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business teacher postsecondary ai training

Alignerr

<div>
 
 About The Role
 
 
 
 We&rsquo;re looking for experienced postsecondary Business instructors to help evaluate and improve AI systems trained on core business concepts and real-world decision-making.
 
 
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 Organization: Alignerr (Powered by Labelbox)
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 Location: Remote
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 Type: Hourly / Task-based Contract
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 Compensation: $35-70 /hour
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 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design and review business questions and scenarios used in AI training.
 </li>
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 Evaluate the accuracy, clarity, and practical relevance of AI-generated business content.
 </li>
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 Provide structured feedback to improve reasoning, explanations, and examples.
 </li>
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 Apply real-world teaching experience to validate scenarios and edge cases.
 </li>
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 Work independently and asynchronously to meet project deadlines.
 
 
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 Who You Are
 
 
 
 <ul>
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 3+ years of experience teaching business at the postsecondary level.
 </li>
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 Strong understanding of core business topics (management, strategy, operations, finance basics).
 </li>
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 Able to clearly explain and evaluate business reasoning in written form.
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 Comfortable reviewing structured content and providing detailed feedback.
 
 
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 Nice to Have
 
 
 
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 Master&rsquo;s degree in Business, Management, or related field.
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 Industry or applied business experience.
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 Familiarity with AI or content evaluation workflows.
 
 
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 Why Join Us
 
 
 
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 Competitive pay and flexible remote work.
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 Lead a team working on cutting-edge AI projects.
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 Exposure to advanced LLMs and how they&rsquo;re trained.
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 Freelance perks: autonomy, flexibility, and global collaboration.
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 Potential for contract extension.
 
 
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 Application Process (Takes 10-15 min)
 
 
 
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 Submit your resume
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 Complete a short screening
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 Project matching and onboarding
 
 
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 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Business Teacher (Postsecondary – AI Training)

Movement Foundation

<div>OUR MISSION
Movement Schools is a growing network of free, public charter schools. We exist to love and value scholars and communities by leading a movement of excellence in education. In partnership with our families, we equip our scholars with the tools to close generational gaps through self-efficacy, access to world-class instruction, and financial education. 
About This Role
Teach with Purpose. Grow into Leadership. Become a Certified Educator.
We are seeking a passionate, driven, and growth-minded Teacher in Residence to join our school community as they work toward full teacher certification. This role is ideal for aspiring educators who are ready to learn in a high-impact classroom environment, grow their instructional practice, and develop the skills needed to become a strong, effective teacher.
As a Teacher in Residence, you will work closely with a mentor teacher, school leaders, and instructional coaches to gain hands-on experience, receive targeted coaching, and build the foundation for a successful teaching career.
If you are excited about starting your teaching journey, committed to scholar success, and eager to learn and grow, we invite you to apply. 
What You&rsquo;ll Do
You&rsquo;ll learn, lead, and grow while supporting scholars in the classroom every day. 
As a Teacher in Residence, you will:<ul><li>
Support a mentor teacher in delivering high-quality instruction and classroom management</li><li>
Work with small groups or co-teach to support scholar learning and engagement</li><li>
Help plan lessons, create materials, and implement instructional strategies</li><li>
Support scholars&rsquo; social-emotional development and positive behavior</li><li>
Assist with data collection and progress monitoring to inform instruction</li><li>
Build strong relationships with scholars, families, and staff</li><li>
Participate in coaching cycles, professional development, and reflection</li><li>
Complete requirements for teacher certification/licensure pathway</li></ul> 
Who We&rsquo;re Looking For
We&rsquo;re seeking someone who is an aspiring educator with a growth mindset and a heart for service.
You&rsquo;ll thrive in this role if you:<ul><li>
Believe in the potential of every scholar and are committed to equity</li><li>
Are eager to learn and grow as an instructional leader</li><li>
Are reliable, organized, and able to manage multiple responsibilities</li><li>
Communicate clearly and build positive relationships with students and adults</li><li>
Are coachable, reflective, and open to feedback</li><li>
Thrive in a fast-paced, mission-driven environment</li></ul> 
Required Qualifications
Your background shows readiness to begin a teaching career and grow into certification.<h3 class="jobSectionHeader">
Required Qualifications</h3>
Your background shows readiness to begin a teaching career and grow into certification.<ul><li><ul><li>Education (must meet one):</li></ul></li><li><ul><li>
Associate's degree or higher OR</li><li>
60+ semester hours from accredited institution OR</li><li>
Passing score on ParaPro Assessment (minimum 456)</li></ul></li><li>
Interest in pursuing teacher certification/licensure</li><li>
Strong commitment to working with scholars in an academic setting</li><li>
Ability to meet state certification requirements</li><li>
Commitment to Movement Schools&rsquo; mission and values</li></ul> 
Preferred Qualifications
Experience or training that supports your readiness for a classroom role is a plus.<ul><li>
Prior experience working with children in educational or community settings</li><li>
Coursework in education, child development, or a related field</li><li>
Experience with tutoring, mentoring, or coaching</li><li>
Familiarity with classroom routines, behavior management, and lesson planning</li></ul> 
Why You&rsquo;ll Love Working at Movement
You&rsquo;ll grow into a certified teacher while making a meaningful difference every day.<ul><li>
Hands-on learning: Gain real classroom experience with strong support</li><li>
Coaching &amp; development: Receive targeted feedback and professional growth</li><li>
Mission-driven work: Support scholars, families, and educators in meaningful ways</li><li>
Pathway to certification: Structured support toward licensure</li><li>
Collaborative culture: Join a team committed to scholar success</li></ul> 
Compensation &amp; Schedule
This full-time role aligns with the academic calendar and provides meaningful growth in a purpose-driven environment.<ul><li>
Starting Salary: $42,000</li><li>
Employment Type: Full-Time</li><li>
Benefits: Comprehensive benefits package available for eligible employees</li><li>
Schedule: Follows the academic calendar with pre-scheduled summer responsibilities for planning and preparation</li><li>
Additional Commitments: Occasional evenings or weekends for family engagement and school events</li></ul> 
Our Commitment
We&rsquo;re committed to building a diverse, inclusive, and welcoming school community for all. 
Movement Schools is an equal opportunity employer committed to building a diverse, inclusive, and welcoming school community. We value the backgrounds, experiences, and perspectives of our team members and encourage candidates of all backgrounds to apply.
Employment is contingent upon the successful completion of required background checks. 
Ready to Take the Next Step?
If you&rsquo;re ready to start your teaching journey and grow into a certified educator, we&rsquo;d love to hear from you.</div>

[26-27] Atlanta, GA Teacher In Residence

Powerplan

<div>Overview:

The Senior AI/ML Engineer will modernize and scale the company&rsquo;s enterprise data and AI platform by designing AI-ready data models, operationalizing ML systems, and enabling natural-language analytics through Databricks Genie or equivalent AI tooling.
This role exists to shift the organization from dashboard-driven analytics to AI-powered decision intelligence at enterprise scale.
Responsibilities:

