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Eaton Vance

Distribution Data Science Director

Post Date:May 16, 2018Type:Full-Time
Start Date:5/16/2018Salary:
Location:US-MA-Boston Job Reference:JR002192
Skills:
 

Job Description:

By joining Eaton Vance, you’ll become part of a company that has one of the best employee retention rates in the financial services industry. We offer competitive salaries, generous benefits, and tremendous opportunities for growth and development. If you do not see a position that fits your career objectives, please return to this site in the future as our hiring needs will change. We look forward to your becoming a part of our continued success!

Basic Purpose:

The Distribution Data Science Director will be central to delivering the insights and recommendations to senior sales and marketing leadership needed to identify predictors of successful sales and marketing outcomes, drive effective engagement with customers and accelerate sales lifecycles. This role will lead the development and evolution of analytical models, performance metrics and best practices. Partnership with senior business stakeholders will lead to optimization of execution and refinement of our strategy. 



Primary Responsibilities:

  • Expand our current analytic capabilities and architect new strategies and applications within a dynamic innovative distribution organization.
  • Help distribution management transform their marketing and sales strategies by applying advanced analytics to generate value-creating insights from big data. 
  • Conduct deep analytics on a broad set of client and external data and play a lead role in team problem solving through findings and insights from that analysis. 
  • Use advanced analytics, predictive modeling, and evaluation science to mine structured and unstructured data to identify key drivers of sales and marketing success
  • Distill business requirements to define scope and functionality/capability for enterprise analytics projects
  • Utilizes a data-driven approach to inform decision-making, analyze data solutions/data governance performance and reliability, and identify opportunities for optimization and improvement.
  • Manage multiple tasks and projects simultaneously, establish priorities, and own deliverables end to end
  • Help solve new and existing challenges to sales & marketing effectiveness
  • Develop visualizations to share analysis and insights across a large group of business users 
  • Lead the development and evolution of analytical models, key metrics, best practices, and test plans
  • Develop requirements and process for effective client segmentation across the different sales channels, including intermediary and institutional clients and centers of influence.
  • Team management:   Supervise a diverse team, partner effectively with Distribution Administration teams, Sales Management, IT, Operations and Finance.
  • Work with IT teams to support data collection, integration, and retention requirements
  • Identify what data is available and relevant, including internal and external data sources, and leverage new data collection processes.
  • Define data quality expectations for distribution data initiatives
  • Collaborate with IT and Finance on tool development, data organization, and data collection to ensure corporate protocols are consistent.



Job Requirements:

  • Strong understanding of the asset management distribution process and client segmentation
  • Undergraduate or advanced degree in a quantitative discipline (i.e. Statistics, Mathematics, Econometrics, Operations Research)
  • Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear, Algebra, Calculus)
  • 2-9 years of hands-on work experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, preferably in a marketing and sales context
  • Proficiency in statistical data analysis and data mining packages
  • Advanced knowledge of data management tools including SQL/RDBMS, NoSQL (e.g. MongoDB), Hadoop and/or other big data technologies
  • Advanced programming skills in at least one of Java, Python, R, C++, C#, etc.
  • Experience linking multiple data platforms and with data visualization tools (e.g., Tableau)
  • Experience with digital analytics
  • Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Ability to independently own database development and decisions, balancing demands and deadlines
  • Distinctive communications skills and ability to communicate technical content in an easy to understand way
  • Strong people skills, team-orientation, and a professional attitude

This policy applies to Eaton Vance Corp. and all subsidiary companies (the “Company”).


The Company is an equal opportunity employer and is committed to providing a work environment that is free of discrimination and harassment.  It does not discriminate against applicants or employees with respect to any terms or conditions of employment on account of race, color, religion, creed, national origin, ancestry, sex, sexual orientation, age, pregnancy, parenthood, physical or mental disability (actual or perceived), medical condition including genetic characteristics, marital status, citizenship status, military service, gender, gender identity, registered domestic partner status, domestic violence victim status, status with regard to public assistance, or any other characteristic protected by applicable federal, state or local laws.  Eaton Vance also prohibits discrimination based on the perception that a person has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.  This commitment applies to all persons involved in the operations of the Company, and prohibits unlawful discrimination by any employee of the Company, including supervisors and co-workers.  All employment decisions shall be consistent with the principles of equal employment opportunity.


The information on this Web site is for U.S. residents only. The information on this Web site does not constitute an offer to sell, or a solicitation of an offer to purchase, securities in any jurisdiction to any person to whom it is not lawful to make such an offer. Eaton Vance does not provide tax or legal advice. Prospective investors should consult with a tax or legal advisor before making any investment decision. © Eaton Vance Management. All rights reserved. Two International Place, Boston, MA 02110





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Eaton Vance



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