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associate data analyst, washington d.c.

data analyst intern

data analytics technical expert

Pantheon Data

<div>Company Overview
Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies.
Position Overview
The Data Analytics Technical Expert provides executive-level analytics leadership, business intelligence expertise, and strategic guidance supporting enterprise analytics, performance management, and decision support capabilities.
Responsibilities<ul><li>
Lead analytics modernization initiatives.</li><li>
Direct business intelligence and data visualization efforts.</li><li>
Oversee performance measurement and reporting frameworks.</li><li>
Support project portfolio management and analytics governance.</li><li>
Conduct strategic analyses supporting mission objectives.</li><li>
Guide teams in the development of advanced reporting and dashboard solutions.</li><li>
Present findings to executive stakeholders.</li></ul>
Required Skills and Experience<ul><li>
Bachelor's degree in Engineering, Business, Data Analytics, or related field.</li><li>
CSPO, DHS Mid-Level Project Management Certification, or equivalent.</li><li>
10 years of relevant experience, or 5 years with a Master's degree.</li><li>
Ability to work effectively remotely in cross-functional teams.</li><li>
Ability to meet deadlines and produce quality work.</li><li>
Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.</li></ul>
Clearance Requirements
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Ability to obtain Public Trust prior to hire and maintain during employment is required.
Work Location: Hybrid - USCG HQ (DHS St. Elizabeth's Campus in D.C.)<ul><li>
Hybrid work schedule with periodic onsite support.</li><li>
Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</li><li>
If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site.</li><li>
If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements.</li></ul>
Compensation
The salary range for this position is $100,000 - $200,000. 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.
Benefits Overview
We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/
Pantheon Data Important Information
All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.
This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster</div>

