Director, Actuarial Enterprise Data Architect at Prudential Ins Co of America in Newark, New Jersey

Job Description:

This position is a newly created position in the Enterprise Capabilities Enterprise Architecture team and reports to VP & Actuary.

Data has been “input” for model and assumption and thus was excluded from inventorying and managing through an enterprise-actuarial strategy and governance, and data process and issues are compartmentalized by BU, platform or use.

The new position was created to build an actuarial enterprise strategy for data across business units and functions. This individual will drive and develop the key strategic vision, strategy, framework, and documentation for data management and the underlying data architecture and lead or coordinate implementation solutions, which will enable data analytics. This role will provide opportunities to work with various actuarial function teams, CIO, Risk, Finance and Global Technology data leads for data, technology and data science.

Key responsibilities include:

• Lead actuarial data involved projects in actuarial or FM initiatives

• Support the new Financial Management Data and Analytics initiative by managing proof of concepts, performing cross-functional analyses and proposing strategic solutions

• Create a cross-functional and business-unit data specialist community

• Analyze types, locations and magnitude of data issues faced by actuarial function teams (such as assumption, valuation, pricing, and modeling)

• Prepare data catalogue to be able to articulate and create metadata or data dictionary for immediate actuarial needs

• Co-analyze excessive use of Excel EUCS for data staging and aggregation summary

• Build and communicate actuarial data strategy liaising with CDO, AFT, and BU valuation

• Lead implementing the data storage, data quality, data sharing, data analytics and use solution across actuarial functions

Position open to any Prudential office or remote/virtual location.

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  Familiarity and experience of Prudential data is desired

  
  


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  Awareness of actuarial data, tool and process

  
  


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  Experience with databases, ETL, SQL, EUCS, SOX/MAR, and modeling

  
  


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  Experience or acute interest in data science and Python-like tool

  
  


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  Experience of actuarial valuation or assumption is desired

  
  


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  ASA/FSA would be an asset.

  
  


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  Strategic and logical to be able to connect dots and propose a solution

  
  


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  Ability to understand complex quantitative concepts and models in details

  
  


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  Good in written and verbal communication including presentations

  
  


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  Ability to work in a team environment and to build rapport with other teams

  
  


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  Ability to manage multiple priorities and deliverables