Performance Objectives 
Modernize and Operationalize the Analytics Data Platform
Within 6&ndash;9 months, design and implement a scalable medallion-based architecture (Bronze/Silver/Gold) in Databricks or Snowflake that supports AI-ready datasets, improves query performance by 30%, and reduces data reliability incidents by 40%.
Subtasks:<ul><li>
Redesign analytical data models for AI/ML consumption</li><li>
Implement governance using Unity Catalog or Snowflake controls</li><li>
Optimize distributed compute performance</li><li>
Establish monitoring and quality validation checkpoints</li></ul> 
Enable AI-Ready Data Modeling &amp; Governance
Within 6 months, establish semantic models and metadata standards that enable business-facing AI querying with 95% data trust rating from stakeholders.
Subtasks:<ul><li>
Standardize schema design for ML and GenAI workloads</li><li>
Align business definitions with governed datasets</li><li>
Implement lineage and access controls</li><li>
Reduce duplicate or conflicting metric definitions</li></ul> 
Build and Deploy Production-Grade ML Pipelines
Within 9&ndash;12 months, implement reusable ML lifecycle pipelines (experimentation training evaluation deployment) that reduce time-to-production for ML models by 50%.
Subtasks:<ul><li>
Standardize MLflow/Feature Store workflows</li><li>
Implement CI/CD for ML</li><li>
Improve model observability and drift monitoring</li><li>
Establish model documentation standards</li></ul> 
Implement Natural Language AI Analytics (Databricks Genie Enablement)
Within 6 months, deploy and optimize Databricks Genie (or equivalent AI query interface) enabling business users to generate accurate plain-language insights with 80% adoption across target user groups.
Subtasks:<ul><li>
Translate business questions into semantic AI-ready datasets</li><li>
Improve response accuracy through model + metadata tuning</li><li>
Partner with Product on use-case prioritization</li><li>
Track and improve AI query accuracy and user engagement</li></ul> 
Democratize AI Across Business Teams
Within 12 months, embed AI-driven analytics into at least 3 core business workflows, demonstrating measurable business impact (e.g., cost reduction, revenue lift, or decision cycle time improvement).
Subtasks:<ul><li>
Identify high-value AI use cases</li><li>
Collaborate cross-functionally</li><li>
Deliver production-ready AI solutions</li><li>
Document business ROI outcomes</li></ul> 
Establish Enterprise AI Platform Standards
Within 12 months, define and institutionalize architectural standards, best practices, and governance frameworks adopted across Engineering and Analytics teams.
Subtasks:<ul><li>
Publish architecture reference patterns</li><li>
Lead design reviews</li><li>
Mentor engineers</li><li>
Influence long-term AI strategy</li></ul> 
Success Metrics Summary<ul><li>
30%+ performance improvement in analytics workloads</li><li>
40%+ reduction in data quality incidents</li><li>
50% reduction in ML deployment cycle time</li><li>
80% Genie adoption in target group</li><li>
3+ AI use cases with measurable ROI</li><li><ul><li>95% stakeholder trust in AI-generated insights</li></ul></li></ul>
Qualifications:

Growth &amp; Career Move
This is a high-impact platform leadership role enabling enterprise AI transformation. The individual will shape architecture standards, influence executive AI strategy, and lead the shift from traditional BI to AI-powered decision intelligence.
Required Qualifications<ul><li>
10+ years of experience in Data Analytics, Data Engineering, ML Engineering, or AI Engineering</li><li>
Strong hands-on experience with Databricks or Snowflake in production environments</li><li>
Expertise in SQL, Python, and distributed data processing (Spark preferred)</li><li>
Strong understanding of data modeling for analytics and AI</li><li>
Experience building and deploying ML models in real-world systems</li><li>
Familiarity with LLMs, GenAI concepts, and AI-assisted analytics</li><li>
Experience with ML lifecycle tools (MLflow, Feature Stores, CI/CD for ML)</li></ul><div></div><div> 
Preferred Qualifications</div><ul><li>
Direct experience with Databricks Genie or AI-powered BI tools</li><li>
Experience with Unity Catalog, Delta Live Tables, or Snowflake governance features</li><li>
Exposure to Azure, AWS, or GCP cloud platforms</li><li>
Experience working in regulated or enterprise SaaS environments</li><li>
Ability to explain complex technical concepts to non-technical stakeholders</li></ul><div></div><div> 
What Success Looks Like in This Role</div><ul><li>
Business users can ask questions in plain English and get trusted, accurate insights</li><li>
Data models are AI-ready, scalable, and well-governed</li><li>
ML models move smoothly from experimentation to production</li><li>
Databricks Genie adoption grows with measurable business impact</li><li>
AI is embedded into analytics not bolted on</li></ul><div></div><div> 
Why Join Us</div><ul><li>
Work on real AI/ML problems at enterprise scale</li><li>
Influence the evolution of a modern data + AI platform</li><li>
Partner with senior leaders shaping the company&rsquo;s AI-first future</li><li>
Build systems that turn data into decisions not dashboards</li></ul><div>
PowerPlan is an EOE</div><div>
Applicant Privacy Notice</div><div></div> 
Please note that this is a hybrid role that involves a combination of onsite work from our corporate office as well as work from home. While we strive to accommodate flexible working arrangements when sensible, there will be times when onsite work is required. This could include scheduled office days, team meetings, client meetings, or special events.</div>

