Sr Business Integration Manager

Not Specified
Jun 08, 2017
Aug 07, 2017
Job Type
Not Specified
Career Level
Not Specified

The Sr Business Integration Manager is responsible for identifying business units or functional area needs that can be addressed with Data and/or Analytics assets leveraging global solutions for use in area/region of responsibility. This job is also responsible for leading key analytics initiative applicable across multiple lines of business with goal of creating business value of data analytics efforts/products.


  • Establish business case: Identify business units/functional area needs that can be addressed with Data and/or Analytics assets. The business case includes dollar amount saved or revenue generated through the implementation of analytics.
  • Prioritize and coordinate: Work with the rest of the Analytics and/or IT Data Services teams for the delivery of data analytics projects, initiatives, requests and efforts. Setup regular meetings with stakeholders to provide status update or change priorities.
  • Communication: Establish a plan for regular communication of relevant business and consumer insights to the appropriate teams. Deliver effective and compelling communication across the organization in area/region of responsibility to ensure that insights impact the business decision process.
  • Provide User Training: Work with end users to give them training on a variety of tools & technologies to allow them to be self-sufficient in some of their basic data needs.
  • Relationship and Collaboration: Build productive relationship with business stakeholders to help move data analytics projects and maturity.
  • Lead Key Initiatives: Responsible and accountable for working with business and internal data analytics teams to define, execute and implement key data initiatives ( as prioritized ) across multiple lines of business.
  • Thought leadership to key corporate initiatives and is considered to be a subject matter leader in the disciplines of data analytics
  • Responsible for guiding others to ensure quality and completeness of team deliverables. Serves as mentor to junior colleagues.


  • A bachelor’s degree in the fields of statistics, business, finance, mathematics, computer science or other related fields
  • 5+ years of overall experience in business analysis, research, statistics, applied mathematics, data management, business intelligence, etc
  • 3+ years of targeted experience in data analysis that includes translating insights into recommendations

Other Skills:

  • Experience in the fields of insurance, finance, accounting or statistics.
  • Direct experience with a broad range of best-in-class database tools/analytics/research approaches and concepts.
  • Experience in building and integrating actionable datasets with an ability to leverage information through advanced analytics to produce valuable business, market and customer insights.
  • Proven ability as an effective and compelling communicator in both meeting room and medium audience settings.
  • One who operates as a business partner to the line executives they work with by understanding the broader business context and applying marketplace-gained insights to drive decision making.
  • Able to manage multiple initiatives and support multiple clients simultaneously.
  • High level of intelligence, a quick study of complex problems and a well-organized approach to finding impactful solutions.
  • One who is fact-based in approach and who naturally sets/measures performance against clear metrics.
  • Exceptional analytical skills, along with excellent communication skills are required.
  • Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization
  • Ability to provide innovative approach to problem solving and demonstrate a track record of such
  • Working knowledge of tools like SAS, R, and/or relational database software.
  • Experience with concepts and business applications of statistical analysis, such as predictive modeling, time series analysis, exploratory data analysis, segmentation and cluster analysis, retention, etc.
  • Experience with project management and leading project teams

Preferred Qualifications:
  • Experience in a world-class property and casualty, mortgage or financial services company is highly desirable.