AI Lab Solution Manager AI实验室解决方案经理

Cummins

4.3

(41)

Beijing, China

Why you should apply for a job to Cummins:

  • 4.3/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 97% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Annual merit and profit sharing based on individual and company performance.
  • More than 150 employee resource groups (ERGs) worldwide provide opportunities for leadership training and professional development.
  • 55% of Cummins’ Executive Team, made up of leaders guiding company strategy, is made up of women.
  • #R-E6E66364654248A89779344A1FE45636

    Position summary

    rts and dashboards on analysis results applying advanced capabilities of business intelligence tools and technologies.

    • Develops data profiles for data tables and elements in the data lake. Creates and evaluates data catalog entries, ensures data catalog metadata quality, and leverages data catalog information to provide guidance to product development teams.

    • Analyzes complex and diverse data sets from multiple sources to identify data quality, coherency and integrability issues and reduce data redundancy; provides recommendations to resolve issues throughout the data lifecycle.

    • Collaborates to develop data cleansing methods and rules. Assists in creation and maintenance of documentation of key decisions, rules, controls, processes and training material. Collaborates to integrate data analysis findings into governance solutions.

    • Defines new methods and integrates new tools into data analysis processes. Coaches, mentors and reviews work of less experienced team members and provides guidance on problem resolution.

    RESPONSIBILITIES

    Competencies:

    • Data Literacy - Expresses data in context, including data sources and constructs, analytical methods and applied techniques; describes the use-case application and resulting value.

    • Data Profiling - Assesses data issues and cleansing requirements to perform data extraction, mapping, collection, and testing; establishes good, quality data.

    • Data Communication and Visualization - Constructs a tale of the business problem, root cause, solution options, and opportunities through illustrating data visually, including reports and dashboards.

    • Data Quality - Identifies, understands and corrects flaws in data that supports effective information governance across operational business processes and decision making.

    • Project Management - Establishes and maintains the balance of scope, schedule and resources for a temporary effort (a "project").

    • Data Analytics - Discovers, interprets and communicates qualitative and quantitative data; determines conclusions relying on knowledge of business or functional frameworks; simultaneously applies statistics, data validity, data visualization, and problem solving approaches to effectively extract meaningful patterns and business insights; presents conclusions and outcomes that enable data driven business decisions.

    • Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

    • Customer focus - Building strong customer relationships and delivering customer-centric solutions.

    • Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.

    • Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.

    • Action oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

    • Manages ambiguity - Operating effectively, even when things are not certain or the way forward is not clear.

    Education, Licenses, Certifications:

    • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.

    QUALIFICATIONS

    Experience:

    Intermediate experience in a relevant discipline is required. Knowledge of the latest technologies and trends in data science is highly preferred and includes:

    • SQL query language execution on NOSql and SQL sources

    • Exposure to Agile software development

    • Exposure to IoT technology

    • Data profiling tools, technologies and coding

    • Data Catalog tools and technologies

    • Business intelligence tools and technologies

    Intermediate experiences in the following are preferred:

    • Exposure to Big Data open source

    • Clustered compute cloud-based implementation experience

    Job Systems/Information Technology

    Organization Cummins Inc.

    Role Category On-site with Flexibility

    Job Type Exempt - Experienced

    ReqID 2424136

    Relocation Package No

    100% On-Site No

    Why you should apply for a job to Cummins:

  • 4.3/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 83% say women are treated fairly and equally to men
  • 85% would recommend this company to other women
  • 97% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Annual merit and profit sharing based on individual and company performance.
  • More than 150 employee resource groups (ERGs) worldwide provide opportunities for leadership training and professional development.
  • 55% of Cummins’ Executive Team, made up of leaders guiding company strategy, is made up of women.