Senior Databricks AI Engineer

DS Technologies Inc

<div><div><div>About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.</div>
<div></div>
<div>DS Technologies Inc is looking for AI Architect role for one of our premier clients. 
</div><div>Job Title: AI Architect 
Location: Hartford, CT and Atlanta, GA 
Position Type: Contract 
Only W2 
 
Position Overview: 
 
We are seeking an AI Architect to lead the design, development, and deployment of AI-powered capabilities for our next-generation insurance product. This role will be responsible for defining the AI architecture, integrating advanced machine learning models, collaborating with actuarial and underwriting teams, and ensuring scalable, secure, and compliant AI solutions across the product lifecycle. 
 
Key Responsibilities: 
AI Architecture &amp; Solution Design 
</div><ul><li>Design end-to-end AI/ML architecture for insurance-specific use cases such as underwriting automation, risk scoring, fraud detection, customer personalization, and pricing optimization.</li>
<li>Select and define the appropriate AI technologies, model architectures (LLMs, predictive ML, NLP, vision models), and data pipelines.</li>
<li>Build scalable ML systems using cloud-native solutions (AWS, Azure, or GCP) and ML Ops frameworks.</li>
</ul><div>Insurance Product Development</div>
<ul><li>Collaborate with product managers, actuaries, and underwriting SMEs to translate insurance product requirements into AI-enabled functional components.</li>
<li>Develop AI models that support rating algorithms, claims triage, eligibility checks, policy servicing workflows, and agent enablement.</li>
<li>Ensure AI outputs comply with insurance regulations, underwriting guidelines, and internal governance.</li>
</ul><div>Model Engineering &amp; Deployment</div>
<ul><li>Lead development, training, validation, and deployment of ML models.</li>
<li>Implement MLOps pipelines for automated model testing, monitoring, drift detection, and versioning.</li>
<li>Optimize AI performance for accuracy, fairness, explainability, and scalability.</li>
</ul><div>Security, Compliance &amp; Risk Management</div>
<ul><li>Ensure data privacy and security compliance (e.g., HIPAA, GDPR, ISO standards depending on geography).</li>
<li>Implement responsible AI frameworks including explainability, bias mitigation, and model auditability.</li>
<li>Collaborate with risk and compliance teams to meet regulatory expectations for insurance AI models.</li>
</ul><div>Cross-Functional Collaboration</div>
<ul><li>Partner with engineering, actuarial science, underwriting, and IT operations teams.</li>
<li>Provide technical leadership and mentoring to data scientists, ML engineers, and developers.</li>
<li>Drive innovation through POCs, technology evaluations, and continuous modernization.</li>
</ul><div>Required Qualifications: 
Technical Skills:
</div><ul><li>4+ years of experience in AI/ML engineering, architecture</li>
<li>Expertise in ML frameworks, LLMs, NLP, and generative AI.</li>
<li>Strong background in cloud architecture (Azure).</li>
<li>Experience implementing MLOps (CI/CD pipelines, model monitoring tools).</li>
<li>Hands-on experience with APIs, microservices, and containerization (Docker, Kubernetes).</li>
</ul><div>Insurance Industry Experience:</div>
<ul><li>Deep understanding of insurance processes in at least one line of business:</li>
<li>P&amp;C (auto, home, commercial)</li>
<li>Experience building or integrating models for underwriting, rating, or fraud detection.</li>
<li>Soft Skills</li>
<li>Strong analytical and problem-solving abilities.</li>
<li>Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders.</li>
<li>Ability to lead cross-functional teams in a fast-paced environment.</li>
</ul><div>Preferred Qualifications</div>
<ul><li>Bachelor&rsquo;s or master&rsquo;s in computer science, AI, or related field.</li>
<li>Certifications in cloud architecture ( Azure Architect).</li>
<li>Experience with interpretable ML techniques relevant to regulated industries.</li>
<li>Background in actuarial science or insurance analytics is a strong plus.</li></ul></div></div>

