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The posting provides company and team information but does not specify the Associate Data Quality Specialist’s day-to-day responsibilities, qualifications, or required tools. The role title indicates a focus on maintaining, validating, and improving data quality and governance.

Develop backend applications primarily in Java and Spring Boot, with secondary frontend work using Angular. Analyze and document solution architecture, write technical specifications, perform unit and integration testing, support performance testing, collaborate with vendors and integration teams, propose technical improvements, and contribute to strategic banking projects within a Scrum Agile environment.

Lead QA strategy and roadmap for AI and SaaS platforms. Design and implement scalable automation frameworks, validate AI/ML workflows, perform performance/security/regression testing, ensure end-to-end coverage across microservices, APIs, mobile and web in multi-tenant cloud, and document QA processes while partnering with engineering and data science teams.

Configure and support Workday Learning after go-live, including security groups, business processes, campaigns, courses, programs, and Learning-specific EIBs. Test changes across environments, troubleshoot escalated issues, analyze cross-module HCM impacts, and provide hypercare, stabilization, documentation, vendor coordination, knowledge transfer, and training for internal production support teams.

Implement, configure, administer, and support enterprise IAM solutions using the Ping Identity platform. Manage federation, SSO, MFA, application and API access, directory integrations, identity lifecycle processes, RBAC, and authentication standards including SAML, OAuth, and OIDC. Troubleshoot complex identity issues, monitor IAM services, and collaborate with security, application, infrastructure, and DevOps teams to maintain secure and reliable environments.

Two-year rotational graduate program delivering cross-functional experience in technical, sales, and operations tracks. Participants complete rotations, site visits, project work, training, and present outcomes while building product, process, and customer-facing skills to support sourcing, supply chain, engineering, project management, and service activities.

Leads global demand planning and SIOP processes for a project-based capital equipment business. Owns forecasting, capacity and inventory alignment, monthly executive SIOP cycles, scenario planning, KPI governance, and integration of operational and financial plans. Drives ERP and advanced planning system deployment, process standardization, predictive analytics, and cross-functional collaboration across Sales, Operations, Supply Chain, and Finance. Builds and develops a global demand planning team while improving forecast accuracy, delivery performance, inventory efficiency, and planning maturity.

Leads sales strategy and team execution for analytical products, including gas, liquid, and water analyzers, across the India region. Responsibilities include setting targets, monitoring performance, identifying business opportunities, managing customer and EPC relationships, negotiating contracts and pricing, developing sales capabilities, and coordinating cross-functional collaboration to grow revenue, market share, profitability, and customer satisfaction.

Develops complex, customized elevator equipment solutions for global development projects. Analyzes contracts and technical requirements, selects products, designs components, creates engineering outputs, considers cost, safety, and sustainability, and coordinates with global engineering stakeholders. May lead cross-functional projects or serve as chief design engineer for major projects, while reviewing work, reporting progress, and ensuring customer specifications are met.

Provides technical product expertise for elevator, escalator, and autowalk solutions. Coordinates engineering, costing, specifications, lead times, installation, maintainability, and compliance for standard and non-standard projects. Supports sales, field operations, supply chain, project management, installation, and maintenance teams. Creates layouts, performs energy calculations and traffic analyses, conducts technical site surveys, manages product requirements, supports ordering and documentation, and delivers technical training.

Analyzes customer requirements, selects and designs engineering solutions and components, creates technical drawings and structures, considers safety, standards, installability, maintainability, manufacturability, sustainability, and cost, and communicates progress, deviations, and completed outputs to stakeholders.

Monitor, investigate, troubleshoot, and resolve issues across critical SAP business system components. Collaborate with technical and business teams, document solutions, improve support processes, communicate findings, and provide guidance to junior team members while becoming a subject matter expert.

Investigate, diagnose, and resolve issues across critical business applications and enterprise information systems. Monitor complex software environments, analyze logs, manage incidents, document resolutions, collaborate with cross-functional teams, and implement process improvements that enhance system stability. The role also involves contributing to team discussions, independently solving problems, communicating with stakeholders, and mentoring junior team members.

Lead Oracle Transportation Management implementations from requirements gathering through deployment. Configure OTM modules, automation agents, workflows, integrations, and customizations; support cloud migrations, testing, troubleshooting, performance optimization, and documentation. Collaborate with stakeholders, ERP/WMS partners, and project teams while guiding junior consultants and contributing to Agile and DevOps delivery practices.

Leads the PCS business’s enterprise AI transformation, including AI infrastructure, deployment roadmaps, governance, and cross-functional work streams across engineering, services, manufacturing, sourcing, and commercial operations. Oversees AI leaders, drives productivity improvements, enables predictive analytics and computer vision solutions, manages change adoption, and establishes responsible AI practices. Requires extensive technical leadership, enterprise AI/ML transformation experience, modern AI stack expertise, and strong stakeholder management.

Leads operational enablement for five AI work streams by standardizing project processes, translating business strategy into measurable AI portfolios, coordinating cross-functional stakeholders, sharing best practices and reusable models, and tracking performance. The role identifies roadblocks, supports timely deployment, and drives change management and business process improvement across the Power Conversion and Storage business.