Our Client is a Leading International Insurance Company. They are looking for a Assistant Vice President of Data Engineering

Principal Duties and Responsibilities:

• Participate in long range strategic planning that addresses complex data management challenges
• Data Architecture:

a. Translate complex functional and technical requirements into detailed architecture, design and high performing capabilities; 

b. Lead the design and build of data patterns and services - both batch, real-time and complex event handing - leveraging open technologies; 

c. Ensure the timely delivery and constant communication of commitments meeting the expectations of stakeholders;

d. Effectively manage operational risk and change with a continuous focus on process improvements.

• People Management: Responsible for providing information, expertise and direction to a team of full time and contract staff
• Governance and Controls: Responsible for ensuring all data management processes conform to standard operating procedures and aligns with how a modern data architecture aligns to enterprise technology standards and policies; contribute and provide guidance around data quality, metadata management, data stewardship and security, and access controls. 
• Innovation and Continuous Improvement: Provide thought leadership and guidance around advancing new data technologies and capabilities that are value-driven; work closely with Manulife’s innovation teams (i.e., LOFT), remain current with industry advancements working closely external vendors as well connected to the Apache Foundation projects; develop actionable plans to improve operations and capabilities that have real cost, time and quality benefits. 

Qualifications

• 10-15 years professional experience in big data  
• Advanced analytical and project management skills (DevOps, Extreme Programming, Agile, and Waterfall) for a variety of tasks or projects.  Ability to deal with complex problems involving multiple facets, variables and situations where only limited standardization exists;
• Extensive expertise in data technologies and the use of data to support software development, advanced analytics and reporting.  Particular focus on Cloud (Azure) and Hadoop-based technologies and programming or scripting languages like Java, Linux, C++, PHP, Ruby, Python, R and SAS. Also expert knowledge should be present regarding different (NoSQL or RDBMS) databases such as Hawq/HDB, MongoDB, Cassandra or Hbase;
• Experience and capability in translating non-technical user requests into complex technical specifications and solutions that meet these requirements;
• Exceptional oral, written and interpersonal communication skills with the ability to simplify complex technical concepts into business & value-focused language.  A key requirement is to communicate clearly and consistently keeping stakeholders well-informed of progress and challenges;
• Excellent organizational and time management skills, with ability to multi-task.  Ability to work with minimal or no supervision while performing duties; has the ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player.
• Must be willing to travel up to 25% of the time.