Data Analytics Technical Expert

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary 
Revenue Integrity Informatics is seeking a Lead Director - Revenue Integrity Informatics (Medicaid) to join our highly dynamic Risk Adjustment analytics team. This senior-level role will provide strategic and operational leadership for all Medicaid risk adjustment analytics, reporting, and informatics functions to ensure complete, accurate, and compliant revenue capture.
This leader oversees the end-to-end risk adjustment lifecycle, including data management, suspecting, analytic insights, risk score reconciliation, and performance monitoring. They partner closely with clinical, actuarial, finance, market plans, and compliance stakeholders to support health plan and enterprise initiatives while ensuring alignment with state Medicaid and CMS regulatory requirements.
The Lead Director should also demonstrate leadership in innovation and adoption of modern technologies, data platforms, machine learning, process automation, AI, and data science for optimized insights, workflows, reporting, and process controls. This role will lead a team of managers and individual contributors with backgrounds in data science, analytics, statistics, data engineering, and informatics.
Key Responsibilities 
1. Strategic Leadership<ul><li>
Define and execute Medicaid risk adjustment strategy across markets and plans</li><li>
Lead and deliver high-impact strategic initiatives that improve revenue accuracy, compliance, and overall performance</li><li>
Align risk adjustment programs with state Medicaid models (e.g., CDPS, CRG, or state-specific methodologies)</li><li>
Represent risk adjustment Medicaid informatics in executive forums to drive alignment on strategic goals and translate analytics into actionable financial and operational strategies</li></ul>
2. Performance Analytics &amp; Reporting<ul><li>
Oversee health plan performance using advanced analytics and use proactive data insights to drive strategies and evidence-based decision-making</li><li>
Lead development of scalable data pipelines and reporting frameworks using claims, encounters, pharmacy, and clinical data</li><li>
Lead advanced analytics for risk score development, predictive modeling, forecasting, trend analysis, and opportunity identification</li><li>
Ensure accuracy, integrity and completeness of Medicaid encounter submissions and data</li><li>
Defines data analysis methodologies, subsequently driving predictive and prescriptive analytics projects and communicating insights to key stakeholders.</li></ul>
3. Risk Score Integrity &amp; Reconciliation<ul><li>
Establish and oversee processes to ensure accuracy, completeness, and integrity of risk capture</li><li>
Lead reconciliation of plan-calculated risk scores to state-reported scores, including variance analysis and root cause identification</li><li>
Monitor and validate encounter data submissions and their downstream impact on state risk scoring and payments</li><li>
Partner with actuarial and finance teams to ensure alignment between risk scores, revenue projections, and state payments</li><li>
Ensure readiness for state audits and external reviews through robust data validation and documentation practices</li><li>
Stay current on evolving Medicaid policies, state methodologies, and reporting requirements</li></ul>
4. Risk Adjustment Operational &amp; Program Insights<ul><li>
Direct suspecting logic development, gap identification, and prioritization strategies for operational programs and interventions</li><li>
Measure and evaluate program performance and locate opportunities for expansion, improvement, or savings</li><li>
Establish program KPIs to monitor intervention effectiveness</li><li>
Partner with clinical operations and vendor teams to ensure alignment with state requirements</li><li>
Align data strategies with value-based initiatives and provider-level drilldowns for consistent performance management across markets</li></ul>
5. Team Leadership &amp; Talent Development<ul><li>
Lead and develop a high-performing, multidisciplinary team spanning informatics, risk analytics, reporting, and operational program support</li><li>
Define a clear organizational structure, aligning roles across strategy, analytics, and process execution to ensure end-to-end accountability</li><li>
Establish governance frameworks for prioritization and execution of risk adjustment initiatives, ensuring alignment with enterprise goals, market needs, and regulatory timelines</li><li>
Drive integration across analytics and operations, ensuring that insights are translated into actionable intervention programs and measurable outcomes</li><li>
Develop talent strategy including coaching and mentorship of advanced analytics, Medicaid risk models, and leadership capabilities</li><li>
Foster a culture of data integrity, accountability, and continuous improvement optimization of workflows and analytic methodologies</li><li>
Ensure scalability and sustainability of operations by standardizing tools, reporting, and processes across markets</li><li>
Leverage automation and data infrastructure improvements to reduce manual effort and increase speed to insight</li></ul> 
Required Qualifications<ul><li>
10+ years of experience in healthcare analytics and reporting, risk adjustment including relevant working knowledge with claims</li><li>
3+ years of leadership experience including people managing, coaching, or mentoring team members</li><li>
Advanced technical skills in SAS, SQL, Python, or cloud-based analytics platforms (e.g. BigQuery, Snowflake, Databricks, or similar)</li><li>
Expertise in state and regulatory requirements, risk adjustment methodologies, and encounter data processes</li><li>
Strong knowledge of risk models (e.g., CDPS, CRG, HCC) and state reconciliation processes</li><li>
Proven ability to develop and execute strategic initiatives that deliver measurable business outcomes</li><li>
Demonstrated leadership experience managing cross-functional teams and large-scale programs</li><li>
Experience with data visualization tools (e.g. Tableau, Power BI, QuickSight, Looker, etc.).</li></ul> 
Preferred Qualifications<ul><li>
Knowledge of Medicaid Risk Adjustment</li><li>
Working with Medicaid Risk models</li><li>
Master&rsquo;s degree (e.g., Health Informatics, Data Science, Actuarial, Statistics, or MBA) preferred</li><li>
Experience working within a large national health plan or payer organization</li></ul> 
Education
Bachelor's degree preferred/specialized training/relevant professional qualification.
Pay Range
The typical pay range for this role is:
$100,000.00 - $231,540.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/31/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Lead Director, Healthcare Medicaid Risk Adjustment Analytics

hatch IT

<div>hatch I.T. is partnering with Expression to find an AI/ML Engineer. See details below:

About The Role:

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine learning capabilities that operate efficiently on heterogeneous edge computing platforms. Working closely with software engineers, you will develop AI pipelines that enable intelligent signal characterization, data prioritization, distributed inference, and decision support while operating within constrained compute, bandwidth, and communications environments.

