
51 - 200 employees
Founded 2003
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Allwyn Corporation is a US-headquartered technology consulting and services firm focused on helping organizations modernize IT and leverage data to drive operational efficiency. The company offers AI & Machine Learning, data analytics and business intelligence, enterprise applications, IT modernization, agile software delivery, low-code development, offshore delivery, and SATCOM engineering services. Allwyn positions itself as a partner for public-sector and utility leaders seeking digital transformation and cites customer success (e. g. , IBTS) for modernizing government-facing applications. Headquarters are in Herndon, VA with offices in New York and an offshore delivery center in Hyderabad, India.
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51 - 200 employees
Founded 2003
🤖 Artificial Intelligence
🏢 Enterprise
🤝 B2B
Artificial Intelligence • Enterprise • B2B
Allwyn Corporation is a US-headquartered technology consulting and services firm focused on helping organizations modernize IT and leverage data to drive operational efficiency. The company offers AI & Machine Learning, data analytics and business intelligence, enterprise applications, IT modernization, agile software delivery, low-code development, offshore delivery, and SATCOM engineering services. Allwyn positions itself as a partner for public-sector and utility leaders seeking digital transformation and cites customer success (e. g. , IBTS) for modernizing government-facing applications. Headquarters are in Herndon, VA with offices in New York and an offshore delivery center in Hyderabad, India.
• Lead end-to-end process discovery, BPMN modeling, gap analysis, and redesign for asset lifecycle workflows. • Gather, document, and validate business, functional, and data requirements for system enhancements and new capabilities. • Translate asset operations needs into system features while ensuring compliance with financial, regulatory, and audit standards. • Define data models, metadata needs, and integration points for analytics, predictive maintenance, anomaly detection, and AI-driven insights. • Facilitate workshops and align business, IT, data engineering, and leadership stakeholders. • Evaluate vendor solutions, internal prototypes, and AI models for feasibility, scalability, and business value. • Maintain BRDs, user stories, process maps, data dictionaries, and test scenarios. • Support UAT, training, adoption, and rollout of new processes and system capabilities. • Apply Value Stream Mapping to identify waste, bottlenecks, and cost drivers across asset lifecycle workflows. • Lead Business Process Re-engineering initiatives to reduce cycle times, manual handoffs, and operational risk. • Drive process excellence, data-driven decision-making, AI-powered insights, and scalable asset management processes.
• 10+ years of experience as a Business Analyst, BPM Analyst, or Product Analyst. • Strong experience with Asset Management Systems, including EAM, CMMS, or ERP Asset Modules. • Hands-on expertise in BPMN and process modeling tools such as Visio, Signavio, or ARIS. • Solid understanding of data flows, data quality, master data, and metadata management. • Exposure to AI/ML concepts including predictive maintenance, forecasting, anomaly detection, NLP, or automation. • Ability to write clear user stories, acceptance criteria, and process documentation. • Experience working with data engineering, BI teams, and cloud platforms such as Azure, AWS, or GCP. • Strong analytical, communication, and cross-functional collaboration skills. • Experience with AI-enabled asset management or IoT/telemetry data preferred. • Familiarity with SQL, Power BI/Tableau, or data modeling preferred. • Knowledge of ITIL, ISO 55000, or other asset management frameworks preferred. • Background in automation, including RPA, workflow engines, or intelligent document processing, preferred. • Certifications such as CBAP, PMP, Lean Six Sigma, BPM, or Data Analytics preferred.
• Remote work arrangement • Quarterly travel for PI meetings
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