Framework Meaning Jobs in Usa

About the Role

Ariat is hiring a Regulatory Compliance/Privacy Attorney to join our growing legal team. As the sixth member of our legal department, you will help lead the development and implementation of our global regulatory compliance program with a focus on product safety and environmental regulations. Under the supervision of the Head of Legal, you will establish compliance frameworks that protect our brand while enabling business growth. You are extremely organized and proactive, with a desire to learn and grow. You are customer-focused, collaborate well with team members and cross-functional business partners, and have experience of working directly with outside counsel. If you are a self-directing, strategically thinking, and detail-oriented individual with a get-it-done attitude, come work with us!

This position will follow a hybrid work model, working a minimum of three days per week at Ariat's San Leandro, CA office. We are considering local Bay Area candidates only or candidates who are willing to relocate to the Bay Area only.

You'll Make a Difference By

Regulatory Compliance

• Serving as lead counsel on product and environmental regulations affecting Ariat's footwear, apparel, and accessories, including California Proposition 65, PFAS and other chemical restrictions, Extended Producer Responsibility (EPR) laws, sustainability and ESG-related disclosure requirements, modern slavery and supply chain transparency statutes (e.g., CA Transparency in Supply Chains Act, UK Modern Slavery Act), and textile and labeling regulations.
• Monitoring, tracking, and analyzing developing state, federal, and global legislation and regulatory proposals that could impact Ariat's products or operations, and translating those developments into clear, actionable guidance for business teams.
• Partnering with product development, sourcing, marketing, and sustainability teams to assess regulatory risk early in the product lifecycle.
• Advising on compliance strategies related to Ariat's multi-state and international retail and e-commerce operations.
• Creating compliance frameworks, policies, and procedures that can scale globally while maintaining consistent standards across all markets.

Privacy

• Serving as the primary in-house privacy counsel, advising on compliance with state privacy laws (CCPA/CPRA, and emerging state frameworks), federal privacy requirements, and international privacy regulations (GDPR, where applicable).
• Partnering with various cross-functional teams to provide guidance related to data collection practices, consumer data requests, vendor data processing agreements, cookie/tracking compliance, and employee privacy matters.
• Drafting, reviewing, and maintaining privacy policies, data processing agreements, and related documentation.
• Supporting privacy impact assessments and advising on new technologies, platforms, and data initiatives.
• Monitoring and assessing new and evolving privacy legislation across all U.S. states and relevant international jurisdictions.
• Assisting with other responsibilities based on business needs.

About You

• Juris Doctor degree from an ABA accredited law school, licensed to practice law and in good standing in CA.
• Minimum of 5+ years of experience in compliance, regulatory affairs, or related legal practice.
• You know how to efficiently manage risk and ensure that business and compliance needs are accurately reflected in policies and procedures.
• Prior experience with product counseling with a global footwear and apparel brand or consumer products is strongly preferred. We'd like you to hit the ground running with relevant industry knowledge.
• Solid foundation in privacy, product safety, environmental compliance and global regulatory frameworks.
• Strong interpersonal skills with the ability to work cross-functionally with multiple stakeholders and teams on multiple projects at once.
• Strong attention to detail—you sweat the small stuff and strive to get it right the first time, every time.
• Ability and willingness to take initiative to address problems and make continuous process improvements.
• Team player who manages well under pressure, while maintaining a good sense of humor.

About Ariat

Ariat is an innovative, outdoor global brand with roots in equestrian performance. We develop high-quality footwear and apparel for people who ride, work, and play outdoors, and care about performance, quality, comfort, and style.

The salary range for this position is $170,000 - $180,000 per year.

The salary is determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data for geographic locations. Ariat in good faith believes that this posted compensation range is accurate for this role at this location at the time of this posting. This range may be modified in the future.

Ariat’s holistic benefits package for full-time team members includes (but is not limited to):

• Medical, dental, vision, and life insurance options
• Expanded wellness and mental health benefits
• Paid time off (PTO), paid holidays, and paid volunteer days
• 401(k) with company match
• Bonus incentive plans
• Team member discount on Ariat merchandise

Note: Availability of benefits may be subject to location & employment type and may have certain eligibility requirements. Ariat reserves the right to alter these benefits in whole or in part at any time without advance notice.

Ariat will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local laws. Ariat is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis protected under federal, state, or local law. Ariat is committed to providing reasonable accommodations to candidates with disabilities. If you need an accommodation during the application process, email

Please see our Employment Candidate Privacy Policy at to learn more about how we collect, use, retain and disclose Personal Information.

