ai analyst

<div></div><div><div>Location Bethesda-Chevy Chase, Maryland Category Engineering, Technology, &amp; Science Job Type Full time Job Id R2110267 Posted Date 06/09/2026 
</div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div></div><div>JOB DESCRIPTION
</div><div>Title:
AI Analyst
Belong. Connect. Grow. with KBR!
KBR&rsquo;s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.
Why Join Us?
<ul><li>Innovative Projects: KBR&rsquo;s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.</li>
</ul><ul><li>Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.</li>
</ul><ul><li>Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.</li>
</ul>This is a contingent position based upon contract award
KBR is seeking a highly motivated and experienced professional to join our team as an AI Analyst. This is a contingent hire for a full-time client facing position supporting a government agency. As a key member of our team, you will play a critical role in ensuring the reliability and accuracy of our AI technologies and products. You will work on a broad range of projects, from initial development to deployment
Key Responsibilities:
<ul><li>Develop and implement artificial intelligence and machine learning solutions using emerging technologies such as deep learning, natural language processing, generative AI, and Agentic AI.</li>
<li>Analyze complex data sets to identify patterns and trends and designs and develops AI/ML models to solve business problems.</li>
<li>Utilizes understanding of model differences and applicability across different use cases to advise on appropriate solutioning for a variety of functions.</li>
<li>Identify potential data security and integrity issues ahead of implementation.</li>
<li>Develop and apply current verification and validation paradigms, including model testing, simulation, and formal methods, to ensure the accuracy and reliability of AI systems.</li>
<li>Work collaboratively with cross-functional teams to develop and deploy AI solutions.</li>
</ul>Qualifications:
Required:
<ul><li>Bachelor's degree in computer science, Electrical Engineering, or Computer Engineering</li>
<li>Minimum of five (5) years of artificial intelligence experience</li>
<li>Active TS/SCI
</li></ul>Desired:
<ul><li>Strong background in software engineering, artificial intelligence, and machine learning.</li>
<li>Experience with current verification and validation paradigms, including model testing, simulation, and formal methods.</li>
<li>Experience developing with machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, Keras, etc.).</li>
</ul>Basic Compensation:
$125,200 - $187,700
This range is for the Maryland area only
The offered rate will be based on the selected candidate&rsquo;s knowledge, skills, abilities and/or experience and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.
Ready to Make a Difference?
If you&rsquo;re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
KBR Benefits
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&amp;D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
Belong, Connect and Grow at KBR
 
 
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
Belong, Connect and Grow at KBR
 
 
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</div></div>

AI Analyst

NATIONMIND LLC

<div><div><div>About NationMind LLC: 
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Business Analyst with Prompt Engineering to join our growing team. 
 
Role: AI Business Analyst with Prompt Engineering 
Location: Houston, TX or US Remote 
Duration: 6-12 Months 
</div><div>Job Description</div>
<div>We are seeking an AI Business Analyst with Prompt Engineering experience to support AI-driven business initiatives and enterprise AI operations. 
</div><div>Required Qualifications</div>
<ul><li>Strong business analysis experience in AI, IT operations, automation, software delivery, digital transformation, enterprise support, platform enablement, or SaaS operations.</li>
<li>Good understanding of GenAI tools and platforms such as ChatGPT Enterprise, Claude Enterprise, OpenAI API, enterprise AI workspaces, and model orchestration concepts.</li>
<li>Experience with Slack-based support, Zendesk, Jira, Confluence, ServiceNow, or similar intake, workflow, and ticketing platforms.</li>
<li>Understanding of AI agents, tool calling, prompt behavior, human-in-the-loop workflows, agent lifecycle management, and runtime orchestration concepts.</li>
<li>Understanding of license management, user provisioning, Okta SCIM, access approvals, enterprise identity workflows, and access governance concepts.</li>
<li>Ability to convert ambiguous business and AI operations needs into structured requirements, workflows, user stories, acceptance criteria, test cases, and operating procedures.</li>
<li>Strong process mapping skills for workflows involving users, systems, approvals, exceptions, escalations, and operational support flows.</li>
<li>Ability to work with technical teams on APIs, integrations, MCP tools, data sources, runtime behavior, and model configuration requirements.</li>
<li>Experience working in Agile delivery teams with sprint planning, backlog grooming, demos, velocity tracking, and iterative delivery methodologies.</li>
<li>Ability to write clear process documents, SOPs, runbooks, user guides, support playbooks, and structured operational documentation.</li>
<li>Strong stakeholder management and communication skills across business users, product owners, engineering, security, governance, platform, and support teams.</li>
<li>Working knowledge of AI governance concepts including data privacy, access control, retention, redaction, model usage policies, responsible AI, and enterprise governance requirements.</li>
<li>Comfortable creating structured documentation for agent builds, testing, deployment, operational support, lifecycle management, and release processes.</li>
</ul><div>Key Responsibilities</div>
<ul><li>Gather, analyze, and document business requirements for AI and enterprise operations initiatives.</li>
<li>Support AI platform operations, automation workflows, and digital transformation programs.</li>
<li>Collaborate with cross-functional teams including business users, product owners, engineering, security, governance, and support teams.</li>
<li>Define and document workflows, user stories, acceptance criteria, test cases, SOPs, runbooks, and operational procedures.</li>
<li>Assist in AI agent lifecycle management, prompt engineering activities, workflow orchestration, testing, deployment, and operational support.</li>
<li>Support integrations involving APIs, MCP tools, enterprise systems, and AI platforms.</li>
<li>Ensure adherence to AI governance, data privacy, access control, and enterprise compliance requirements.</li>
<li>Participate in Agile ceremonies including sprint planning, backlog grooming, demos, and delivery tracking.</li>
</ul>
</div>This is a remote position.</div>

