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RSM

Audit, advisory, and accounting services network

Data and Analytics Technical Manager

Data EngineeringPosted on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Information Technology, Business Administration, Engineering, or a related field.
  • A minimum of 10–12 years of experience in IT, including at least 10 years in Data and Analytics.
  • At least 5 years of experience designing data models across multiple subject areas and business domains.
  • At least 5 years of experience designing and developing business intelligence solutions.
  • At least 5 years of experience optimizing data pipeline processes and database structures.
  • Deep expertise in at least two of Microsoft Fabric, Snowflake, and Databricks.
  • Previous Data and Analytics experience with a consulting firm.
  • A proven record of leading and implementing Data and Analytics solutions across multiple clients.
  • Experience designing production Data and Analytics solutions for scalability, reliability, security, and cost efficiency, including access controls, monitoring, failure recovery, and documented architecture trade-offs.
  • Advanced understanding of data platforms, tools, and cloud capabilities that support data modernization.
  • Proficiency in BI visualization tools such as Power BI or Tableau.
  • Practical understanding of predictive and generative AI, including model limitations, prompting, grounding responses in trusted data, and evaluating outputs.
  • Proficiency in SQL and Python, including tools such as PySpark and Pandas.
  • Hands-on experience with version control, code reviews, automated unit and integration testing, data quality validation, and CI/CD for Data and Analytics solutions.
  • Expertise in defining, managing, and automating data pipelines and workflows.
  • Ability to evaluate AI outputs for accuracy, unsupported claims, and bias; protect confidential client data through appropriate tool selection and access controls; and apply human review and documented validation before AI outputs are used in client deliverables or production workflows.
  • Ability to travel between office locations within India, approximately 25% of the time.
  • Ability to work in the office at least 2 days per week.

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 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.
  • Review and provide feedback on proposed architecture and solution design before projects begin.
  • Provide mentorship and guidance to team members to support high-quality project delivery.

Desired Qualifications

  • Advanced understanding of DataOps, MLOps, and DevOps.
  • Experience with data governance assessments and delivery.
  • Familiarity with information management and governance tools such as Collibra, Informatica, Talend, Alation, or Purview.
  • Advanced Data and Cloud certifications.
  • A master's degree in Computer Science or MCA.
  • A proven track record in developing and managing technical teams.
  • Strong domain knowledge in any industry.
  • Experience working with North American-based clients and delivery teams.

About the Company

RSM

Audit, advisory, and accounting services network

RSM is a global network of independent firms providing audit, tax, and advisory services. In France, the network has 14 offices, about 1,100 collaborators and 85 partners, organized to deliver tailored services for SMEs, mid-market companies, and large enterprises. It operates through methodologies that combine business-area expertise with sector specialization, strong involvement of partners, and high-level professionals building durable client relationships, all guided by human-centric values. Worldwide, RSM is present in more than 120 countries with 41,000 professionals and global revenue of about $5.4 billion, enabling support for clients in every development phase both in France and abroad.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
1964

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