The ideal candidate has strong expertise in applied machine learning, modern LLM technologies, edge AI optimization, and production deployment of AI systems.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression&rsquo;s &ldquo;Perpetual Innovation&rdquo; culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
<h3 class="jobSectionHeader">
Responsibilities:</h3><div>
<ul><li>Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support.</li>
<li>Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments.</li>
<li>Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems.</li>
<li>Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate.</li>
<li>Design AI orchestration workflows supporting distributed inference across multiple edge devices.</li>
<li>Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance.</li>
<li>Implement model monitoring, observability, testing, and automated evaluation frameworks.</li>
<li>Collaborate with software engineers to integrate AI models into production software platforms.</li>
<li>Optimize models using quantization, pruning, distillation deployment technologies.</li>
<li>Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data.</li>
<li>Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment.</li>
<li>Document model development, evaluation results, and technical recommendations.</li>
<li>Support customer demonstrations and prototype evaluations.</li>
</ul></div><h3 class="jobSectionHeader">Qualifications:</h3><div>
<ul><li>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred.</li>
<li>5-8+ years of professional experience developing production AI or machine learning applications.</li>
<li>Strong Python programming experience.</li>
<li>Experience with PyTorch.</li>
<li>Experience deploying LLMs in production environments.</li>
<li>Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks.</li>
<li>Experience implementing Retrieval-Augmented Generation (RAG).</li>
<li>Experience with vector databases and semantic search.</li>
<li>Experience deploying AI models on edge or resource-constrained devices.</li>
<li>Experience with model optimization techniques including quantization, model compression, or inference acceleration.</li>
<li>Experience designing evaluation frameworks for AI systems.</li>
<li>Experience with Docker and cloud-native AI deployment.</li>
<li>Excellent communication and collaboration skills.</li>
</ul></div><h3 class="jobSectionHeader">Preferred Qualifications:
</h3><div><ul><li>Experience applying AI to sensor analytics, time-series data, or signal processing.</li>
<li>Experience with software-defined radio data, RF analytics, or geospatial data analytics.</li>
<li>Experience developing multimodal AI applications.</li>
<li>Experience deploying AI across distributed edge computing environments..</li>
<li>Experience supporting DoD, Intelligence Community, or Federal customers.</li>
<li>Experience working in bandwidth-constrained or disconnected operational environments.</li>
<li>Experience supporting National Security or Federal Civilian customers.</li>
</ul>
</div><div><div>Benefits:

Expression offers competitive salaries and benefits, such as:
<ul>
<li>401k matching</li>
<li>PPO and HDHP medical/dental/vision insurance</li>
<li>Education reimbursement up to $10,000/yr</li>
<li>Complimentary life insurance</li>
<li>Generous PTO and 11 days of holiday leave</li>
<li>Onsite gym facility and trainer</li>
<li>Commuter Benefits Plan</li>
<li>In-office Cold Brew Coffee</li>
</ul>
</div></div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

AI/ML Engineer

<div>About the Team:

STR's Analytics &amp; C2 Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success.

The Collaborative Autonomy and Control (CAC) Group in the AC2 Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more.

The Role:

As an Autonomy Algorithms Lead Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA or Arlington, VA, and will take advantage of STR's flexible, hybrid environment &ndash; when the work does not require use of STR's facilities, you are welcome to work remotely.