AI Architect

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Finance
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Sr. Category Manager is an individual contributor who is responsible for executing sourcing strategies as well as managing technology sourcing projects based on current portfolio and technology stack. This individual will negotiate, administer, and manage the full range of commercial contracts focusing on Software, SaaS and Generative AI needs. The Sr. Category Manager will also manage the relationships between Salesforce and strategic software suppliers through day-to-day interactions and supplier business reviews, while achieving cost-effective procurement decisions for the company. This position is reporting into the Sr. Director of Software Sourcing on the Technology Sourcing Team and will work out of thee Atlanta or Indianapolis office in a hybrid schedule (3 days per week). 
Performance Objectives:
 Build and manage strategic relationships with stakeholders and suppliers.
 Experience presenting complex information to senior leaders.
 Implement software related supplier-sourcing strategies to ensure high quality, on time delivery, and cost competitiveness.
 Understanding of business contract law, and experience with negotiating contracts for the licensing of software; including AI complexities.
 Collect data and perform spend analysis, category profiling, then analyze, and report data to explain economic forecast market trends, applying mathematical models and statistical techniques for cost modeling.
 Provide category reports detailing spend and usage trends, supplier performance metrics, savings, and improvement opportunities, etc.
 Support implementation of procurement best practices for cross-functional project teams.
 Utilize RFI (Request for Information), RFP (Request for Proposal), and RFQ (Request for Quote) techniques to identify, select, and engage with suppliers to ensure competitive market advantage.
 Implement proactive procurement philosophies, strategies, policies, procedures, and systems in order to meet business requirements and cost objectives.
 Organize and support business reviews with suppliers including development, preparation and review of supplier scorecards and performance metrics
 Experience negotiating large enterprise software engagements 
 
Position Requirements:
 BA/BS degree in Supply Chain Management, or Finance, plus 5-10 years experience or equivalent preferred.
 A technical education, or knowledge of Software, SaaS licensing and Public Cloud is a must.
 Strong understanding of legal concepts as related to contract negotiations.
 Excellent relationship management skills, as well as the ability to work collaboratively with suppliers, and internal business customers, and senior management.
 Strong presentation skills with the ability to analyze and explain pricing models and contract terms.
 Excellent written and verbal communication skills and strong interpersonal skills. Strong business acumen.
 Experience using Salesforce and Coupa is desirable.
 Experience in sourcing processes (i.e., RFx development and execution) and reviewing, analyzing, drafting and negotiating contract terms with respect to major projects of medium/high complexity.
 Works well under pressure, ability to multitask and is a skilled time manager that is comfortable working under minimal supervision.
We have a public-facing website https://salesforcebenefits.com/ that explains our various benefits, including medical, dental, 401k, ESPP, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown! 
 
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.</div>

Senior Manager Software Sourcing

NTT DATA

<div>Req ID: 361852
 
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. 
 
We are currently seeking a Industry Consulting Consultant to join our team in Atlanta, Georgia (US-GA), United States (US). 
 
Role Summary 
 
The Analyst, Business Transformation &amp; AI Quantification will support enterprise transformation engagements by building and maintaining the quantitative models, AI-enabled tooling, and organizational change management (OCM) communications that underpin NTT DATA's Business Transformation Office practice. This role sits at the intersection of data science, financial modeling, AI orchestration, and change management - translating complex program data into defensible business cases, measurable value-realization dashboards, and stakeholder-ready communications. 
 
