SAP Data Analytics; AI​/ML

• 5+ years of experience in data analytics, data engineering, data science, or related technology roles.
• Strong experience working with large datasets and complex data analysis.
• Experience designing and maintaining data pipelines, data integration processes, and reporting solutions.
• Solid understanding of data modeling, data transformation, and data quality management.
• Experience working with structured and unstructured data sources.

Raritan, NJ-Hybrid

Full Time

Salary- $90000/Year- $100000/Year

• 5+ years of experience in data analytics, data engineering, data science, or related technology roles.
• Strong experience working with large datasets and complex data analysis.
• Experience designing and maintaining data pipelines, data integration processes, and reporting solutions.
• Solid understanding of data modeling, data transformation, and data quality management.
• Experience working with structured and unstructured data sources.

• Strong programming skills in one or more modern languages such as Python, Java, or similar.
• Experience developing scalable applications, automation solutions, or data-driven platforms.
• Familiarity with modern software development practices and source control tools.

• Experience applying machine learning, statistical analysis, or predictive analytics to business problems.
• Understanding of model development, validation, deployment, and monitoring processes.
• Exposure to natural language processing, generative AI, or advanced analytics techniques.
• Experience translating data into actionable business insights.

• Experience working with public cloud platforms and cloud-native services.
• Familiarity with infrastructure automation, containerization, and CI/CD practices.
• Experience supporting data, analytics, or AI workloads in cloud environments.

• Experience developing dashboards, reports, and business intelligence solutions.
• Ability to communicate technical findings to business audiences through visualizations and presentations.
• Experience defining and measuring operational or business performance metrics.

• Experience working with cross-functional teams and business stakeholders.
• Ability to gather requirements and translate them into practical technology solutions.
• Experience managing work streams, coordinating deliverables, and driving outcomes.
• Strong written and verbal communication skills.

• Experience working with enterprise applications and large-scale business systems.
• Exposure to ERP platforms, enterprise data integration, or operational reporting environments.
• Knowledge of enterprise monitoring, automation, or compliance processes.
• SAP data integration, reporting, automation, or analytics experience.

• Experience with model explainability techniques.
• Knowledge of statistical experimentation and analytical methodologies.
• Exposure to retrieval-augmented generation (RAG), vector databases, or knowledge-based AI solutions.
• Experience with streaming, near real-time, or event-driven analytics architectures.

• Experience in reconciliation, controls, risk analysis, or operational reporting environments.
• Exposure to finance, banking, healthcare, manufacturing, or other large enterprise domains.
• Experience identifying and managing data quality issues, exceptions, and operational risks.

• Experience with workflow automation, robotic process automation, or related technologies.
• Experience improving business processes through automation and analytics.
• Exposure to orchestration platforms and enterprise automation frameworks.

• Experience mentoring team members and supporting technical delivery.
• Exposure to project leadership, stakeholder management, and global team collaboration.

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (LTIM):

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer:
The compensation and benefits…