Who You Are:
<ul>
<li>Active Top Secret clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government</li>
<li>BS in Computer Science or related technical field with 7+ years of experience</li>
<li>5+ years of experience with C++ or Java</li>
<li>Full stack development experience with a heavy focus on backend algorithmic development</li>
<li>Proven understanding of data structures, algorithms, concurrency, and code optimization of backend executables</li>
<li>Proven ability to develop, implement, integrate, and test autonomy algorithms and software</li>
<li>Not interested in Front end UI/UX or database management/interaction</li>
<li>Proven ability to work with research scientists to transition complex mathematical algorithmic concepts to software application</li>
<li>Proven ability to proactively lead and manage modest size engineering teams (5+ engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance</li>
<li>Demonstrated success driving industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products</li>
<li>Experience in leading system/software architecture design</li>
<li>Comfortable working both with internal leadership and external customers in the development and execution of software product plans</li>
<li>Experience utilizing the following:
<ul><li>Object-Oriented Programming principles for large scale systems</li>
<li>Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc</li>
<li>Test-driven development methodologies</li>
</ul></li></ul><ul><li>A demonstrated ability to adopt new languages, libraries, and technologies</li>
</ul>
Even Better:
<ul>
<li>MS or PhD in Computer Science or related technical field</li>
<li>Experience with the following:
<ul><li>Collection Orchestration</li>
<li>Satellite Constellation Management</li>
<li>Containerization and service-based architectures</li>
<li>Coordinating Electronic Warfare resources</li>
<li>Reinforcement learning</li>
<li>Agentic AI</li>
<li>Programming for embedded and physical devices</li>
<li>Multi-agent coordination of UxVs</li>
<li>MAVLINK or other C2 protocols</li>
<li>ROS</li>
<li>TAK</li>
<li>DevSecOps and CI/CD tool chains</li>
<li>Constraint satisfaction algorithms</li>
<li>Knowledge representation/ontologies</li>
<li>Python</li>
</ul>
</li></ul>Pay Information 
Full-Time Salary Range: $173,000 - $216,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.<div>
STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. 

STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.</div></div>

Autonomy Algorithms Lead Software Engineer

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
The Lead Cloud Solutions Engineer provides senior-level solutions engineering leadership for Humana's cloud-based CCaaS platforms, including Genesys Cloud and Google CX Agent Studio. This role drives implementation, integration, migration, and modernization efforts, including the Nuance Migration Project, by translating business needs into secure, scalable, and reliable technical solutions. 
The role partners across product, engineering, operations, architecture, security, compliance, and vendor teams. This partnership delivers cloud-enabled contact center capabilities aligned with Humana's modernization standards, approved design patterns, and operational expectations.This position represents a senior technical leadership role combining deep hands-on engineering expertise, architecture ownership, and cross-functional leadership. The Lead Cloud Engineer sets technical direction, defines standards, and ensures successful delivery of scalable, secure, and high-performing cloud-based customer experience platforms. The role handles highly complex challenges, influences enterprise technology strategy, and operates with broad autonomy.
The Lead Cloud Solutions Engineer is a senior hands-on technology leader within Humana's Customer Experience Center Platform ecosystem. This leader is focused on delivering practical, scalable, and secure cloud-based solutions across platforms such as Genesys Cloud and Google CX Agent Studio.
This role partners closely with product teams, engineering teams, operations, enterprise architecture, and vendor partners to translate business needs into effective technical solutions. The Lead Cloud Solutions Engineer drives solution design, implementation planning, platform integration, automation, and delivery execution while ensuring alignment with enterprise standards for security, reliability, compliance, and performance.
The role emphasizes solutions engineering, hands-on technical leadership, platform enablement, and delivery outcomes rather than enterprise architecture ownership. The Lead serves as a technical problem-solver and engineering advisor, helping teams modernize contact center capabilities, improve customer and associate experiences, and maximize the value of Humana's cloud-based CCaaS investments.<h3 class="jobSectionHeader">
Primary Responsibilities</h3><ul><li>
Lead solutions engineering and technical delivery for Humana's cloud-based Contact Center as a Service platforms, including Genesys Cloud, Google CX Agent Studio / Dialogflow CX, and related GCP services.</li><li>
Translate business, product, and operational requirements into secure, scalable, and supportable technical solutions.</li><li>
Provide hands-on technical guidance for platform configuration, application integration, API enablement, automation, testing, deployment readiness, troubleshooting, and production stabilization.</li><li>
Support major modernization and migration initiatives, including legacy platform exits and the Nuance migration, by driving technical execution and removing delivery blockers.</li><li>
Partner with product, software engineering, cloud engineering, operations, enterprise architecture, security, compliance, and vendor teams to deliver high-quality CCaaS and conversational AI capabilities.</li><li>
Lead implementation of omnichannel customer engagement solutions, including voice, chat, routing, authentication, virtual agents, automation, reporting, and analytics.</li><li>
Promote reusable engineering patterns, implementation standards, documentation, and operational best practices.</li><li>
Evaluate and pilot emerging capabilities in conversational AI, cloud-native platforms, analytics, and automation to improve customer and associate experiences.</li><li>
Ensure delivered solutions meet enterprise expectations for security, compliance, reliability, scalability, observability, performance, and cost efficiency.</li><li>
Serve as a senior technical advisor and escalation point for complex platform, integration, and production issues.</li><li>
Mentor engineers and contribute to a collaborative engineering culture focused on delivery quality, operational stability, and continuous improvement.</li></ul><h1 class="jobSectionHeader"> 