AI Business Analyst with Prompt Engineering

Howard-Sloan Search

<div>
 
 
 Our client Global Investment Management Firm
 
 
 
 
 is seekng
 
 
 
 Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 
 
 
 for a
 
 Full Time role
 
 
 4 days onsite / 1 day remote in their Park Avenue, New York offices
 
 
 
 Salary:
 
 $95&ndash;100K base / 10&ndash;15% bonus
 
 
 
 Level
 
 : Analyst, Data Science &amp; Analytics
 
 
 
 
 
 
 This role Reports to
 
 :
 
 
 MD, DSA
 
 
 &amp;
 
 
 Executive Director, AI &amp; Business Analysis (AI Lead)
 
 
 
 
 
 
 you will be working directly with
 
 :
 
 
 MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisation
 
 
 
 
 
 seeking Data Science &amp; Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,
 
 
 seeking a technically strong Data Science &amp; Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.
 
 
 Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm&rsquo;s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.
 
 
 As a Data Science &amp; Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.
 
 
 
 
 
 Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.
 
 
 
 
 
 Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.
 
 
 To achieve this, we need an Analyst who can:
 
 
 Apply rigorous quantitative methods to client and business problems
 
 <ul>
 <li>
 Build, test, and refine models and analytical assets using structured and unstructured data
 </li>
 <li>
 Translate data into clear findings, recommendations, and decision support
 </li>
 <li>
 Contribute to internal AI and analytics capabilities that can scale across teams
 </li>
 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Quantitative Analysis &amp; Modeling
 
 
 <ul>
 <li>
 Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases
 </li>
 <li>
 Build and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets
 </li>
 <li>
 Evaluate model performance, document assumptions, and support model validation and testing
 </li>
 <li>
 Use Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately
 </li>
 <li>
 Develop repeatable analytical approaches and reusable code that improve quality, speed, and consistency
 </li>
 </ul>
 
 
 Client Delivery Support
 
 
 <ul>
 <li>
 Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives
 </li>
 <li>
 Help frame business questions into analytical hypotheses, required data inputs, and model approaches
 </li>
 <li>
 Prepare analyses, visualizations, and outputs that can be translated into clear client-ready materials
 </li>
 <li>
 Work with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs
 </li>
 <li>
 Contribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work
 </li>
 </ul>
 
 
 AI &amp; Internal Platform Contribution
 
 
 <ul>
 <li>
 Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools
 </li>
 <li>
 Support the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement
 </li>
 <li>
 Help identify opportunities to reuse client-facing analytical patterns within the firm&rsquo;s internal AI build
 </li>
 <li>
 Partner with engineering and business teams to move analytical solutions from prototype to practical usage
 </li>
 </ul>
 
 
 Measurement, Governance, and Controls
 
 
 <ul>
 <li>
 Document methodologies, data sources, model logic, and outputs in a clear and auditable manner
 </li>
 <li>
 Support adherence to internal standards related to model governance, data quality, explainability, and information security
 </li>
 <li>
 Assist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact
 </li>
 <li>
 Help maintain disciplined testing, issue tracking, and version control across analytical work
 </li>
 </ul>
 
 
 
 
 
 Ways of Working
 
 
 <ul>
 <li>
 Operate with strong attention to detail, sound judgment, and a high bar for analytical quality
 </li>
 <li>
 Collaborate effectively across data science, business analysis, technology, and business stakeholders
 </li>
 <li>
 Learn quickly, absorb context fast, and contribute across multiple workstreams at once
 </li>
 <li>
 Stay current on emerging techniques in machine learning, analytics, and AI relevant to financial services
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field
 </li>
 <li>
 Master&rsquo;s degree is a plus, but not required
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 2 years of experience in data science, analytics, quantitative consulting, financial services,
 </li>
 <li>
 experience in investment banking, financial services, consulting, or a similarly demanding environment is preferred
 </li>
 <li>
 Experience supporting client-facing analytical work is a plus
 </li>
 </ul>
 
 
 Core Skills
 
 
 <ul>
 <li>
 Strong quantitative, statistical, and problem-solving capabilities
 </li>
 <li>
 Ability to structure ambiguous questions into analytical workplans
 </li>
 <li>
 Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences
 </li>
 <li>
 High attention to detail and ability to deliver under tight timelines
 </li>
 </ul>
 
 
 AI, Data, and Technical Skills
 
 required
 
 <ul>
 <li>
 Experience with Python and SQL
 </li>
 <li>
 Strong statistical analysis skills
 </li>
 <li>
 Familiarity with common data science libraries and workflows for analysis, modeling, and visualization
 </li>
 <li>
 Exposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP
 </li>
 <li>
 Familiarity with working across structured and unstructured datasets
 </li>
 <li>
 
 
 comfortable operating in a fast-paced, high-expectation environment
 </li>
 <li>
 Interested in applying quantitative methods to real commercial and client outcomes
 </li>
 </ul>
 
 
 
 
 Preffered skills:
 
 <ul>
 <li>
 Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus
 </li>
 <li>
 Familiarity with Power BI, Tableau, or similar visualization tools is a plus
 </li>
 <li>
 Familiarity with Git, notebook-based development, and sound coding/documentation practices is preferred
 </li>
 </ul>
 
 
 
 
 PS
 
 
 must currently reside in the NY metro area
 
 
 must have a valid Work Permit for the Permanent employement
 
 
 
</div>

Data Science (Python) Quant Analyst

Alignerr

<div>
 
 Security Operations Analyst (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're partnering with leading AI research labs to build the next generation of security-aware AI systems. As a Security Operations Analyst, your hands-on SOC experience will directly shape how AI understands, reasons through, and responds to real-world cyber threats.
 
 
 This is a unique opportunity to apply your threat detection and incident response expertise beyond the SOC &mdash; and leave a lasting mark on how AI handles security at scale.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Analyze realistic SOC scenarios &mdash; alerts, incidents, and investigations &mdash; and document how you reason through them
 </li>
 <li>
 Classify severity levels, identify root causes, and recommend appropriate response actions
 </li>
 <li>
 Review and evaluate AI-generated detection logic and investigation workflows for accuracy and realism
 </li>
 <li>
 Validate AI outputs to ensure they reflect how experienced analysts actually think and operate
 </li>
 <li>
 Provide structured, expert feedback that directly improves AI behavior in security contexts
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 2+ years of experience in SOC, incident response, or security operations
 </li>
 <li>
 Hands-on familiarity with SIEM platforms, alert triage, and investigation workflows
 </li>
 <li>
 Strong ability to distinguish true threats from background noise and false positives
 </li>
 <li>
 Clear written communication skills &mdash; you can explain your reasoning, not just your conclusions
 </li>
 <li>
 Self-motivated and comfortable working independently on task-based assignments
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with threat intelligence, detection engineering, or purple team exercises
 </li>
 <li>
 Familiarity with AI systems or previous AI evaluation work
 </li>
 <li>
 Background in writing detection rules, runbooks, or incident documentation
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on frontier AI projects alongside world-class research teams
 </li>
 <li>
 Fully remote and flexible &mdash; work on your own schedule
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Make a real impact on how AI understands cybersecurity at a foundational level
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Security Operations Analyst

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
 <div>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling &mdash; Claude-generated artefacts, AI-assisted SQL drafting &mdash; as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera&rsquo;s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker. 
 
Required Experience:
<ul><li>5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry.
</li><li>Bachelor&rsquo;s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience.
</li><li>Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions.
</li><li>Hands-on experience operating across multiple, heterogeneous data systems (relational databases, SaaS platforms, file-based exports) without requiring engineering hand-holding for data extraction.
</li><li>Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data.
</li><li>Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation
</li></ul>
 
Required Skills &amp; Competencies:
<ul><li>Strong SQL &mdash; complex joins, CTEs, window functions, performance-conscious query design &mdash; applied to PostgreSQL or comparable relational databases.
</li><li>Strong Tableau &mdash; dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server.
</li><li>Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient.
</li><li>Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work &mdash; including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication.
</li><li>Strong analytical and critical thinking combined with excellent written and verbal communication in English &mdash; able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences.
</li></ul>
 
Nice-to-have/Preferred:
<ul><li>Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes &mdash; understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations.
</li><li>Exposure to Salesforce reporting (SOQL, Reports &amp; Dashboards) &mdash; relevant given Salesforce&rsquo;s role as a primary CRM and operational data source at finera.
</li><li>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience &mdash; Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs.
</li><li>Independently retrieve, join, and validate data from across finera&rsquo;s information systems &mdash; PostgreSQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source &mdash; without relying on engineering support for routine extraction.
</li><li>Build, maintain, and continuously improve the BI team&rsquo;s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks.
</li><li>Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier &mdash; drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts &mdash; while retaining full ownership of correctness, business interpretation, and data quality.
</li><li>Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.
</li></ul>
 
Benefits-
<ul><li>Competitive salary package aligned with experience and market standards.
</li><li>Medical Insurance starting from day 1.
</li><li>Access to training resources and development opportunities that support your professional growth.
</li><li>Well-stocked office with snacks, drinks, and refreshments available daily.
</li><li>A multinational organisation that promotes a strong, collaborative culture
</li><li>Regular team-building events and company activities that strengthen collaboration across teams.
</li><li>Employee Recognition Program celebrating our &quot;Employee of the Month&quot; with special perks.</li></ul></div>

Senior Data Analyst

Impronics Technologies

<div><div>Job Summary</div><div>
We are looking for an experienced Business Analyst with strong expertise in banking processes and AI-driven solutions. The ideal candidate will work closely with business stakeholders, technology teams, and data science teams to gather requirements, analyze business processes, and support the implementation of AI/ML-based banking solutions. The role requires strong analytical skills, stakeholder management, and knowledge of digital banking and regulatory frameworks.</div><div></div><div> 
Key Responsibilities</div><div>
Business Analysis &amp; Requirement Gathering</div><ul><li>
Gather, analyze, and document business requirements for AI-driven banking solutions.</li><li>
Translate business needs into functional specifications, BRDs, FRDs, user stories, and process flows.</li><li>
Conduct gap analysis, feasibility studies, and impact assessments for AI use cases.</li><li>
Collaborate with product, technology, and data science teams to align AI capabilities with business objectives.</li><li>
Support UAT planning, test case preparation, and validation of AI-enabled solutions.</li></ul><div>
AI &amp; Data-Driven Solutioning</div><ul><li>
Identify opportunities to implement AI/ML, NLP, predictive analytics, and automation across banking operations.</li><li>
Work with data science teams to define model requirements, training datasets, and performance metrics.</li><li>
Support AI solution development for:<ul><li>
Chatbots &amp; voicebots</li><li>
Fraud detection &amp; risk scoring</li><li>
Credit decisioning models</li><li>
Customer segmentation &amp; personalization</li><li>
Intelligent process automation</li></ul></li><li>
Validate AI model outputs to ensure alignment with business and regulatory expectations.</li></ul><div>
Banking Domain Expertise</div><ul><li>
Analyze and optimize banking processes across retail banking, corporate banking, lending, payments, onboarding, KYC/AML, and digital banking channels.</li><li>
Ensure compliance with banking regulations, risk frameworks, and data privacy standards such as GDPR, PCI-DSS, SWIFT CSP, and PDPL.</li><li>
Work closely with compliance and risk teams to support responsible AI governance.</li></ul><div>
Stakeholder Management</div><ul><li>
Act as a bridge between business teams, technology teams, and AI/data teams.</li><li>
Conduct workshops, requirement gathering sessions, and stakeholder discussions.</li><li>
Prepare business cases, executive presentations, and ROI assessments for AI initiatives.</li></ul><div>
Required Skills &amp; Experience</div><ul><li>
6&ndash;10+ years of experience as a Business Analyst, including at least 2+ years in AI/ML or data-driven projects.</li><li>
Strong understanding of banking operations, digital channels, lending, payments, and regulatory frameworks.</li><li>
Hands-on experience with:<ul><li>
AI/ML concepts and model lifecycle</li><li>
NLP, chatbots, RPA, predictive analytics</li><li>
Data visualization tools such as Power BI or Tableau</li><li>
Agile/Scrum methodologies</li></ul></li><li>
Strong experience in documentation including BRDs, FRDs, BPMN, UML, and user stories.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul><div>
Preferred Qualifications</div><ul><li>
Experience with AI platforms such as Azure AI, AWS AI/ML, or Google Vertex AI.</li><li>
Certifications such as CBAP, CCBA, PMI-PBA, Scrum Master, or AI-related certifications.</li><li>
Exposure to cloud-based data platforms and MLOps environments.</li></ul><div>
Soft Skills</div><ul><li>
Strong stakeholder engagement and communication skills.</li><li>
Ability to simplify complex AI concepts for non-technical stakeholders.</li><li>
Detail-oriented, proactive, and adaptable in fast-paced banking environments.</li><li>
Strong multitasking and time management abilities.</li></ul></div>

