Bean HR Consulting

Role purpose

Own and drive the business and data requirements for assigned workstreams, translating business needs into clear, actionable requirements for architecture, modelling, engineering and reporting teams, while coordinating the relevant business and technology SMEs through design, validation and sign-off.

Key responsibilities

• Drive requirements and scope definition for the assigned data product/workstream and maintain clear traceability through design and delivery.
• Identify and coordinate regional and in-market business owners/working teams required to validate requirements and make decisions.
• Translate business requirements into data requirements, including critical data elements, KPIs, dimensions, source-data needs and derived-field/business logic.
• Work closely with Market IT, Business Data Architects, Data Modellers and Data Engineers to understand source systems and support mapping of source attributes into the target data model.
• The PO is expected to orchestrate this activity, not replace the relevant technical SMEs.
• Facilitate validation of mapped and unmapped data requirements, default values, consolidation/business rules and target-model requirements with business stakeholders.
• Provide business inputs into data-model, data-mart and reporting/dashboard design, including wireframes where relevant.
• Drive stakeholder reviews, requirement/design decisions and formal business sign-offs.
• Support delivery iteratively. Where requirements are substantially understood, progress agreed tranches rather than waiting for every outstanding item before engineering begins.
• Work alongside the Project Manager on dependencies, decisions and stakeholder mobilisation; project capacity management and overall programme coordination remain PM responsibilities.

Experience/profile required

• 7+ yrs of strong hands-on Product Owner, Business Analyst or Data Solution Specialist experience in enterprise data programmes.
• Demonstrable data-mart / data-warehouse delivery experience and ability to work across source-to-target mapping, business rules, data models and reporting requirements.
• Strong commercial insurance data knowledge is highly desirable, particularly policy, product, underwriting and financial dimensions. Reinsurance experience would be advantageous for relevant workstreams.
• Comfortable working across business, Market IT, architecture, data modelling, engineering and BI teams.
• Able to challenge requirements, structure ambiguity, drive decisions and obtain stakeholder sign-off rather than acting solely as a requirements coordinator.
• Strong communication and stakeholder-management skills across regional and market teams.
• Strong problem-solving abilities with an emphasis on data-driven decision-making 

Position: - Implementation Architect (12–14 Years)

Role Purpose:- The Implementation Architect is responsible for designing, governing, and overseeing the end-to-end implementation architecture of IAN products and solutions across customer engagements. The role serves as the primary technical owner for customer implementations, ensuring business requirements are translated into scalable solution designs, workflow configurations, integration architectures, security frameworks, and deployment strategies. Working closely with Agile Technical Managers, Business Analysts, Configurators, Developers, QA Engineers, DevOps Teams, Product Teams, and customer stakeholders, the Implementation Architect drives successful solution delivery while ensuring alignment with platform standards, security requirements, implementation best practices, and product roadmaps.

Key Responsibilities:-

• Lead technical discovery workshops, solution design sessions, and implementation planning activities for customer engagements.

• Define solution architecture, configuration frameworks, workflow orchestration, integration patterns, infrastructure requirements, security controls, and data migration approaches.

• Act as the technical Subject Matter Expert (SME) for IAN products, platform capabilities, configuration frameworks, and data models.

• Collaborate with Business Analysts and customer stakeholders to translate business requirements into scalable, secure, and supportable solution designs.

• Define implementation approaches for workflow automation, business rules, forms, integrations, user access management, document processing, and data migration activities.

• Provide technical leadership and architectural guidance to Configurators, Developers, QA Engineers, and Integration Teams throughout the implementation lifecycle.

• Review and troubleshoot configuration, workflow, integration, and application issues through hands-on analysis, debugging, and root cause identification.

• Collaborate with Product and Engineering teams on platform enhancements, upgrades, releases, and roadmap alignment

. • Mentor and guide FEEL, Apache Camel, workflow, and form.io configurators throughout the implementation lifecycle.

• Work closely with DevOps teams on environment provisioning, CI/CD enablement, deployment planning, release management, and production readiness activities.

• Ensure adherence to architecture standards, security controls, governance processes, and implementation best practices.

• Support multiple customer implementations concurrently while maintaining consistency, quality, and delivery standards.

• Participate in customer architecture reviews, design approvals, deployment planning, go-live activities, and production cutovers.

• Contribute to reusable architecture assets, implementation accelerators, standards, and continuous improvement initiatives.

