactions.
• Deep-tech venture investing experience. 

Education

• MBA or equivalent work experience/progression strongly preferred.
• Bachelor's degree in Finance, Economics, Engineering, Computer Science, or a related analytical field.

WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available HERE

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based on our experience, we anticipate that the application deadline will be 10/06/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.