• Serving as the primary point of contact for a portfolio of clients - including those working on AI policy, advocacy, and communications - building trusted relationships and ensuring research findings are delivered clearly, on time, and with strategic context • Designing and launching surveys that will be taken by hundreds of thousands of Americans, with a focus on public attitudes toward AI, technology policy, and related issues • Overseeing the fielding of multiple surveys simultaneously - managing timelines, budgets, and data collection targets while liaising between data scientists, engineers, and client-facing stakeholders • Analyzing data to answer questions from policy advocates, strategists, and clients operating in the AI space • Building subject matter expertise in AI policy and public opinion, and thinking critically about our data in order to discern real trends from potential data quality issues to flag for our machine learning data scientists • Supporting external outreach efforts, including presentations to clients, political partners, and other vendors and consultants • Partnering with BRR leadership to inform decisions about research scope and prioritization - including what questions are worth asking, what use cases are and aren't well-suited to our tooling, and how to deploy our research capacity where it will have the most impact • Contributing new ideas to the ways we analyze, interpret, and communicate our data - we strive to deliver the best strategic guidance and believe that everyone on the team is part of that goal • Providing product feedback to engineers to improve our tools for internal and external usage, including the interfaces clients and internal teams use to access and interact with our research.

• Analyzes, designs, develops, tests, and implements new application components. • Maintains and optimizes already deployed Enterprise applications. • Demonstrates high-level technical skills and shows technical leadership abilities. • Keen eye towards ensuring high quality standards have been delivered on technology projects. • Designs and develops software and data testing plans according to specifications, adhering to all phases of the Software Development Life Cycle and the standard enterprise architecture. • Assists in defining, documenting, and developing software testing results in collaboration with the project team. • Contributes to the review and analysis of business requirements. • Contributes to the architecture and technical design discussions, code reviews and technical designs/specifications. • Creates thoughtful project documentation and technical specifications. • Documents test cases and executes tests to ensure quality software is delivered. • Assesses the impact of software changes and new development on other systems; conducts integration tests to mitigate risks. • Takes technical direction from senior team members and participates in a knowledge-sharing environment. • Participates in agile team processes. • Provides reasonable work estimates and communicates deviations from estimates or work product in advance of deadlines. • Develops, monitors, and tracks the progress of action plans. • Supports production applications. • Adheres to all company policies and procedures, including Information Security Policies and ensure that AMSURG remains as secure as possible.

Title: Appian Data & Insights Analyst Job Description: Appian Data & Insights Analyst (Must have Appian Experience) Location: Remote, US Based, East Coast Working Hours Job Description ASRC Agile Decision Sciences LLC is currently seeking qualified candidates to support our Army G-1 mission under the CECOM SEC SETA program at Aberdeen Proving Ground, MD. ASRC is seeking a qualified candidate to fill the Appian Data Analyst Senior position to support our customer at Aberdeen Proving Ground. The Data Analyst Senior will leverage Appian’s analytics and reporting capabilities to provide advanced data analysis, visualization, and reporting for the DAMIS program. This role directly supports Army G-1 by delivering actionable insights, ensuring compliance, and enabling leadership to make informed, data-driven decisions. Responsibilities - Collect, clean, and interpret datasets within DAMIS and across Army personnel systems - Build Appian dashboards and visualizations providing real-time readiness and compliance metrics - Apply statistical and analytical methods to support Army G-1 mission requirements - Identify trends, gaps, and opportunities for process improvement in DAMIS workflows and reporting - Support integration of Appian data with external Army systems and enterprise platforms - Collaborate with developers, Scrum Masters, and Army stakeholders to enable data-driven sprint execution Required Qualifications - Bachelor’s degree in Computer Science, Engineering, Data Science, or 4+ additional years of relevant work experience - 5+ years of experience in Data Analysis - 2+ years of professional data analysis experience with Appian - Strong written and verbal communication skills, with the ability to translate complex data into actionable insights - US Citizenship Desired Qualifications - Prior DoD or Army data analysis experience - Active DoD Secret clearance highly desired - Familiarity with Palantir, AI/ML techniques, or predictive analytics - Proficiency with SQL and BI/analytics tools (Power BI, Tableau) - Security+ or related DoD 8570 certification Security Requirement This position requires the successful applicant to obtain and maintain the required DoD Secret security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s).

• Lead advanced data analytics, statistical modeling, and predictive analysis initiatives to support readiness based sparing models to support decision-making and strategic planning. • Partner with senior stakeholders to define analytical objectives, shape problem statements, and translate business challenges into actionable, data-driven strategies. • Enforce, maintain and contribute process improvements to documented enterprise data definitions, business rules, governance frameworks, and data quality standards. • Provide technical leadership and mentorship to junior analysts, supporting skill development and analytical best practices. • Serve as a trusted advisor and subject matter expert on data analytics methodologies, tools, and advanced analytical techniques. • Contribute technical expertise in data needed and structure to develop and model the simulation to identify the most effective option on the readiness cost curve. • Participate in planning sessions to acquire detailed information develop data pipeline architecture that align with project requirements. • Extract supporting data from identified tools, review available supportability reports and engineering details to assess quality of data prior to developing a readiness at cost model. • Document data gathering processes, pipeline configurations, and data flows to ensure consistency and future support. • Identify, define, and lead continuous improvement initiatives for analytics processes, data workflows, and system performance. • Ensure accuracy and completeness of all documentation. • Foster effective collaboration with cross-functional teams to achieve project objectives. • Communicate complex technical information clearly and effectively. • Utilize identified software and follow business rules and processes. • Identify areas to improve efficiency and accuracy and integrate those into modeling best practices.