Required Skills & Experience:-

• Bachelor's degree in computer science, Engineering, Information Systems, or related field.

• 12–14 years of experience in enterprise software implementation, solution architecture, workflow automation, integration architecture, or digital transformation initiatives.

• Strong experience in the Property & Casualty (P&C) Insurance domain; knowledge of Commercial Lines and Specialty Insurance is an advantage

. • Strong understanding of cloud-native architectures, infrastructure, security principles, and DevOps practices.

• Strong experience with BPMN-based workflow automation and business process orchestration platforms such as Camunda, Flowable, Appian, or similar technologies

• Hands-on experience with JSON, JavaScript, REST APIs, n8n, and enterprise integration concepts. • Strong understanding of enterprise integrations, APIs, data migration, and cloud based solution deployments.

• Good understanding of FEEL (Friendly Enough Expression Language), decision automation, and business rules management. 

Job Overview:

We are seeking an experienced Cloud Data Engineer to the architecture, development, Data migration, ETL pipeline in cloud and optimization of a next-generation data platform. This is a development role for an individual with over 4 years of deep data engineering and data migration, data pipeline in AWS expertise, capable of driving technical direction, and delivering high-impact solutions in a fast-paced

4+ Years of hands-on, progressive experience in Cloud Data Engineering, cloud ecosystems AWS, Data Architecture

• Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management

•  Ability to translate complex business needs into actionable technical requirements.

•  Strong troubleshooting and problem-solving skills in distributed systems.

•  Agile/Scrum teamwork capabilities and version control practices

• Insurance industry experience preferred but not mandatory

• Tools:

o Cloud Environment: AWS (S3, IAM, VPC, Glue, Lambda etc.)

o Experience with dbt Core, Iceberg, AWS Glue Catalog, AWS lambda, Redshift, Athena, Splunk, AmazonQ, AWS streaming services, Git

o Strong SQL, Pyspark and Python

Job Description:

We are looking for an experienced QA Automation Engineer with strong expertise in Automation Testing and Manual Testing. The candidate should have hands-on experience in Selenium-based web automation using Java/Python, API automation testing, and automation framework development. The role also requires experience with CI/CD integration, Jenkins, and Agile testing methodologies.

Key Responsibilities

1. Develop, maintain, and execute automated test scripts using Selenium.
2. Perform web application automation testing using Selenium with Java/Python.
3. Execute API automation testing using tools such as ReadyAPI, Postman, and Playwright.
4. Build and maintain automation frameworks from scratch.
5. Integrate automation scripts with CI/CD pipelines.
6. Work with Jenkins for continuous integration and automated test execution.
7. Integrate automation tools with test management tools.
8. Collaborate with cross-functional teams to ensure application quality.
9. Follow Agile testing methodologies and SDLC processes.
10. Track and manage test activities using JIRA/Azure DevOps.

Mandatory Technical Skills

Skill Requirement hands-on experience

• Selenium Strong
• Java/ Python Programming knowledge for

automation

• Playwright As specified in Posting
• ReadyAPI API testing
• Postman API testing
• Automation Framework Ability to develop framework

from scratch

• Jenkins CI/CD integration
• CI/CD Testing Automation

Integration

• JIRA Test management
• Azure DevOps Test management
• Agile Strong understanding
• SDLC Strong understanding
• 
  

Qualifications

Bachelor’s or master’s degree in computer science engineering, or a related field. 4 - 7 Years

Hiring: Oracle ARCS Consultants | 3–11+ Years

Location: Delhi NCR/Pune

Required Skills & Experience

• 3–11+ years of relevant experience in Oracle ARCS.
• Hands-on experience in Account Reconciliation Cloud Services or similar Oracle EPM platforms.
• Strong understanding of Reconciliation Compliance and Transaction Matching modules.
• Experience in ARCS support, configuration and implementation.
• Good understanding of bank reconciliation processes and transaction matching rules.
• Experience with Data Management integrations.
• Knowledge of reconciliation profiles, formats, workflows and rules.
• Experience in month-end closing support.
• Ability to troubleshoot configuration, data and process-related issues.
• Strong analytical, communication and stakeholder management skills.

Interested candidates can share cv : snigdhaattheratebeanhr.com

Position: Service Now Developer( Third party risk Management TPRM/GRC)

Experience: 5 to 9 Years

Location: Gurugram

Work Mode: Hybrid( 2-3 Days)

Notice Period: Serving/Immediate (November Joiners)

Job Description – ServiceNow Developer (TPRM)

We are seeking an experienced ServiceNow Developer with strong TPRM (Third-Party Risk Management) experience to design, develop, enhance and support ServiceNow solutions.

The candidate will be responsible for developing and supporting TPRM-related workflows and the TCRM Challenge Tracker scoped application, along with ITSM processes and enterprise integrations.

Key Responsibilities:

• Develop, configure and enhance ServiceNow TPRM workflows covering third-party assessments, due diligence, risk reviews, approvals and closure activities.
• Support and enhance the TCRM Challenge Tracker scoped application.
• Develop ServiceNow components including Business Rules, Client Scripts, Script Includes, UI Policies, UI Actions and Flow Designer workflows.
• Build and support REST/SOAP integrations and enterprise system interfaces.
• Configure ACLs, roles, groups and security controls to ensure platform compliance.
• Troubleshoot issues, perform root cause analysis and provide production support.
• Collaborate with business stakeholders, architects, BSAs and testing teams to deliver scalable solutions.
• Support agile delivery, testing, deployments and technical documentation.

Required Skills:

• 4–8 years of hands-on ServiceNow development and administration experience.
• Strong JavaScript and ServiceNow scripting skills.
• Hands-on experience with Business Rules, Client Scripts, Script Includes, Flow Designer, Workflows, ACLs and Service Catalog.
• Strong understanding and experience of TPRM processes and workflows.
• Experience with REST/SOAP integrations, JSON and XML.
• Knowledge of ITSM, ITIL, Agile/Scrum and ServiceNow platform architecture.
• Strong troubleshooting, communication and stakeholder management skills.

Preferred Skills:

• ServiceNow CSA/CAD certification.
• Experience with ServiceNow GRC/IRM, TPRM and custom scoped applications.
• Experience supporting TCRM Challenge Tracker or similar risk management applications.

Job Details

Position Title: AI Evangelist

Role Purpose

We are seeking a highly experienced AI Evangelist & Core AI Engineer who combines deep technical expertise in Artificial Intelligence with the ability to influence, educate, demonstrate, and accelerate AI adoption across the enterprise.

The role requires deep understanding of AI, Machine Learning, Deep Learning, Generative AI, Large Language Models, Agentic AI, AI engineering, and modern software development practices, combined with significant hands-on experience implementing scalable AI applications in complex enterprise environments.

Key Responsibilities

1. Core AI Engineering & Architecture

• Design, develop, and implement enterprise-grade AI and Generative AI applications.
• Build scalable applications using LLMs, multimodal models, AI agents, RAG, vector databases, knowledge graphs, APIs, and enterprise data platforms.
• Architect AI solutions capable of supporting enterprise-scale workloads with appropriate considerations for:
• Scalability
• Reliability
• Security
• Performance
• Observability
• Cost optimization
• Governance
• Develop and implement advanced Retrieval-Augmented Generation (RAG) architectures including hybrid search, reranking, metadata filtering, semantic retrieval, and knowledge grounding.
• Build multi-agent and agentic AI applications capable of reasoning, tool usage, workflow execution, orchestration, and enterprise system integration.
• Design AI applications integrating structured and unstructured enterprise information.
• Evaluate architecture choices between commercial models, open-source models, small language models, domain-specific models, and hosted AI platforms.
• Implement model routing, prompt orchestration, caching, guardrails, evaluation pipelines, and fallback strategies.
• Work closely with cloud, platform, security, enterprise architecture, DevOps, and application engineering teams.

2. Deep AI / ML / DL Expertise

The candidate should have strong conceptual and practical understanding across the modern AI technology landscape, including:

• Artificial Intelligence /Machine Learning/ Deep Learning/ Neural Networks /LLM/SLM/RAG/Graph RAG / MLOps / LLMOps / GenAIOps

3. Generative AI & LLM Engineering

• Build production-grade applications utilizing leading commercial and open-source LLM ecosystems.
• Design scalable LLM platforms supporting multiple enterprise applications and use cases.
• Develop reusable LLM services, APIs, components, agent frameworks, and reference architectures.

