Job Description


Job Description
Data Architect is responsible for delivering large-scale, complex data warehouse and BI programs and integrating processes and technology to help clients in China achieve high performance business. The architect is responsible for designing robust data architecture and solution to meet client data management and analytics requirement. With solid knowledge on business operation and data architecture, the architect can help client propose the potential data life cycle  management solution, design the detailed mechanism, determine the most suitable data architecture include to achieve high quality data and actionable decision making.
Key responsibilities may include
  • Design the common data architecture asset including framework, principle, guideline and template to guide the delivery team realize an optimized solution
  • Design the detailed data architecture includes data governance, master data strategy, master data management, data quality, data modeling, ETL approach, data storage etc
  • Design optimal data warehouse and analytics solution to fulfill the business/technical requirement.
  • Develop business intelligence and data management solution plan. The solution plan includes requirements, solution design, estimation, project plan and implementation considerations
  • Identify the gap between business requirement and data architecture and propose solution to resolve or shorten the gap.
  • Shaping and leading large-scale analytics project full lifecycle implementation activities.
  • Manage delivery team or vendor to achieve project objective and establish the KPI to monitor the progress, risk and issue.
  • Introduce leading practice and data management trend, Accenture PoV to influence client expectation.
  • Engage with client deeply at Manager and C level.
  • Represent the architecture design efforts to Manager and C-level executive.
  • Establishing acceptance of designs with client executives.
  • Cultivating client relationships and driving revenue acquisition.


Professional skill required
  • Deep experience on data architecture, industry solution and program management includes:
    • Data model, data flow, master data management and meta data design
    • ETL tools: Informatica/Datastage/Teradata/SAS (At least one is mandatory)
    • Database: Oracle/DB2/ SAS/Teradata/Neteeza (At least one is mandatory)
    • OLAP: Cognos/BO/SAS/Microstrategy/Hyperion (At least one is mandatory)
    • Data Mining: Teradata /SPSS/SAS  (At least one is mandatory)
    • Middleware: Websphare/Weblogic (At least one is mandatory)
    • Data model: ERWin/Powerdesigner (At least one is mandatory)
    • Program Management
    • Vendor Management
  • At least 3 years consulting firm experience.
  • At least 3-5 large scale data management and governance or DW/EDW/BI implementation projects experience for large life insurers in last 8 years (As lead data architect).
  • At least 10 years working experience focus on data architecture era.
  • BS in Computer Science or related, MS preferred.
Other Skill Requirements
  • Proven ability to build, manage and foster a team-oriented environment.
  • Proven ability to work creatively and analytically in a problem-solving environment.
  • Proactive working attitude.
  • Excellent communication (written and oral), interpersonal and presentation skills.
  • Excellent leadership and management skills.
  • Excellent presentation skills.
  • Fluent oral and written English.
  • Ability to meet travel requirements, when applicable.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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