Business Analyst – AI Solutions

Actify ABA

<div>HYBRID Opportunity for Board Certified Behavior Analyst (BCBA) - Licensed Behavior Analyst (LBA)!
Actify ABA is looking for an experienced Board Certified Behavior Analyst (BCBA) - Licensed Behavior Analyst (LBA) to join our team! At Actify, we put our clinicians first, your life deserves to be lived and enjoyed!! We are here to take the admin burden off your plate, with streamlined processes and a back-office that responds to any and all inquiries within minutes - not days!
We are a passionate ABA company dedicated to transforming lives through evidence-based practices. Our culture fosters collaboration, personal growth, and client success. Board Certified Behavior Analyst (BCBAs) - Licensed Behavior Analysts (LBAs) thrive in our supportive environment and commitment to professional development and making an impact in kids&rsquo; lives!
HYBRID Board Certified Behavior Analyst (BCBA) - Licensed Behavior Analyst (LBA) Benefits:<ul><li>
Bonus Opportunities</li><li>
Hybrid Position</li><li>
Competitive Salary With Performance Bonuses</li><li>
Referral Program</li><li>
Health Insurance</li><li>
Vision Insurance</li><li>
Dental Insurance</li><li>
Generous Paid Time Off</li><li>
Professional Development Stipends</li><li>
Collaborative Clinical Support</li><li>
Flexible Schedules</li><li>
Career Advancement Opportunities</li><li>
CEU Library Access</li><li>
AI Tools Available</li><li>
Friendly, Happy and Efficient Backoffice To Reduce Admin Burden On Clinicians</li></ul>
HYBRID Board Certified Behavior Analyst (BCBA) - Licensed Behavior Analyst (LBA) Duties and Responsibilities:<ul><li>
Develop and oversee individualized ABA treatment plans.</li><li>
Supervise RBTs and provide ongoing training and support.</li><li>
Conduct assessments and adjust treatment goals as needed.</li><li>
Collaborate with families and multidisciplinary teams to ensure client success.</li><li>
Maintain compliance with ethical and regulatory standards.</li></ul>
HYBRID Board Certified Behavior Analyst (BCBA) - Licensed Behavior Analyst (LBA) Compensation and Schedule:<ul><li>
Pay Range: $95 - $110/hour</li><li>
Full-Time: 25 hours/week or Part-Time Available</li><li>
Shifts: Flexible, based on your availability</li><li>
Location: Columbia, MD 21044 and surrounding areas</li></ul>
HYBRID Board Certified Behavior Analyst (BCBA) - Licensed Behavior Analyst (LBA) Skills and Qualifications:<ul><li>
Current Board-Certified Behavior Analyst (BCBA) certification required.</li><li>
Master&rsquo;s degree in Applied Behavior Analysis or related field.</li><li>
Experience supervising RBTs and implementing ABA programs.</li><li>
Strong leadership, organizational, and interpersonal skills.</li><li>
Passion for making a meaningful difference in clients' lives.</li></ul>
Take the next step in making a meaningful difference as a Board Certified Behavior Analyst (BCBA) - Licensed Behavior Analyst (LBA) with us at Actify!
Apply Today!</div>

HYBRID Board Certified Behavior Analyst (BCBA) Licensed Behavior Analyst (LBA)

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