4. AI Agents & Automation

• Design and implement AI agents and agentic workflows that automate complex business and engineering processes.
• Build agents capable of interacting with enterprise applications, APIs, databases, documents, development environments, and workflow platforms.
• Evaluate emerging agent architectures and orchestration frameworks pragmatically.
• Develop reusable patterns for:
• Single-agent systems
• Multi-agent systems
• Human-in-the-loop workflows
• Autonomous workflows
• Tool-calling agents
• Coding agents
• Enterprise knowledge agents
• Establish appropriate controls for AI agent identity, permissions, auditability, security, and human oversight.

5. AI-Enabled Software Engineering

Drive adoption of AI throughout the Software Development Life Cycle.

Roles and Responsibilities for Product Owner / Data Solution Specialist

Role purpose

Own and drive the business and data requirements for assigned workstreams, translating business needs into clear, actionable requirements for architecture, modelling, engineering and reporting teams, while coordinating the relevant business and technology SMEs through design, validation and sign-off.

Key responsibilities

• Drive requirements and scope definition for the assigned data product/workstream and maintain clear traceability through design and delivery.

• Identify and coordinate regional and in-market business owners/working teams required to validate requirements and make decisions.

• Translate business requirements into data requirements, including critical data elements, KPIs, dimensions, source-data needs and derived-field/business logic.

• Work closely with Market IT, Business Data Architects, Data Modellers and Data Engineers to understand source systems and support mapping of source attributes into the target data model. The PO is expected to orchestrate this activity, not replace the relevant technical SMEs.

• Facilitate validation of mapped and unmapped data requirements, default values, consolidation/business rules and target-model requirements with business stakeholders.

• Provide business inputs into data-model, data-mart and reporting/dashboard design, including wireframes where relevant.

• Drive stakeholder reviews, requirement/design decisions and formal business sign-offs. 

• Support delivery iteratively. Where requirements are substantially understood, progress agreed tranches rather than waiting for every outstanding item before engineering begins.

• Work alongside the Project Manager on dependencies, decisions and stakeholder mobilisation; project capacity management and overall programme coordination remain PM responsibilities.

Experience/profile required

• 7+ yrs of strong hands-on Product Owner, Business Analyst or Data Solution Specialist experience in enterprise data programmes.

• Demonstrable data-mart / data-warehouse delivery experience and ability to work across source-to-target mapping, business rules, data models and reporting requirements.

• Strong commercial insurance data knowledge is highly desirable, particularly policy, product, underwriting and financial dimensions. Reinsurance experience would be advantageous for relevant workstreams.

• Comfortable working across business, Market IT, architecture, data modelling, engineering and BI teams.

• Able to challenge requirements, structure ambiguity, drive decisions and obtain stakeholder sign-off rather than acting solely as a requirements coordinator.

• Strong communication and stakeholder-management skills across regional and market teams.

• Strong problem-solving abilities with an emphasis on data-driven decision-making 

Interested candidates can share their cv at dipaliattheratebeanhr.com

We are seeking a highly skilled Python Programmer and Insurance Analytics Lead to design, develop, automate, and operationalize predictive model development pipelines for Property & Casualty (P&C) Insurance. The role involves building reusable Python frameworks, feature engineering pipelines, MLOps solutions, automated model deployment and monitoring, and scalable analytics platforms supporting pricing, underwriting, claims, fraud detection, retention, and risk analytics.

Key Responsibilities

• Design, develop, and maintain scalable Python frameworks and automated predictive modeling pipelines for P&C insurance.
• Build robust feature engineering pipelines and implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Drive insurance rating modernization by transforming legacy rating engines and integrating predictive models into pricing platforms.
• Collaborate with Data Scientists, Actuaries, Cloud Engineers, and business stakeholders to deliver scalable insurance analytics solutions.
• Lead ETL development and optimization initiatives across multiple teams, improving data integration, quality, and processing efficiency.
• Drive strategic initiatives to enhance ETL practices, establish best practices, and develop long-term technology roadmaps.
• Lead and mentor a team of 5+ professionals, ensuring effective delivery and technical excellence.
• Represent the ETL team in executive-level meetings and collaborate with cross-functional stakeholders on strategic initiatives.
• Support analytics solutions across pricing, underwriting, claims, fraud detection, customer retention, and risk management.