Please note that Ariat does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Agreement, Ariat will not consider or agree to payment of any referral compensation or recruiter/agency placement fee. In the event a recruiter or agency submits a resume or candidate without a previously signed Agreement, Ariat explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of Ariat.

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• 
  
• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

• 
  
• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

• 
  
• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

• 
  
• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.

1. Research Leadership in Foundation Models, World Models, and Frontier AI

• Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
• Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
• Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.

2. Lab Management and AI Compute Infrastructure Operations

• Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
• Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
• Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
• Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
• Demonstrated experience mentoring students or leading technical AI teams.
• Strong communication and presentation skills for both technical and non-technical audiences.

Linda Dillon, Lucretia Allen or Shalonda Williams at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Location: Denver, CO (Denver Tech Center)

Schedule: Hybrid - Onsite 1 day per week

Type: Full-Time, Direct Hire

Salary: $160k - $175k + bonus + Long Term Incentive

Description

Seeking an accomplished Principal Software Engineer to serve as a key technical leader and architectural visionary, driving the design and development of our next‑generation real estate technology platforms. In this role, you will guide engineering strategy, architect large-scale, cloud‑native, full‑stack applications, and collaborate across product, UX, platform, and data teams to deliver secure, high‑performance, enterprise-grade systems. You will influence engineering culture, mentor senior engineers, and ensure our solutions remain scalable, observable, and aligned with long‑term business outcomes.

Responsibilities

Architecture & Technical Leadership

• Architect and own end‑to‑end technical solutions across front‑end, back‑end, and data layers for enterprise-scale products.
• Drive cloud-native architecture on AWS, including microservices, event-driven patterns, security controls, and scalable data workflows.
• Lead cross-team architectural reviews, ensuring alignment with engineering best practices, long-term platform strategy, and organizational technical standards.
• Champion DevOps, embedding security, quality, and observability into every stage of the SDLC.
• Champion observability across the organization, ensuring systems are setup for deep visibility, actionable alerts, and fast root-cause analysis.

Full‑Stack Product Development

• Design, build, and maintain applications using Next.js, NestJS, and modern JavaScript/TypeScript frameworks.
• Build robust APIs, services, and distributed systems using Node.js-based server frameworks.
• Support rich front-end experiences, focusing on performance, accessibility, and scalable UI architecture.
• Develop efficient data access patterns using both relational and NoSQL databases.

Enterprise Software Delivery

• Implement and evolve CI/CD pipelines using GitLab CI to improve deployment frequency, reliability, and operational excellence.
• Deploy, monitor, and optimize applications on AWS.
• Integrate and operationalize observability tooling, including logging frameworks, metrics collection, distributed tracing, dashboards, and alerting systems.

Collaboration & Cross‑Functional Influence

• Partner with Product, Data, Architecture, Platform Engineering, Security, and peer Principal Engineers to drive strategic initiatives and technical roadmaps.
• Translate complex technical concepts into business-aligned recommendations for stakeholders.
• Serve as a key voice in engineering strategy, bringing clarity and thought leadership to complex organizational decisions.

Mentorship & Culture Building

• Mentor engineers at all levels through pairing, architecture reviews, and continuous knowledge-sharing practices.
• Foster a culture of engineering excellence based on collaboration, craftsmanship, innovation, and continuous improvement.
• Lead teams in solving the organization's most challenging technical problems with creativity and long-term thinking.

Qualifications

Required

• 10+ years of software engineering experience, including more than 3 years in technical leadership or principal-level roles.
• Strong full‑stack engineering experience, with deep expertise in front-end, back-end, and data architecture.
• Advanced proficiency in JavaScript/TypeScript, Next.js, NestJS, Node.js, and modern application frameworks.
• Strong experience with both NoSQL (e.g., DynamoDB, MongoDB) and SQL databases (e.g., PostgreSQL, MySQL).
• Expert in building and maintaining CI/CD pipelines (GitLab preferred).
• Extensive experience architecting and deploying solutions on AWS.
• Hands-on experience with logs, metrics, tracing, APM tools, and observability platforms.
• Strong communication skills and the ability to collaborate across multiple teams and stakeholders.

Principal-Level Expectations

• Proven ability to architect large-scale, distributed, cloud-native systems in production environments.
• Demonstrated experience influencing cross-functional strategy and driving technical decisions across multiple teams.
• Ability to evaluate emerging technologies and guide adoption across the organization.
• Deep understanding and experience architecting highly available systems that are highly performant and follow industry standards for observability, alerting, and logging.
• Preferred: Experience architecting and optimizing SaaS platforms with eCommerce integrations, leveraging SEO best practices, geo‑aware capabilities, and LLM-driven features to enhance personalization, search relevance, and global user experience.

