Job Summary:

  • The Data Services Lead will be responsible for building a healthy working relationship with customers and data partners. Use knowledge and expertise to develop and deliver product solutions that fit customer needs.
  • Conduct customer visits to further develop relationships when appropriate
  • Oversee an enterprise data management roadmap, data governance, data quality management (DQM), Information Architecture, MDM/Reference data management and data operations
  • Manage all TI data products

Duties and Responsibilities:

The Data Services Lead will provide operational and technical support to internal and external customers.

  • Execute/coordinate Data counts and pulls
  • Data partner analysis and evaluations
  • Product manage internal operations systems/tools (Counts & Order Processing System; licensee client deliverables)
  • International data evaluations (for TIE/production)
  • Data Processing Tool evaluation (address standardization, matching, name parsing,
  • Continuous data testing (UAT)
  • Maintain data layouts/dictionaries and digital taxonomies
  • Electronic validation process
  • Document and manage the TIDB update process

Skills & Requirements:

  • Must have 5 years of work experience in a similar role.
  • Strong attention to detail with excellent prioritization and multi-tasking skills.
  • Ability to work under pressure and work with tight deadlines.
  • Must have experience with SQL(3+), Google Bigquery, Tableau
  • Knowledge of ETL and data processing
  • Must have experience conducting data test cases
  • The most successful candidate will be a self-starter who is confident and has a track record of using analytic skills to proactively develop new insights that drive operational strategy and growth.
  • Should have excellent energy, judgment, communication, interpersonal and analytical skills required
  • Need a successful track record of milestone achievement, operational excellence and strong cross-functional skills between customers and the Data and technology Teams
  • Must have experience with Microsoft Office applications including Word, Excel, PowerPoint and Outlook.
  • Bachelor’s Degree required (computer science, data science, math/analytics, information systems.)

A big plus:

  • Big data skills (Hadoop, Machine Learning, Apache Spark, Elastic Search)
  • Data Analytics & Modeling, or data mining skills
  • Programming/development skills (Python, Java, or C++)
  • Familiarity with Cloud solutions, including AWS, Google Cloud, or Azure is a plus

Location : Princeton, NJ

Department : Data

Hiring Manager : Chief Data Officer

Date Needed : 30 April, 2019

Compensation : Salary

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