Use your skills to make an impact
 
</h1><h3 class="jobSectionHeader">Required Qualifications</h3><ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
10+ years of experience delivering complex software, cloud, SaaS, or platform-based technology solutions.</li><li>
Experience leading technical delivery for cloud, SaaS, CCaaS, customer experience, or enterprise integration platforms.</li><li>
Hands-on experience with solution implementation, application integration, APIs, cloud services, automation, testing, troubleshooting, and production support.</li><li>
Experience working with cross-functional teams, including product, engineering, operations, architecture, security, compliance, and vendor partners.</li><li>
Strong analytical, problem-solving, communication, and technical leadership skills.</li><li>
Ability to guide engineering teams, influence technical decisions, and drive delivery outcomes in a matrixed environment.</li><li>
Commitment to improving customer, member, and associate experiences through reliable and modern technology solutions.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with CCaaS platforms such as Genesys Cloud, NICE, Five9, Amazon Connect, or similar customer engagement platforms.</li><li>
Experience with Google CX Agent Studio, Dialogflow CX, Vertex AI, BigQuery, Cloud Run, GKE, or other GCP services.</li><li>
Experience delivering conversational AI, IVR, virtual agent, speech recognition, routing, chat, messaging, or contact center automation solutions.</li><li>
Experience integrating CCaaS platforms with enterprise systems such as Salesforce, ServiceNow, Microsoft Dynamics, identity providers, data platforms, and API gateways.</li><li>
Experience with cloud migration, platform modernization, vendor transition, or legacy platform retirement initiatives.</li><li>
Understanding of cloud security, IAM, networking, monitoring, logging, cost optimization, and operational support practices.</li><li>
Experience with Agile, SAFe, or hybrid delivery models.</li><li>
Experience creating technical documentation, implementation patterns, operational runbooks, and engineering best practices.</li><li>
Healthcare or regulated industry experience preferred.</li></ul><h3 class="jobSectionHeader">
Google Cloud Platform (GCP) &amp; Conversational AI &ndash; Preferred Skills</h3><ul><li>
Hands-on experience with Google Cloud Platform services for customer experience, contact center, conversational AI, or enterprise integration use cases.</li><li>
Experience with Google CX Agent Studio or Dialogflow CX, including agent design, conversation flows, intents, entities, fulfillment, integrations, and environment management.</li><li>
Experience with Vertex AI or other AI/ML capabilities for customer experience use cases, including model consumption, prompt-based solutions, inference, and AI-enabled automation.</li><li>
Experience using BigQuery for reporting, analytics, operational insights, conversation analysis, or large-scale data processing.</li><li>
Experience with Cloud Run, Google Kubernetes Engine, Compute Engine, or similar services for scalable application and integration deployments.</li><li>
Understanding of GCP security and operational practices, including IAM, service accounts, networking, logging, monitoring, alerting, and cost management.</li><li>
Experience integrating GCP services with CCaaS platforms, APIs, webhooks, event streams, enterprise applications, data platforms, and identity services.</li><li>
Exposure to speech recognition, text-to-speech, natural language processing, conversation analytics, sentiment analysis, and AI-driven contact center insights.</li><li>
Experience implementing observability, logging, monitoring, and troubleshooting practices for cloud-based conversational AI and contact center solutions.</li></ul>
Additional Information
Work-At-Home Requirements<ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul>
Work at Home Requirements To ensure Home or Hybrid Home/Office employees&rsquo; ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. 
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$129,300 - $177,800 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About us 
</h1>
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

