Hands-On Data and Analytics Technical Manager with expertise in developing, architecting and implementing data and analytics solutions, leading technical and project teams.
Locations (2)
Hyderabad, Telangana, India
Bangalore, India
Compensation
At RSM, we offer a competitive benefits and compensation package for all our people.
Responsibilities
Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions
Stay abreast of emerging trends, technologies, and industry developments in big data and cloud computing
Develop and maintain data management, data governance, and data security with best practices, standards, and guidelines aligned with regulatory requirements and industry standards
Oversee delivery teams’ application of defined standards and best practices throughout implementation to support high-quality project delivery
Act as a “design gate” reviewer, evaluating delivery teams’ designs for quality and adherence to standards
Requirements
Bachelor's degree or higher in Computer Science/ Information Technology/ Business Administration/ Engineering or related field
Hands-On Data and Analytics Technical Manager with expertise in developing, architecting and implementing data and analytics solutions for clients while also advising in developing the strategic data and analytics roadmaps.
Compensation
Compensation Range: $98,000 - $180,400
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.
Responsibilities
Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions.
Serve as the technical architect for data and AI assessments, translating findings into strategies and roadmaps.
Conduct rapid data and analytics assessments to identify gaps and inform roadmap development.
Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and assess their potential impact on the organization.
Develop and maintain data management, data governance, and data security with best practices, standards, and guidelines aligned with regulatory requirements and industry standards.
Lead data and analytics architecture, project and team leadership for client solutions, driving business growth and delivering innovative data solutions.
Compensation
Compensation Range: $112,100 - $225,500
Responsibilities
Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions.
Serve as the technical architect for data and AI assessments, translating findings into strategies and roadmaps.
Conduct rapid data and analytics assessments to identify gaps and inform roadmap development.
Develop and maintain data management, governance, and security with best practices and standards.
Oversee delivery teams’ application of defined standards and best practices throughout implementation.
Bridge between modern AI technologies and core business applications, embedding AI, machine learning, and intelligent automation into Dynamics 365 ecosystem and Dataverse.
Responsibilities
Design, build, and deploy end-to-end automated workflows using Microsoft Power Automate, Copilot Studio, and Azure AI services natively integrated with Dynamics 365.
Develop and maintain specialized Copilots, AI prompts, and predictive models such as predictive maintenance in Field Service, cash flow forecasting in Finance & Operations, and sentiment analysis in CRM.
Partner with business stakeholders to map complex manual workflows, identify the highest-value automation opportunities, and translate them into technical AI solutions.
Optimize the Dataverse layer to ensure clean, reliable data pipelines feed AI modules and reporting systems, collaborating closely with the Senior Data & Reporting Analyst.
Package all AI, Copilot, and automation solutions as managed solutions, and use Azure DevOps pipelines for automated testing, version control, and deployment across Development, Sandbox, and Production environments.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline
Nice to have: Microsoft certifications such as Power Platform Developer, Azure AI Engineer
Design, build, and optimize the data pipelines and analytical solutions that power Zoom’s Online business, including billing, checkout, growth, and revenue analytics.
Locations (2)
Seattle, Washington, United States
San Jose, California, United States
Compensation
$98,900.00 - $228,700.00
Responsibilities
Design and implement scalable ETL workflows and data pipelines that transform raw data into structured, analytics-ready formats, with automated validation checks and monitoring to ensure ongoing quality and reliability.
Build analytical datasets from clickstream, user interaction, and product usage events to support web analytics, feature adoption analysis, and user journey insights.
Establish and maintain data governance practices, including data definitions, lineage, ownership documentation, and access controls for sensitive data, in collaboration with cross-functional stakeholders.
Implement automated data quality frameworks covering accuracy, completeness, consistency, and freshness, and establish alerting to identify and resolve data issues proactively.
This role provides expert-level IT technical lead services, supporting the UK & Europe Financial Advisor Services (FAS) Data Engineering Team. You will be working with an experienced team of data engineers, data scientists, data analysts, business users, machine learning & AI engineers in implementing data pipelines and high-quality productionisation of ETL/ELT pipelines and complex models that support our FAS Business outcomes.
Responsibilities
Writes ETL (Extract / Transform / Load) processes
Designs database systems and develops tools for real-time and offline analytic processing
Troubleshoots software and processes for data consistency and integrity
Integrates complex and large-scale data from a variety of sources for business partners to generate insight and make decisions
Translates business specifications into design specifications and code
Requirements
Bachelor’s degree (B.E./B.Tech) in Computer Science or IT
Optimize pipeline performance and database efficiency through query tuning, indexing strategies, caching configurations, and model accuracy evaluation for large-scale structured and unstructured data.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience