Stakeholder Management Skills Jobs in Mumbai

Dynamics 365 Project Operations Technical Consultant / Lead

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and experienced Dynamics 365 Project Operations Technical Consultant / Lead to join our dynamic team. This is a hybrid role within the IT / Technology industry. The ideal candidate will possess a strong technical background and a proven ability to lead and deliver complex Dynamics 365 implementations. Key Responsibilities While specific responsibilities are not detailed, this role will involve leveraging expertise in Dynamics 365 Project Operations to support project delivery and client success. The candidate will be expected to apply their technical skills to solve complex problems and contribute to the overall success of our projects. Required Skills & Qualifications Dynamics 365 Project Operations : Demonstrated proficiency in configuring and customizing Dynamics 365 Project Operations to meet specific business requirements. Power Platform : Expertise in utilizing the Power Platform suite of tools, including Power Apps , Power Automate , and Power BI , to build custom solutions and automate workflows. Integrations : Experience in designing and implementing integrations between Dynamics 365 and other systems, including SAP and Third-Party Applications . Reporting : Ability to create and customize reports and dashboards using Power BI and other reporting tools to provide insights into project performance. Enterprise Application Development : Solid understanding of C# , .NET , and JavaScript for developing custom solutions and extensions within the Microsoft Dynamics 365 environment. Plugins : Experience developing and deploying Plugins to extend Dynamics 365 functionality. Power Fx : Proficiency in Power Fx for building custom applications within the Power Platform . Dataverse : Strong understanding of Dataverse , including data modeling and security. REST APIs : Ability to work with REST APIs to integrate Dynamics 365 with external systems. Azure Services : Familiarity with Azure Services for deploying and managing Dynamics 365 solutions. Dataflows : Experience using Dataflows to prepare and transform data for analysis. Data Migration , Data Transformation , Data Synchronization : Skills in managing and transforming data within Dynamics 365 . Project Planning , Resource Management , Project Contracts , Time & Expense , Budgeting , Project Accounting : Understanding of project management principles and practices. Agile , DevOps , CI/CD : Experience working in Agile environments and utilizing DevOps practices, including CI/CD . AI Builder , Copilot Studio : Familiarity with AI Builder and Copilot Studio for building intelligent applications. Microsoft Dynamics 365 : Comprehensive knowledge of the Microsoft Dynamics 365 platform. Analytical Skills : Ability to analyze data and identify trends and insights. Problem-Solving Skills : Strong problem-solving skills with the ability to troubleshoot and resolve technical issues. Communication Skills : Excellent written and verbal communication skills. Stakeholder Management Skills : Ability to effectively manage and communicate with stakeholders at all levels. Customer Sales : Understanding of customer sales processes. Experience Required : The ideal candidate will have 6-10 years of relevant experience in a similar role, demonstrating a strong track record of successful Dynamics 365 implementations. This level of experience is expected to include leading technical teams and mentoring junior colleagues. What We Offer Salary : 22 LPA

Technical lead-Project Management

RLE India Private Limited•

Chennai

•full time

Job Description: Role: IAP Import Programs – Technical Lead Responsibilities: Manage Program/Project Technical Planning and Execution until the Start of Production for multiple projects in parallel. To understand the launch plan and follow up towards start of production & start of sales. To coordinate with CFT, understand & support on current issues with respect to launch timing, vehicle production & shipment timing, ordering, any mis build arrival, quality, media launch preparedness & overall market business plan. Ensure all upcoming launches to meet start of production timing without any delays by continuous coordination with Program teams and escalations as needed. Coordinate with Markets for alignment & alternative plan incase of any start of production delays. Coordinate with Global technical teams to support for any Homologation/Regulatory/Powertrain/SWX/Navigation/Electrical and any other technical issues impacting Market business either with Production or with Mis built or with Quality issues etc. Ensure Quality, SCM, Manufacturing, SQE, Purchasing, Planning & Sales teams support on Program issues as needed. Lead and Present the Issues/Program status/Escalations etc. to Leadership as and when needed. Lead Escalation meetings with Program teams for all related topics which are directly or indirectly impacting start of production. Implement and Improve the Programs Launch Process Considering Product Codification, Serial life Changes, EBOM, Homologation/ Regulation, End of Production, Plant Quality, & Overall Quality. Interact & ensure support from SCM, Quality, Manufacturing, Product & Commercial teams towards any Import Launches. Lead Weekly & Bi-weekly Meetings with cross function teams and align for next steps. Always Lead for an alternative immediate action towards any issue which is impacting the start of production or start of production or sales . Ensure to align with Quality, SCM, Manufacturing, SQE, Purchase, Planning & Sales for any Leadership meetings towards Yard hold, Quality, Homologation/Regulatory issues. Education: Bachelor’s degree / Master’s degree in mechanical or Automobile Engineering. Experience: 10 ~ 12 years of experience in Project Management Preferred. Should have experience in Managing Projects. Should have experience in Managing Cross functional stakeholders. Should have experience in leading the Issue resolution with global teams. Should have knowledge of Product Development Process towards start of production. Should have knowledge on Complete vehicle & system/components technical performance. Skills Required: Competency of strategy planning towards Issue resolutions. Thorough understanding of Vehicle development workflow, project/program management techniques and methods. Should be able to develop & improve process based on lessons learned. Strong conflict management/resolution skills. Strong communication & presentation skills. Should be able to demonstrate strong Leadership skills towards any Issues. Shall be able to manage & build trust with all stakeholders from multiple Markets. Should be able to forecast/anticipate next steps/ issues Proactively and prepare a plan.

