Sr. Project Manager, Analytics Lead Spares Operations Livermore, CA
Job description
As Sr. Project Manager and Analytics Lead Architect in the Global Spares organization, you will be responsible to build the strategy and roadmap for Spares Analytics. In collaboration with the data architecture, business, and development teams, you will lead and coordinate the implementation of their analytics programs. Also, you will guide application and business development teams in the analytics design of complex solutions and ensure that they are in alignment with the COE data principles, standards, and strategies.
- Lead data reporting and analytics strategic plans and support the development of enterprise data and analytics initiatives for Global Spares organization in alignment with Lam’s Analytics guidelines.
- Manage, plan, and organize the overall data and analytics program and activities of Spares aligned with the mission, vision, strategic direction, and goals of line of business by leading key initiatives.
- Develop line of business data and analytics program goals and deploy key metrics related to these line of business data and analytics metrics.
- Explore and advance innovative data and analytics solutions.
- Develop and maintain professional relationships at all levels; manage high level customer relations; communicate and collaborate with external partners.
- Communicate and update status of data and analytics to the line of business.
- Create clear and concise reports in a variety of formats (using PowerBI/BI tools, etc.)
- Bachelor’s degree in Business Analytics, Computer Science, Supply Chain Management, or related disciplines.
- 12 years’ experience in working in a Spares or Operations management role.
- Proficiency with PowerBI and Data Operations, Data Infrastructure, and Data Management.
- Analytics (e.g., business intelligence, data product and reporting, data processing and manipulation, data science, statistics, machine learning, geospatial analyses, applied research methods, data to decision frameworks, etc.)
- Cloud based analytics tools such as data factory, data fabric, synapse, SAP HANA etc.
- Using data integration across a variety of sources using R, Python, or similar tools
- Working with modern data infrastructures (e.g., data lakes, graph databases, etc.)
- Demonstrated program management experience.
- Excellent verbal and written communication skills, including presenting to business groups and leadership.
CA San Francisco Bay Area - Salary Range for this position: $101,000- $220,000.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
In addition, the successful candidate for this position will become eligible for a comprehensive set of outstanding benefits. Click here to learn more about the benefits Lam offers for this position www.lambenefits.com.
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.
