Mgr, Business Operations Mgmt
Lam ResearchAbout the role
The group you’ll be a part of
The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.
The impact you’ll make
In this role you will be an ops focused expert on Lam’s multi-billion-dollar aftermarket Services business. You will help develop, implement and govern cross functional processes and systems for Services forecasting, planning and successful execution of customer commitments. You will help build the digital infrastructure to scale the business and drive programs to improve customer experience and operational efficiencies.
What you’ll do
- Improve Services business processes and help build solutions that will support product line strategies; ensure timely execution of related projects including change management activities
- Partner with Opex Business Development, Account and Global operations teams to track and drive revenue/margin objectives for all Services product line business segments
- Develop a subject matter functional understanding of key business systems (SAP, CRM, Financials) enabling Services products Quote to Cash cycle.
- Document business requirements to help transform the Services business infrastructure to scale the business in partnership with finance, product line, regions and Digital Transformation teams.
- Utilize data analysis and collaborate with Account Teams (AT) to understand key business drivers impacting revenue and margin and changes from cycle to cycle; provide actionable insights for management
- In all areas of responsibility, develop and deliver effective presentations to leadership teams and key stakeholders
Who we’re looking for
Bachelor’s degree in business, Supply Chain, Operations Management, Industrial Engineering, or related field with 10+ years of experience; or Master’s degree with 8+ years’ experience
Preferred qualifications
- Semiconductor industry or global supplier experience is a plus especially in Aftermarket Service space
- Familiarity with supporting a medium to large product line and driving process improvement programs especially in Aftermarket or fast-moving consumer goods space
- Comfortable operating at the intersection of Operations, Finance and Technology
- Prior experience of driving medium to large scale business systems and process change especially in financial planning and Customer quotes, Order and contract management space (SAP order management, CRM, CPQ, Adaptive Workday etc)
- Advanced analytical skills to interpret and utilize data for decision support.
- Excellent verbal and written communication skills.
- Ability to operate and influence in the Matrix, develop and mentor high performance cross functional teams
- High tolerance to ambiguity, bias to action and focus on delivering results
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid
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