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Chief Data Officer

Company: Insurance, New York, NY
Location: New York
Posted on: June 13, 2018

Job Description:

COMPANY is looking for an experienced candidate to lead our data transformation efforts. The candidate will drive strategy and execution for legacy technology data projects while defining and driving the firm’s “Cloud First” strategy. This is an ideal role for someone with deep experience in technology transformation in the Financial Services industry, and the candidate must have a solid understanding of the transformational value cloud technologies. Candidate will lead development and adoption of the “Cloud First” firm-wide strategy. The candidate will be accountable for the Corporate Systems Cloud data transformation thru internal and external data partnerships. The Right Person will drive data transformation efforts to AWS and other Cloud platforms for Big Data, while expanding functionality across data lakes and big data stores, data warehousing, distributed analytics, real-time streaming. These building blocks – along with cloud capabilities will meet the strictest security requirements while allowing Corporate Systems and the overall firm to quickly and easily tackle a wide range of analytics challenges. Corporate Systems has number of large programs that span business domains. The candidate will possess both technical and soft skills that will allow them to transform the Corporate System data landscape. He or she will be able to facilitate relationships with senior personnel, as well as the technical background that enables him or her to easily interact and give guidance to DBA’s, software developers, IT pros, and system architects across the organization. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. Responsibilities: This role is for Chief Data Officer, Corporate Systems. The right person will be highly technical and analytical, possess significant experience of AWS and/or IT and implementation/consulting experience. Primary responsibilities: Serve as a key member of the Corporate Systems management team in helping to ensure success in building and migrating data, applications, software and services to AWS and other Cloud solutions. Ensures that all lines of business are able to properly contribute to preserving the data’s value and integrity by driving enterprise-wide technology for managing data utilizing Cloud technologies. Transform existing data landscape using AWS EMR, Redshift, Athena, Glue, S3 and ensure that data is usable and effective. Once data is in pristine condition work closely with Application teams to utilize the data and derive value. Build highly scalable and secure Big Data services for that can quickly support virtually any Big Data workload regardless of volume, velocity, and variety of data – without purchasing hardware or maintaining infrastructure. Lead data migration and transformation that is fast, low cost, secure while using AWS S3 Transfer Acceleration, AWS Kinesis Firehose for streaming data, AWS Snowball Import/Export appliances and AWS Database Migration Service to ensure zero downtime. CDO is a subject matter expert in technology and business and a thought leader for assisting senior technology or business leaders in determining the current and future direction in their area or related areas. Utilizes in-depth knowledge of technological alternatives, business requirements, and business environments to recommend innovations that enhance and/or provide a competitive advantage to the organization. You will engage across Corporate Systems/IT to determine business needs, identify opportunities and issues, and develop related technical solutions and value propositions leveraging the power of AWS cloud technology. Responsible for domain level information strategy, architecture analysis, coordination, roadmap development, and execution, and play a key role in the design/development of data integration solutions. Working experience in system integration, including: interface design, and familiarity with web-oriented architecture techniques. Working experience in data modeling and information classification at the enterprise level including an understanding of common information architecture frameworks and information models. Working knowledge of data science concepts, as well as Metadata Management, MDM, business intelligence, and data warehouse design and implementation techniques. Experience in providing technical expertise and project leadership for core solutions by conducting industry and market research and evaluating/making recommendations regarding current and new domain knowledge and related technologies. Management Preferences: Enjoy working with partners across the COMPANY. You have a passion for educating, training, designing, and building cloud computing systems for one of the world’s largest and most important organizations. Lead Architects, Developers, and DBAs in strategy, architecture, data modeling and data management activities. Apply data management principles and industry standards to design, build and maintain complex information deliverables in Transactional/Operational, ODS, Data Warehouse and Data Marts applications. Experience in technical leadership accomplished through a broad understanding of industry trends. An excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders. Be able to translate the information architecture contribution to business outcomes into simple briefings for use by various data-and-analytics-related roles. Ability to understand the long-term ("big picture") and short-term perspectives of situations. Possess extensive knowledge of software/systems development in relevant technologies and application system development lifecycle methodologies. Perform analysis, synthesis and different perspectives to a changing array of business/IT challenges, many of them crossing lines of business in order to understand the underlying sources/causes and implications to the firm. Maintain positive and productive relationships with all customers and vendors, to understand customer needs, and to translate them into appropriate automated solutions. Develop a wide range of written materials related to architectural domains including position/policy statements, formalized strategies, roadmaps, blueprints, architecture patterns and guidance to business executives. Requirements: Minimum 10 years of experience in applying data management principles and industry standards to design, build and maintain complex data model assets in Transactional/Operational, ODS, Data Warehouse and Data Marts applications. Track record of implementing AWS services in a variety of business environments such as large enterprises. Experience working within the software development or Internet industries is highly desired. Effective communication skills and facilitation experience with business stakeholders to understand organization data needs and capture data requirements. Leadership in the fields of AWS Database and/or Data Warehousing, Data Sciences and Big Data processing. Experience with Statistics and Machine Learning is plus. Analyzes and translates business requirements into conceptual, logical and physical data designs. Experience working with Oracle, SQL Server, NoSQL and Hadoop databases and writing SQLs. Experience in delivering solutions using Agile and Iterative methodology. Strong analysis and deep problem-solving skills. Must be a self-motivated driver to find out data issues and resolve them quickly. Experience in vendor teamwork and working with onshore and offshore partner. Bachelor degree in Computer Science, Engineering or with a technology emphasis. 10+ years of architecture experience in data warehousing and operational data store delivery. Financial data and/or insurance exposure. AWS Experience. Strong analytical, problem solving, and troubleshooting skills. Strong oral and written communication skills. Strong creative thinking abilities. Ability to work effectively in a fast-paced environment and with changing priorities.

Keywords: Insurance, New York, NY, New York, Chief Data Officer, Executive, New York, New York

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