Quality Control & Business Process Engineering Specialist

Redwood City, CA - USA

Monthly Salary: $ 137786 - 236204

Posted on: 18 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description

Overview:

Lead research and documentation of accelerated data center build processesidentifyingbest practices and opportunities for scaling across DPR projects.

Conduct business analysis and research on construction and corporate service projects partnering with internal teams to design implement and improve business workflowsincluding those enhanced by automation or AIensuring solutions are efficient and scalable.

Key Responsibilities:

Analyze and document innovative data center construction methods contrasting them with standard industry practices to enable knowledge transfer and scalability.

Convert ambiguous requests into clear actionable requirements; challenge assumptions and prototype workflows/data pipelines tovalidatesolutions.

Synthesize inputs from multiple sources reconcile conflicts and distinguish stated requests from root needs.

Identifyand prioritize process improvements and resource optimizations; partner withinternal teamsto assess feasibility and scale of digital automation options including AI whereappropriate.

Mapend-to-endoperations to existing business applications and integrate data and automationincludingAI-supportedcapabilitieswhere they add measurable value.

Qualifications:

Experience in data centerprojects construction AI and workflow design.

Proven ability tointerface withengineeringoperations and data teams.

Strong analytical documentation and communication skills.

Demonstrated interest in purpose-driven impactful work in the construction industry.

Anticipated starting pay range:

$137786.00- $236204.00

Nothing is more important than your health and wellness. DPR offers a variety of medical dental vision and wellness benefits to keep you healthy. Read more about eligibility and available benefits programs

for skilled craft and labor or experienced professionals and recent graduates.

DPR Construction is a forward-thinking self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology life sciences healthcare higher education and commercial markets. Founded in 1990 DPR is a great story of entrepreneurial success as a private employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR youll have the chance to try new things explore unique paths and shape your future. Here we build opportunity togetherby harnessing our talents enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report Forbes Fast Company and Newsweek.

Explore our open opportunities at Experience:

Job DescriptionOverview:Lead research and documentation of accelerated data center build processesidentifyingbest practices and opportunities for scaling across DPR projects.Conduct business analysis and research on construction and corporate service projects partnering with internal teams to design...

Job Description

Overview:

Lead research and documentation of accelerated data center build processesidentifyingbest practices and opportunities for scaling across DPR projects.

Conduct business analysis and research on construction and corporate service projects partnering with internal teams to design implement and improve business workflowsincluding those enhanced by automation or AIensuring solutions are efficient and scalable.

Key Responsibilities:

Analyze and document innovative data center construction methods contrasting them with standard industry practices to enable knowledge transfer and scalability.

Convert ambiguous requests into clear actionable requirements; challenge assumptions and prototype workflows/data pipelines tovalidatesolutions.

Synthesize inputs from multiple sources reconcile conflicts and distinguish stated requests from root needs.

Identifyand prioritize process improvements and resource optimizations; partner withinternal teamsto assess feasibility and scale of digital automation options including AI whereappropriate.

Mapend-to-endoperations to existing business applications and integrate data and automationincludingAI-supportedcapabilitieswhere they add measurable value.