Lead Cloud Engineer - Contact Center Technology

Bank Fund Staff Federal Credit Union

<div>Description:

BankFund Credit Union is a full-service financial cooperative that was organized and chartered in 1947 as a convenient place for employees of the World Bank Group and International Monetary Fund and their families to save and to obtain credit. Located in Washington, DC, BankFund maintains three full-service branches downtown with our headquarters located near Farragut West metro station. This position is classified as a hybrid role which means that on-site work will be expected. After completion of training for the role, staff generally work on site 40% of the time but this is subject to change based on health and safety standards and operational need. 
Responsibilities:
Interest Rate Risk &amp; Asset-Liability Management<ul><li>Administer and maintain the Credit Union's interest rate risk (IRR) measurement and monitoring framework under the direction of the Treasurer.</li><li>Support the Treasurer in assessing and managing balance sheet risk through quantitative analysis, forecasting, stress testing, and scenario analysis.</li><li>Perform and maintain analyses measuring earnings-at-risk, net economic value (NEV), net interest income (NII), repricing risk, basis risk, yield curve risk, and options risk.</li><li>Develop, maintain, and analyze model assumptions, including prepayment, deposit behavior, repricing, and other key behavioral assumptions used in ALM and IRR modeling.</li><li>Evaluate the sensitivity of earnings and capital to changes in interest rates and economic conditions and provide analysis to support strategic decision-making.</li><li>Conduct attribution and sensitivity analyses to identify and explain key risk and performance drivers across the balance sheet.</li><li>Perform back-testing and monitoring of assumptions and model results to support forecasting accuracy and continuous improvement.</li><li>Provide analytical support for budgeting, business planning, liquidity management, capital planning, and other balance sheet management initiatives.</li><li>Maintain knowledge of balance sheet management practices, monetary policy, financial markets, and interest rate risk management methodologies to support the Treasurer and ALCO.</li></ul>
Governance &amp; Model Risk Management<ul><li>Support the Treasurer in maintaining the Credit Union's Asset Liability Management (ALM) and Interest Rate Risk (IRR) programs in accordance with Board-approved policies, regulatory guidance, and industry best practices.</li><li>Administer model governance processes, including assumption management, change control, documentation, validation support, and performance monitoring.</li><li>Calculate, monitor, and report Board-approved interest rate risk metrics and policy limits.</li><li>Develop and maintain procedures and controls designed to ensure the completeness, accuracy, and reliability of ALM and IRR data, assumptions, and reporting outputs.</li><li>Coordinate and support internal audits, external audits, regulatory examinations, model validations, and third-party reviews.</li><li>Monitor emerging regulatory expectations and industry developments and recommend program enhancements to the Treasurer.</li></ul>
Reporting &amp; Communication<ul><li>Lead the preparation, quality assurance, and distribution of ALM and interest rate risk reporting for Senior Management, ALCO, the Finance Committee, and the Board of Directors.</li><li>Develop clear and actionable analyses that support the Treasurer's recommendations regarding balance sheet risk and performance.</li><li>Prepare presentations, executive summaries, and supporting materials explaining risk exposures, forecasted performance, stress-test results, and key assumptions.</li><li>Present analytical findings and risk assessments to ALCO, management committees, and other stakeholders as requested by the Treasurer.</li><li>Translate complex financial and quantitative analyses into meaningful insights for both technical and non-technical audiences.</li><li>Support the Treasurer in evaluating strategic alternatives by providing timely analysis of potential risks, opportunities, and financial impacts.</li></ul>
Data, Systems &amp; Analytics<ul><li>Design, maintain and enhance analytical models, systems, tools, and reporting processes supporting asset liability management and interest rate risk measurement.</li><li>Develop automated solutions for data collection, validation, analysis, and reporting to improve efficiency, accuracy, and scalability.</li><li>Manage data quality control processes and data integrity testing associated with ALM and IRR reporting.</li><li>Perform data extraction, transformation, analysis, and reporting using large and complex data sets.</li><li>Coordinate with internal stakeholders and external vendors to support system enhancements, data improvements, and reporting capabilities.</li><li>Evaluate existing processes, technologies, and analytical tools and recommend opportunities for improvement.</li></ul>
Program Leadership &amp; Collaboration<ul><li>Serve as the Treasurer's primary analytical resource for interest rate risk, forecasting, stress testing, and balance sheet analytics.</li><li>Lead projects and initiatives related to ALM, interest rate risk management, scenario analysis, forecasting, and model enhancements.</li><li>Coordinate with Treasury, Accounting, FP&amp;A, Lending, Risk Management, Data, and other business units to support effective balance sheet management.</li><li>Develop and maintain productive working relationships with vendors, consultants, auditors, and regulators as applicable.</li><li>Identify opportunities to improve analytical processes, reporting quality, controls, and operational efficiency.</li><li>Communicate project status, emerging risks, issues, and recommendations to the Treasurer and other stakeholders in a timely manner.</li></ul> 
For internal purposes, this position is graded as Exempt - 15.
The anticipated annualized base salary range for this position is $158,000 to $198,000. Final base salary for this role will be based on the individual&rsquo;s job-related experience, skillset, training, certifications and market demands. The benefits available for this full-time position include but are not limited to: medical, dental, and vision insurance, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and paid time off, including paid parental leave benefits. In addition to base compensation salary, this role position is eligible for an annual incentive plan.
Requirements:

