Job Duties and Responsibilities:

• Oversee and direct efforts to identify information and technology solutions that enable business needs and strategies.
• Own and define DevOps pipelines and release management for data engineering
• Apply business knowledge and experience to effectively advise others on technology as an enabler.
• Lead efforts to analyze IT industry and market trends and determine potential impacts.
• Develop concepts and constructs necessary to create technology-enabled business systems.
• Influence technology direction and provide thought leadership and execution to large complex efforts.
• Utilize breadth of technical understanding and dive deep when necessary.
• Consult on and manage initiatives to ensure alignment across multiple business and IT areas.
• Proactively mitigate risks across multiple assets, information domains, technologies and platforms.
• Provide leadership, mentoring and technical guidance to others to drive initiatives.
• Facilitate communications that involve obtaining cooperation and agreement on issues that may be complex or controversial.
• Utilize negotiation and persuasion to come to agreement and to effectively form partnerships.
• Act as a change agent to continuously improve and move the organization forward.
• Accountable to successfully deliver the right results on initiatives in a timely and effective manner.
• Direct the work of others to lead initiatives that cross multiple assets, technologies, platforms, departments and vendors.
• Ability to work within a diverse team of skillsets and experience levels to deliver results.

Required Job Qualifications:

• Bachelor’s degree or equivalent experience in MIS, Computer Science, Mathematics, Business, or related field.
• 10+ years of experience in Technology related field including 3+ years prior lead experience.
• Implement and configure data platforms including but not limited to Hadoop, Spark, Scala, Kafka and batch integration is preferred.
• Working Experience developing data processes with Java, Python, R or other scripting languages preferred.
• Cloud experience is preferred.
• Expert knowledge of predictive analytics, statistical modeling, advanced mathematics, data integration concepts, business intelligence and data warehousing and implementing large systems.