Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

Secret

Suitability:

Public Trust/Other Required:

None

Job Family:

Solutions Architect

Job Qualifications:

Skills:

Agile Methodology, Cloud Solutions, Platform as a Service (PaaS)

Certifications:

AWS Certified Cloud Practitioner - Amazon

Experience:

15 + years of related experience

US Citizenship Required:

Yes

Job Description:

GDIT is seeking a Solutions Expert to support its Technology Shared Services (TSS) Data and Analytics organization. Deliver simple solutions to complex problems as a Solutions Expert at GDIT. Here, you will design and tailor cutting-edge solutions to the unique requirements of our clients. You will be responsible for designing, implementing, and growing large-scale data and technology solutions for our customers.

You will find yourself at the heart of GDIT’s customer-centric approach, playing a pivotal role in ensuring our customers successfully meet their strategic goals. You will use your architecture and data skills to promote organizational goals to completion. If you enjoy collaborating with others in a fast-paced environment, you will find this role to be both rewarding and challenging.

HOW A SOLUTIONS EXPERT WILL MAKE AN IMPACT

• Grows GDIT’s data analytics, AI, and automation capabilities for federal and state/local customers.
• Supports growth and proposal initiatives to align data architectures, AI applications, and solutions to business objectives.
• Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions.
• Contributes to a variety of complex data-related projects, including machine learning, predictive modeling, and analytics.
• Manages customer requirements and analysis to design customer experience improvements and self-service interfaces.
• Leads application of generative AI to assist and improve customer experience processes for end users and agents.
• Leads implementations of virtual agents, chatbots, and other AI technology for customer projects.
• Mentors and advises data practitioners in analysis, engineering, and data science projects.
• Designs and builds cloud and data architectures in AWS, Google Cloud Platform, and Azure.
• Supports capture and proposal efforts to secure new or re-compete contracts, or task order business by developing technical solutions for capture strategy and proposal responses.
• Collaborate with different teams to understand their data needs and create solutions that solve problems and streamline workflows.
• Continually evaluate emerging technologies and stay updated on modern data science trends to implement in future projects.
• Provide marketing and technical documentation that supports the use of those solutions.
• Presents solutions and capabilities at conferences, directly to customers, and internally to the rest of GDIT.
• Guides the successful completion of major programs and may function in a project leadership role.
• Utilizes advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Uses predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.
• Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Designs, researches, and develops highly advanced processes, which may result in new product/business opportunities for the company.

WHAT YOU’LL NEED TO SUCCEED

• BA/BS and 15+ years of relevant experience or equivalent years of experience
• Expert-level experience in AWS, Google Cloud Platform, and/or Azure data architecture.
• Experience in Google Dialogflow or other conversational AI platforms.
• Experience in contact center technology implementations, such as Contact Center as a Service (CCaaS) and/or self-service virtual agents and chat bots.
• Relevant certifications in AWS, Google, Azure, and enterprise architecture (e.g., AWS Certified Solutions Architect Associate, Azure Fundamentals, Azure Data Fundamentals, TOGAF).
• Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction)
• Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI.
• Strong knowledge of data modeling, database design, and ETL processes.
• Ability to assist in the architecture and development of a DevSecOps, CI/CD analytics development pipeline environment using in-house and cloud-based technologies.
• Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate insights with attention to detail and accuracy.
• Good team player, able to manage multiple assignments, and adapt to changing client needs.
• Skilled in implementing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.)
• Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn), and data science platforms (like Databricks and SageMaker)
• Must be able to obtain and maintain a Secret clearance.

NICE TO HAVES:

• Experienced in implementing data governance, data quality, and data management for large organization.
• Implementation experience in Contact Center as a Service (CCaaS) platforms such as NICE CXone, Genysys, or Amazon Connect.
• Certifications in Google Public Cloud (GCP).
• Certifications in Databricks and/or Snowflake.
• Certification in AWS Certified Solutions Architect Professional
• Knowledge of ITIL framework
• Knowledge of Agile methodology
• Demonstrated experience consulting with internal and external customers to understand business needs and make recommendations.
• Previous experience in the defense or government sector.

GDIT IS YOUR PLACE

• Full-flex work week to own your priorities at work and at home
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays
• Collaborative teams of highly motivated critical thinkers and innovators
• Ability to make a real impact on the world around you

The likely salary range for this position is $140,899 - $178,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.