 Minimum Qualifications:
Education<ul><li>Bachelor&rsquo;s degree in finance, Economics, Actuarial Science, Mathematics, Economics, Computer Science, or a related field required.</li><li>Master&rsquo;s degree in finance, Economics, Business Administration or a related discipline preferred.</li><li>Professional designation (e.g. CFA, FRM, PRM) is valued.</li></ul>
Experience<ul><li>5+ Years of progressive experience in asset liability management, interest rate risk management, treasury, finance, risk management, or related functions within a financial institution.</li><li>Experience utilizing ALM modeling software and related analytical tools.</li><li>Experience developing and presenting executive-level analyses, recommendations, and reports.</li><li>Experience preparing materials for senior management committees, ALCO, boards, or regulatory audiences.</li><li>Experience working with large and complex financial data sets.</li><li>Experience developing automated analytical, reporting, or workflow solutions preferred.</li><li>Experience supporting regulatory examinations, audits, model validations, or governance processes preferred.</li></ul>
Knowledge, Skills and Abilities Required<ul><li>Strong communication skills and the ability to work independently, with a proactive approach to engaging coworkers, other departments, external vendors, and business partners to build strong working relationships and efficiently resolve issues.</li><li>Excellent analytical, quantitative, problem-solving, organizational, and time management skills with strong attention to detail.</li><li>Strong understanding of asset liability management principles and interest rate risk measurement methodologies.</li><li>Knowledge of Net Interest Income (NII), Net Economic Value (NEV), Economic Value of Equity (EVE), earnings-at-risk, stress testing, scenario analysis, and forecasting methodologies.</li><li>Solid understanding of financial institution practices relating to deposit behavior modeling, mortgage prepayments, and other key ALM assumptions.</li><li>Strong knowledge of balance sheet management practices, liquidity management, and financial institution funding strategies.</li><li>Strong written and verbal presentation skills with the ability to communicate complex quantitative concepts and analytical results to executives, management committees, regulators, and non-technical audiences.</li><li>Demonstrated ability to develop actionable recommendations supported by sound quantitative analysis.</li><li>Experience utilizing ALM modeling software and related analytical tools.</li><li>Advanced proficiency in financial modeling, forecasting, and data analysis.</li><li>Experience working with large and complex data sets, including data extraction, validation, transformation, and reporting.</li><li>Experience with reporting, data visualization, and business intelligence tools.</li><li>Experience with SQL, Power BI, Python, VBA, or other analytical and automation tools preferred.</li><li>Experience with data governance, data warehousing, reporting architecture, and analytical best practices preferred.</li><li>Familiarity with model governance practices, including assumption management, validation support, documentation, and change management.</li><li>Working knowledge of fixed-income securities, mortgage-backed securities, collateralized mortgage obligations, and related cash flow characteristics preferred.</li><li>Familiarity with Bloomberg, option-adjusted spread methodologies, Monte Carlo simulations, or other fixed-income analytical techniques preferred.</li><li>Strong understanding of regulatory expectations and industry best practices relating to asset liability management and interest rate risk management.</li><li>A demonstrated commitment to continuous learning and maintaining expertise in financial markets, balance sheet management, and emerging risk management practices.</li></ul></div>

