Information Technology Jobs in None, NJ

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

• 
  
• Partner with Group Insurance business, product, and technology stakeholders to understand contract automation objectives
  
• Identify, document, and validate field-level data elements required for automated contract generation
  
• Create data mapping specifications including transformation rules, validation criteria, and business logic
  
• Leverage AI-assisted tooling to accelerate data discovery, mapping analysis, and documentation
  
• Facilitate working sessions with business partners to validate data definitions, mappings, and contract logic
  
• Document end-to-end document generation workflows, including system interactions and exception handling
  
• Translate validated requirements into consumable artifacts for engineering and quality teams
  
• Support User Acceptance Testing (UAT) and implementation readiness activities
  
• Communicate risks, dependencies, and decisions across cross-functional teams
  

• 
  
• 5+ years of experience as a Business Analyst or Business Systems Analyst
  
• Strong experience with data mapping, data validation, and integration-driven solutions
  
• Proven ability to validate requirements and outcomes with business partners
  
• Strong analytical, facilitation, and communication skills
  

• 
  
• Experience supporting contract automation or document generation initiatives
  
• Familiarity with AWS Cloud, APIs, and SharePoint, document management, or content services platforms
  
• Experience leveraging AI tools to support analysis and requirements documentation
  

Company: QuickWash Technologies, Inc

Location: Remote

Employment Type: Full-Time

QuickWash is a technology platform that connects businesses and their employees with convenient on-site car washing and detailing services. Our mission is to simplify vehicle care by bringing professional detailing directly to workplaces and residential communities.

We are currently expanding and looking for a driven Corporate Account Executive to help grow our corporate partnerships and bring QuickWash services to new companies.

The Corporate Account Executive will be responsible for developing new corporate relationships and introducing businesses to QuickWash as an employee perk and workplace amenity. This role focuses on setting up pilot service days and converting those pilots into long-term corporate contracts.

This role is ideal for someone who is ambitious, competitive, and looking to grow into a strong sales and business development career. No prior experience is required for the right candidate.

• $30,000 Base Salary
• 6% of gross revenue generated from contracts you close
• 3% recurring commission on revenue after the first 12 months upon renewal
• Once $2,000,000 ACR (Annual Contract Revenue) is hit, Base Salary Goes to $60,000

• Or

• No Base Salary
• 10% of gross revenue generated from contracts you close
• 5% recurring commission on revenue after the first 12 months upon renewal
• Once $2,000,000 ACR (Annual Contract Revenue) is hit, splits increase to 12% & 8%

• Prospect and reach out to businesses to introduce QuickWash services
• Schedule and coordinate pilot service days for prospective corporate partners
• Convert pilot days into long-term corporate contracts
• Build relationships with office managers, HR teams, and decision-makers
• Track outreach, pilots, and conversions through the company CRM
• Work closely with the QuickWash operations team to ensure successful service days

• Set up 20 pilot service days per month
• Convert 10 pilot locations into long-term corporate contracts per month
• Each corporate contract is estimated to generate approximately $1,000 per month in recurring revenue

While no experience is required, the following experience is helpful:

• Sales or business development
• Cold calling or outbound outreach
• Account management or client relationship management
• Startup or fast-growing company environments

• Highly motivated and competitive
• Strong communication skills
• Comfortable speaking with business decision-makers
• Organized and able to manage multiple prospects simultaneously
• Entrepreneurial mindset with a desire to grow with the company

• Opportunity to grow with a fast-growing tech platform
• Unlimited commission potential
• Flexible remote work environment
• Ability to play a key role in the company’s expansion
• Path to earning six figures within 3 years for top performers

• 
  
• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

• 
  
• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.