Big Data and Innovation Support Lead

Job Description
IBM Global Business Services (GBS) is a team of business, strategy and technology consultants enabling enterprises to make smarter decisions and providing unparalleled client and consumer experiences in cognitive, data analytics, cloud technology and mobile app development. With global reach, outcome-focused methodologies and deep industry expertise, IBM GBS empowers clients to digitally reinvent their business and get the competitive edge in the cognitive era in over 170 countries.

DO YOUR BEST WORK EVER

The Public Service Sector consulting practice is a trusted advisor to federal, state and local governments, partnering to meet challenges and responding quickly to citizen demands, business needs, new economic conditions, and changing legislative priorities and policies.

Ready to transform the way the Federal Government works and solves its problems? At IBM, we're strongly committed to the advancement of open Internet standards and applications. Join us to help IBM deliver world-class solutions for our public sector customers - some of the most important customers in the world! Show them how the complex can be made easy.

The Big Data and Innovation Support Lead is responsible for defining a Big Data implementation framework; translating mission needs into Big Data system, analytic, and visualization tools requirements; and working with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data; responsible for managing digital data that comes from many different data providers; consists of a variety of structured, semi-structured, and unstructured data types; and has an enormous volume, varying velocity (periodic static documents to real-time data feeds), and is rapidly growing. Additionally, the Big Data and Innovation Support Lead is responsible for the design, development, test, deployment, and use of associated advanced analytic and data science tools including, but is not limited to, data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.

This position is contingent on the contract being awarded to IBM by the US Federal Government. It is located in northern Virginia.

BENEFITS
Health Insurance. Paid time off. Corporate Holidays. Sick leave. Family planning. Financial Guidance. Competitive 401K. Training and Learning. We continue to expand our benefits and programs, offering some of the best support, guidance and coverage for a diverse employee population.

CAREER GROWTH
Our goal is to be essential to the world, which starts with our people. Company wide we kicked off an internal talent strategy program called Go Organic. At our core, we are committed to believing and investing in our workforce through:

Skill development: helping our employees grow their foundational skills
Finding the dream job at IBM: navigating our company with the potential for many careers by channeling an employee's strengths and career aspirations
Diversity of people: Diversity of thought driving collective innovation
In 2015, Go Organic filled approximately 50% of our open positions with internal talent that were promoted into the role.

CORPORATE CITIZENSHIP
With an employee population of 375,000 in over 170 countries, amazingly we connect, collaborate, and care. IBMers drive a corporate culture of shared responsibility. We love grand challenges and everyday improvements for our company and for the world. We care about each other, our clients, and the communities we live, work, and play in!
http://www.ibm.com/ibm/responsibility/initiatives.html
http://www.ibm.com/ibm/responsibility/corporateservicecorp

TSSCIFSP18

Required Technical and Professional Expertise

  • A minimum of a TS/SCI with Full Scope Polygraph security clearance
  • A minimum of a Bachelor's degree in computer science, data analytics, software engineering, or related technical field
  • A minimum of five years of hands-on experience with Big Data applications, such as Hadoop, and associated applications (e.g., administration, CM, monitoring, performance tuning, etc.)


Preferred Tech and Prof Experience

  • Experience working in a Government mission Data Exploitation environment (e.g., acquiring data, storing data, processing data, analyzing data, visualizing data, turning data into intelligence products, disseminating data, and knowledge management).
  • Experience supporting a cloud computing environment (e.g., private, hybrid, and/or public).
  • Experience leading and managing cross-functional technology team.
  • Experience leading major programming/scripting languages like Java, Linux, C++, PHP, Ruby, Python and/or R.
  • Experience working with ETL tools such as Informatica, Talend, and/or Pentaho
  • Experience designing solutions for multiple large data warehouses with cluster and parallel architecture as well as high-scale or distributed platforms.
  • Experience in the research and development of applications/services in disciplines such as: Natural Language Processing, Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis testing.


EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


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