ALM Program Manager

Q2Impact

<div>Project Summary: This contract supports the Joint Staff Strategy, Plans, and Policy Directorate (J5), through its Deputy Directorate for Counter Threats and International Cooperation (DDCTIC), in meeting the minimum statutory requirements of Public Law 115-68, the Women, Peace, and Security (WPS) Act of 2017. The contract delivers WPS training and education for the Joint Force, sociocultural analysis, and data collection for annual statutory reporting. The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building and maintaining the data pipelines, repositories, and AI-enabled tools that allow analysts and senior decision-makers across the directorate to access mission-critical information. This position is full-time and is contingent upon award. 
Position Summary: The Data Engineer designs, builds, and maintains the data infrastructure supporting J5 WPS statutory reporting and analytical functions. The role is responsible for identifying and integrating mission-critical data sources from across the DoW and interagency partners, managing curated datasets within the J5 Data Catalog, and developing and maintaining WPS AI agents. The Data Engineer works closely with WPS analysts and Joint Staff leadership to ensure data assets are standardized, documented, and decision-ready. 
General Duties and Responsibilities:<ul><li>
Identify, acquire, and engineer access to mission-critical data sources from across the DoW and interagency partners.</li><li>
Design, build, and maintain automated data pipelines to ingest, clean, and integrate data into a centralized repository.</li><li>
Publish and manage curated datasets as discoverable assets within the J5 Data Catalog, ensuring documentation, standardization, and accessibility for analysts and decision-makers.</li><li>
Develop and maintain WPS AI agents in support of J5 analytical and reporting requirements.</li><li>
Support data collection and collation for NATO reporting requirements and annual WPS statutory reporting.</li><li>
Produce interactive dashboards and data visualizations for senior military leadership, including Flag Officers, General Officers, and SES members.</li><li>
Prepare and present technical materials to senior leadership as required.</li><li>
Contribute to Monthly Status Reports and other deliverables as required by the PWS.</li></ul> 
Qualifications:<ul><li>
Proven, hands-on expertise in data engineering, including building and maintaining secure data pipelines and managing data warehouse solutions in a cloud environment (e.g., AWS, Azure).</li><li>
Expert-level proficiency in data programming languages (e.g., Python, R).</li><li>
Experience developing interactive dashboards for senior leadership using visualization tools (e.g., Tableau, Power BI).</li><li>
Ability to prepare and present materials to Flag Officers, General Officers, or Senior Executive Service (SES) members.</li><li>
Familiarity with DoW data governance frameworks and interagency data-sharing protocols preferred.</li><li>
Experience with AI/ML tool development in a government or national security context preferred.</li><li>
Minimum of three (3) years of experience leading data-centric programs, with demonstrated expertise in designing and implementing enterprise data strategy, architecture, and governance.</li><li>
Minimum of five (5) years of function-related experience at the operational or strategic level, with a demonstrated understanding of DoW organization and operations.</li><li>
Experience includes joint doctrine, strategic planning, the operational planning process, and DoD security cooperation.</li><li>
Proficiency in Microsoft Office suite required.</li><li>
Master's degree or higher in Data Science, Computer Science, Statistics, or a related quantitative field.</li></ul>
Location and Travel: Pentagon / National Capital Region (NCR). Telework considered only on an exception basis. Travel in support of contract requirements as directed by the COR. 
Requirements 
Required Security Clearance: U.S. Citizenship required. Must possess and maintain a final Top Secret (TS) security clearance, fully adjudicated with an indication of &quot;determined eligibility of DCID 6/4&quot; in the Joint Personnel Adjudication System (JPAS).</div>

Data Engineer

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