Required Skills & Qualifications

• 9–12 years of experience in Python development, ETL, data engineering, or data management.
• Strong hands-on expertise in Python programming, including Pandas, NumPy, object-oriented programming (OOP), classes, and coding best practices.
• Experience developing automated data pipelines, ETL frameworks, and scalable data processing solutions.
• Working knowledge of AWS cloud services, particularly Amazon S3 and data integration.
• Strong SQL skills and experience with database integrations and data processing.
• Experience in Property & Casualty (P&C) insurance analytics, insurance pricing, rating engines, underwriting, claims, or risk analytics.
• Understanding of predictive modeling pipelines, feature engineering, and MLOps practices.
• Experience leading teams of 5+ professionals and driving cross-functional technical initiatives.
• Strong stakeholder management, communication, and strategic planning skills.

Preferred Qualifications

• Experience in insurance rating modernization and integrating predictive models into pricing platforms.
• Exposure to model deployment automation, monitoring, and scalable analytics platforms.
• Experience collaborating with actuarial, data science, and cloud engineering teams.
• A bachelor's or master’s degree in computer science, Data Science, Information Technology, or a related field.

Location & Travel

• Locations: New Delhi (Gurugram), Bangalore, and Pune.
• Candidates may be required to travel to Gurugram on a quarterly basis, depending on client requirements.

Senior Trainer — AI/ML

Reports To: Associate Director / Head of L&D

Department: L&D-Corporate

Location: Gurgaon, Haryana & Bangalore

Job Summary

We are looking for a skilled and detail-oriented Trainer to design and deliver high-impact learning programs in AI/ML (including Generative AI), Digital Transformation, Technology, and Advanced Analytics.

The role emphasizes structured learning paths, engaging facilitation, and measurable outcomes aligned with company's domain-specific AI and analytics offerings. Key Responsibilities We seek an experienced AI Enablement professional to design and deliver high-impact learning programs in Generative AI, Agentic AI, AI Productivity, Data & Analytics, and Digital Transformation.

The role focuses on driving enterprise AI adoption through structured learning journeys, hands-on workshops, AI certifications, and business-aligned capability-building initiatives. The trainer will work closely with business leaders and SMEs to enable employees to leverage AI, automation, and intelligent agents.

Core Competencies

• Design and deliver instructor-led, virtual, and blended learning programs on Generative AI, Agentic AI, Large Language Models (LLMs), AI Engineering, Data Science, and enterprise AI platforms such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry.

• Develop role-based curricula, learning journeys, certification pathways, and capability frameworks aligned to emerging AI technologies and business needs.

• Deliver hands-on workshops on AI applications, prompt engineering, AI agents, enterprise copilots, and workflow automation.

• Create practical learning experiences using tools such as Microsoft 365 Copilot, Copilot Studio, ChatGPT, Claude, Azure AI Services, and other enterprise AI platforms.

• Track learning effectiveness, adoption, business impact, and ROI using learner feedback, usage analytics, and performance metrics.

• Develop reusable prompts, agent templates, AI accelerators, and knowledge assets to support scalable learning initiatives.

• Leverage digital learning technologies, AI-powered learning platforms, and modern instructional methodologies to enhance learner engagement.

• Stay abreast of advancements in GenAI, Agentic AI, AI governance, Responsible AI, automation, and emerging technologies and continuously integrate them into learning programs.

Required Qualifications

• Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Analytics, or a related discipline

• 6–10 years of corporate training/L&D experience with strong focus on technology and analytics would be an added advantage.

• Hands-on expertise in Python and practical AI solution development, with experience in Generative AI tools, prompt engineering, and AI-powered productivity platforms.

• Working knowledge of LLM ecosystems, Retrieval-Augmented Generation (RAG), AI agents, automation frameworks, and enterprise AI applications.

• Experience with Microsoft Copilot, Copilot Studio, Power Platform, Azure AI Services, OpenAI technologies, or equivalent AI ecosystems.

• Strong understanding of cloud platforms such as Azure, AWS, or Google Cloud, with familiarity in AI and machine learning services.

Preferred Qualifications

• AI/ML & Generative AI concepts; model lifecycle and governance awareness.

• Instructional design, curriculum development, and assessment design.

• Strong facilitation, storytelling, and stakeholder management.

• Data-driven evaluation; dashboards and reporting for learning impact.

• Familiarity with company's platforms and decision-centric analytics approach.  

Thanks & Regards,

Arti Chopra

Bean HR Consulting-"Ahead Your Search"

https://beanhr.com

Locations:- Ghaziabad (Delhi-NCR) / Dehradun