Benefits:

• Competitive Medical, Dental, and Vision benefits
• Retirement plans with optimal company match
• Annual bonus/merit opportunity
• Educational Assistance
• Medical Health support program
• Events offered in-person and virtually
• Mentorship program
• Employee Resource Groups
• Unlimited PTO
• 7 holidays + 5 additional flex days
• Monthly Home Office reimbursement

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

• Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
• Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
• Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
• Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
• Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
• Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
• Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

• Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
• Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
• Review and approve reporting change requests, data model modifications, and access requests.
• Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
• Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

• Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
• Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
• Build and govern the centralized semantic model that powers reporting across the company.
• Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
• Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

• Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
• Communicate complex architectural concepts in clear, business-friendly terms.
• Lead cross-functional initiatives that require unified data structures or scalable reporting.
• Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

• Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
• Track record of establishing and enforcing enterprise reporting standards and governance.
• Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
• Able to operate as both an individual contributor and a strategic leader.
• Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
• Comfortable influencing architectural decisions and guiding technical execution.
• Strong command of foundational tools and languages such as:
• DAX
• Power Query / M
• SQL
• Fabric pipelines / ETL tooling
• Experience with automation and AI-assisted analytics workflows.

Pecan POS is seeking a skilled and detail-oriented QA Automation Engineer to join our growing engineering team. In this role, you will be responsible for designing, developing, and maintaining automated testing frameworks to ensure the reliability, performance, and scalability of our point-of-sale (POS) platform used by hospitality businesses.

You will collaborate closely with software engineers, product managers, and QA specialists to improve software quality, reduce regression risk, and support continuous integration and delivery. This is an excellent opportunity to contribute to a fast-paced environment where quality and innovation are critical to delivering reliable transaction systems.

• Design, develop, and maintain automated test frameworks for web and API testing

• Create and execute automated regression, integration, and end-to-end tests

• Collaborate with developers and product teams to define test strategies and acceptance criteria

• Identify, document, and track defects through resolution

• Integrate automated tests into CI/CD pipelines to support continuous delivery

• Perform API testing and validate system integrations

• Conduct root cause analysis and contribute to quality improvements

• Maintain test environments and test data for consistent automation execution

• Participate in code reviews and support quality engineering best practices

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

• 3+ years of experience in software testing and automation

• Strong experience with automation tools such as Selenium, Cypress, Playwright, or similar frameworks

• Experience with API testing tools such as Postman or RestAssured

• Familiarity with programming languages such as Java, Python, JavaScript, or C#

• Experience with SQL and database validation

• Understanding of Agile development and the software testing lifecycle

• Experience with version control systems such as Git

• Strong problem-solving and analytical skills

• Experience testing POS systems, fintech platforms, or payment processing systems

• Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI

• Familiarity with cloud environments (AWS, Azure, or GCP)

• Experience with performance testing tools such as JMeter or k6

• Fully remote work environment

• Competitive salary

• Opportunity to work on mission-critical transaction systems

• Collaborative engineering-focused culture

• Professional development and growth opportunities

This role directly supervises three staff and provides indirect leadership and coordination with three Area Directors responsible for program implementation and contract deliverables. The Senior Director leads the development and implementation of standardized grant management systems, compliance protocols, reporting processes, and contract performance monitoring frameworks. The role partners closely with Area Directors, Project Managers, Finance, and Executive Leadership to ensure effective resource allocation, timely delivery of contract deliverables, and strong funder relationships.

This is work from home role; however, candidates must reside in one of the follow states: AL, AR, LA, OK, MS, TN or TX.

Education/Certification Requirements

Option A: Bachelor’s degree in public administration, business administration, finance, accounting, nonprofit management, or related field and 8+ years of progressively responsible experience.

Option B: Bachelor’s degree and 5+ years of progressively responsible experience within Communities Unlimited or a similar multi-state community development organization.

Option C: High school degree or equivalent is required and 12+ years of relevant experience.

Experience/Skills Requirements

Summary of Essential Job Duties 

Grant & Contract Portfolio Leadership

Compliance Systems & Quality Assurance

Reporting & Performance Management

Staff Leadership & Coordination

Funding Support

Other Projects 

Special projects and other duties may be assigned from time to time by the supervisor.

Tools Used in Job

Proficient use of a computer, internet, smart phone (texting, email, photos, videos, social media, and calls), web-based databases for data-entry, Microsoft Office suite including Outlook, Word, Excel and PowerPoint are required.  Use of additional software for project-related activities may be required, and training will be provided.

Work Environment

The work environment characteristics described above are representative of those an employee encounters while performing the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

Compensation details: 9 Yearly Salary

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