The ideal candidate brings a strong quantitative foundation (computer science, finance, data analytics) paired with intellectual curiosity about how large enterprises transform. You will work directly under a senior transformation leader with 20+ years of enterprise program experience, receiving hands-on mentorship while contributing meaningfully to live client engagements from day one. 
 
Key Responsibilities 
 
Quantification &amp; Value Realization 
<ul><li>
Build, maintain, and iterate financial models that quantify transformation ROI, cost-benefit analysis, and value-at-stake for enterprise clients (manufacturing, supply chain, engineering systems).</li><li>
Develop and maintain value-realization dashboards and scorecards that track leading and lagging indicators tied to transformation investments.</li><li>
Support the creation of defensible business cases for executive stakeholders (CFOs, CIOs, COOs), ensuring every published claim traces back to auditable source data.</li><li>
Assist in benchmarking and baselining client operations to establish measurable targets for transformation outcomes.</li></ul> 

AI Orchestration &amp; Tooling 
<ul><li>
Configure, test, and optimize AI-enabled tools and workflows that support the BTO's quantification, reporting, and decision-support capabilities.</li><li>
Design and maintain prompt libraries, automation scripts, and AI agent configurations that accelerate analysis and reduce manual effort across transformation engagements.</li><li>
Evaluate emerging AI platforms and capabilities for applicability to BTO use cases; build proof-of-concept integrations and present findings to leadership.</li><li>
Develop data pipelines and integrations that connect program management systems, ERP data, and AI tooling into cohesive analytical workflows.</li></ul> 

Communications &amp; Organizational Change Management (OCM) 
<ul><li>
Draft, produce, and distribute transformation communications including stakeholder updates, executive briefings, change impact summaries, and adoption progress reports.</li><li>
Support the development and execution of OCM plans: stakeholder analysis, impact assessments, training/enablement calendars, and resistance management strategies.</li><li>
Create compelling visual assets (presentations, infographics, one-pagers) that translate complex technical transformation data into clear, executive-ready narratives.</li><li>
Coordinate and track change readiness activities, feedback loops, and adoption metrics across cross-functional program teams.</li></ul> 

Program Support &amp; Governance 
<ul><li>
Support the BTO's investment governance framework by maintaining program health dashboards, risk/issue logs, and decision audit trails.</li><li>
Prepare materials for steering committees, governance boards, and executive reviews.</li><li>
Assist in documenting and refining BTO methodologies, playbooks, and reusable frameworks.</li><li>
Contribute to proposal development and client-facing presentations as the BTO practice scales.</li></ul> 

Key Skills and Qualifications 
 
Quantitative &amp; Technical (Must-Have) 
<ul><li>
Strong foundation in quantitative analysis: financial modeling, statistical methods, and/or data analytics.</li><li>
Comfort working with AI/ML platforms and tools (e.g., large language models, prompt engineering, workflow automation).</li><li>
Working knowledge of financial concepts: ROI, NPV, cost-benefit analysis, value-at-risk, and business case development.</li></ul> 

Communication &amp; Change Management (Must-Have) 
<ul><li>
Excellent written and verbal communication skills; ability to distill complex technical concepts into clear, audience-appropriate language.</li><li>
Experience or demonstrated aptitude creating professional presentations, reports, and visual communications.</li><li>
Intellectual curiosity about organizational dynamics, stakeholder management, and how large enterprises adopt change.</li><li>
Strong attention to detail combined with the ability to see the bigger picture of how individual work products connect to overall program outcomes.</li></ul> 

Preferred (Strongly Valued but Not Required) 
<ul><li>
Exposure to enterprise systems or transformation domains (e.g., ERP/SAP, PLM, supply chain, manufacturing).</li><li>
Familiarity with change management frameworks (e.g., Prosci/ADKAR, Kotter) or willingness to pursue certification.</li><li>
Experience with project/program management tools (Jira, Smartsheet, MS Project, or similar).</li><li>
Interest in or exposure to consulting, professional services, or client-facing delivery environments.</li><li>
Any experience with data visualization, infographic design, or creative communication tools.</li><li>
Ability to build and maintain dashboards and visualizations using tools such as Power BI, Tableau, or equivalent.</li></ul> 

Experience and Education 
<ul><li>
Bachelor's degree in Computer Science, Finance, Data Science, Information Systems, Engineering, or related quantitative field required.</li><li>
0-2 years of professional experience; internship or academic project experience in data analysis, financial modeling, software development, or consulting is valued.</li><li>
Demonstrated ability to learn rapidly and apply new concepts in ambiguous, fast-paced environments.</li><li>
Certifications in AI, data analytics, change management, or project management are a plus but not required.</li></ul> 

Why This Role 
 
This is a ground-floor opportunity to help build a differentiated practice within one of the world's largest IT services firms. You will gain direct mentorship from senior transformation leaders, exposure to enterprise clients and C-suite decision-makers, and the opportunity to shape the tools, frameworks, and methodologies that define how NTT DATA delivers measurable business outcomes. You will be working at the cutting edge of AI-enabled transformation - not just talking about AI but building the quantitative models and orchestration workflows that make it real. 
 
About NTT DATA 
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D. 
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Industry Consulting Consultant

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you passionate about Generative AI (GenAI)? Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? In this role, you will help some of our largest customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker, fine tune and build Generative AI models, and help enterprise customers leverage these models to power end applications. You will engage with AWS product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. 
 
At Amazon, we&rsquo;ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com&rsquo;s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it&rsquo;s a big part of our heritage. 
 
AWS is looking for a Generative AI Solutions Architect who will be the Subject Matter Expert (SME) for helping customers in designing solutions that leverage our Generative AI services. You will interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. As part of the Generative AI Worldwide Specialist organization, you will work closely with other Solution Architects from various geographies to enable large-scale customer use cases and drive the adoption of Amazon Web Services for GenAI services. You will interact with other Data Scientists and Solution Architects in the field, providing guidance on their customer engagements. You will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage Generative AI services on Amazon Web Services. You will also create field enablement materials for the broader technical field population, to help them understand how to integrate AWS Generative AI solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review.
 
 
You must have deep technical experience working with technologies related to large language models including LLM architectures, model evaluation, and fine-tuning techniques. You should be proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches. You must have experience with embedding model fine tuning and retrieval method evaluation approaches. You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and Performance Evaluation frameworks. You should have experience architecting end to end ML/Gen AI applications for customers using AWS services and Well Architected Framework. 
 
Candidates must have great communication skills and be very technical, with the ability to impress Amazon Web Services customers at any level, from executive to developer. You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovation. 
 
Travel up to 50% may be possible. 
 
Key job responsibilities 
- Customer Advisor- Implement, and deploy state of the art machine learning solutins under Gen AI. You will build prototypes, PoCs, and explore new solutions. You will interact closely with our customers. 
<ul><li>Thought Leadership &ndash; Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
</li><li>Partner with Data Scientists, SAs, Sales, Business Development and the Generative AI Service teams to accelerate customer adoption and providing guidance on their customer engagements.
</li><li>Act as a technical liaison between customers and the AWS Generative AI services teams to provide customer driven product improvement feedback.
</li><li>Develop and support an AWS internal community of GenAI related subject matter experts worldwide. Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures.
</li></ul> 
About the team 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>3+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>7+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience working with PyTorch or JAX software</li><li>3+ years of experience in end to end technical architecture, design, deployment and operations for Generative AI/ML platforms and applications.</li><li>Proficient with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.&quot;</li><li>Proficient with prompt engineering, function calling, agentic workflows, embedding model fine tuning and retrieval method evaluation and optimization approaches.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of infrastructure architecture, database architecture and networking experience</li><li>Experience working with end user or developer communities</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually 
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually 
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually 
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually 
USA, NY, New York - 169,000.00 - 228,600.00 USD annually 
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually 
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually</div>

Senior Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

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