Quality Data Analyst – Electrical Hardware Engineering, Warranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our team. This role will focus on leveraging data analysis and advanced techniques to support our Electrical Hardware Engineering, Warranty Analytics, KPI Automation, Design Assessment, and AI Adoption initiatives within the Automotive / Technology industry. The ideal candidate will possess a strong analytical background and a passion for driving data-driven decisions. Key Responsibilities This role will be responsible for a range of tasks including data analysis, visualization, and reporting to support quality initiatives. The candidate will be expected to identify trends, anomalies, and opportunities for improvement within warranty data, cost trends, and design performance. They will also be involved in the automation of KPI reporting and the implementation of AI -assisted analytics to enhance predictive quality and drive corrective action management . Required Skills & Qualifications Data Analysis: Demonstrated ability to extract, clean, and analyze large datasets to identify meaningful insights and trends. Data Visualization: Proficiency in creating compelling and informative data visualizations using tools such as Power BI and Excel Analytics to communicate complex information effectively. Dashboarding & KPI Reporting: Experience in designing and developing interactive dashboards and automated KPI reports to track key performance indicators and monitor quality metrics. Data Storytelling: Ability to translate data insights into clear and concise narratives that resonate with stakeholders and drive informed decision-making. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis, scripting, and automation. Databricks: Familiarity with Databricks for data processing and analytics. Power Automate: Experience with Power Automate for workflow automation and data integration. Warranty Data Analytics: Expertise in analyzing warranty data to identify root causes of failures, predict future trends, and optimize product designs. Cost Trend Analysis: Ability to analyze cost trends to identify areas for cost reduction and process improvement. KPI Automation: Experience in automating KPI reporting and data collection processes. Multi-Source Data Integration: Ability to integrate data from multiple sources to create a comprehensive view of quality performance. AI-Assisted Analytics: Experience leveraging AI and Generative AI techniques to enhance data analysis and predictive modeling. Predictive Quality: Ability to apply statistical methods and machine learning algorithms to predict product quality and identify potential issues proactively. Anomaly Detection: Experience in identifying and investigating anomalies in data to uncover potential quality problems. Root Cause Analysis: Expertise in conducting root cause analysis to identify the underlying causes of quality issues. Corrective Action Management: Ability to develop and implement corrective action plans to address quality issues and prevent recurrence. DFMEA, DRBFM, APQP: Familiarity with DFMEA , DRBFM , and APQP methodologies for design and process improvement. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality control. Structured Problem Solving: Ability to apply structured problem-solving techniques to identify and resolve quality issues. Process Optimization: Experience in identifying and implementing process optimization initiatives to improve quality and efficiency. Lean & Six Sigma: Knowledge of Lean and Six Sigma principles for continuous improvement. Quality Tools: Familiarity with various quality tools and techniques for data analysis and problem-solving. Issue Management: Ability to effectively manage and track quality issues to resolution. Warranty Management: Experience in managing warranty claims and analyzing warranty data. Field Quality Analysis: Ability to analyze field quality data to identify trends and patterns. Design Assessment: Ability to conduct design assessments to identify potential quality risks and improve product designs. Design Integrity: Understanding of design integrity principles and their impact on product quality. Design Robustness: Ability to evaluate and improve the design robustness of products. Lessons Learned Deployment: Ability to capture and deploy lessons learned from quality issues to prevent recurrence. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with the ability to identify and resolve complex quality issues. Data Interpretation Skills: Ability to accurately interpret data and translate it into actionable insights. Communication Skills: Excellent communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Stakeholder Management: Ability to build and maintain relationships with key stakeholders . Leadership-Ready Presentation Skills: Ability to deliver compelling and persuasive presentations to senior management. Qualifications: Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. What We Offer Experience Required: 5 - 10 years of relevant experience. Salary: