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Manager - AI/ML Ops and LLMOps

1 month ago

Brentwood, United States Data Meaning Full time
Job DescriptionJob DescriptionManager - AI/ML Ops and LLMOps
Location: Brentwood, TN
Position type: Full-time Employee (Direct Hire to Client)

Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and LATAM. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We are dedicated to bringing premier services to our diverse clientele. We have a global team of 95+ consultants, embodying a collaborative, inclusive, and innovation-driven work culture.

Job Summary:
We are seeking a Manager of AI/ML Ops and LLMOps to join our client's workforce and make an immediate tangible impact. This position is responsible for managing the business intelligence and data warehouse practices for the organization. This requires comprehensive understanding of data analysis, data architecture and data modeling. This position requires comprehensive understanding of database structures, systems, theories, principles, practices and related tools (Business Objects, Micro Strategy, or Cognos). Additional responsibilities include technical leadership, monitoring other team members, and leading projects.

Responsibilities:
  • Transform business strategy into solutions by managing the design, development and deployment of BI applications across the company that yield tangible financial results and increased efficiencies
  • Develop and lead a team of professionals that can function in both the technical world and the business world, translating business opportunities into creative BI solutions
  • Facilitate the creation of big data solutions and associated architecture, to deliver high-performance, high-integrity business intelligence reporting and ad hoc data mining and data analytics capabilities
  • Coordinate with other IT teams to develop robust architectures, development standards, and best-in-class policies/procedures that result in reduced system downtime and reduced maintenance cost.
  • Conduct research and make multi-million-dollar decisions on business intelligence and data warehouse products, services, protocols, and standards in support of development efforts.
  • Manage the delivery of the BI roadmap and the integration with business unit-specific roadmaps
  • Review and analyze existing applications’ effectiveness and efficiency, and then develop cultivate, disseminate, and enforce functional policies, procedures, and QA best practices.
  • Develop, implement, and maintain change control and testing processes for modifications to data systems.
  • Develop, implement, and maintain LLM, Data Replication, Prompt Engineering and Performance Management associated with AL and GenAI operations.
Qualifications:
  • 10+ years equivalent technology work experience with 3+ years of management experience as a manager or team lead for a data warehousing or business intelligence related team.
  • 7+ years' experience developing or managing BI tools such as Business Objects, Micro Strategy, or Cognos.
  • Experience designing, building, installing, configuring, and supporting multi-terabyte data warehouses.
  • Proven experience in overseeing the direction, development, and implementation of large-scale software solutions. Hands-on experience with data architecture, data mining, data modeling, and business requirements gathering/analysis.
  • Experience with software development life cycle (SDLC) methodology. 
  • Comprehensive knowledge of data architecture, data modeling, data mining, data privacy, programming languages, including structure query language (SDL), database concepts/techniques, quality assurance best practices and methodologies, and database tools such as Business Objects, Micro Strategy, or Cognos. 
  • Comprehensive and functional knowledge of retail business processes
  • Superior ability to conduct research into application development issues and products
  • Superior ability to work independently and manage workload prioritization in order to deliver high quality work products on time and with minimal direction
  • Superior communication, collaboration, and critical-thinking skills
    Ability to develop new problem-solving approaches and formulate innovative solutions

 
 

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