What are the responsibilities and job description for the Senior Data Analytics Manager position at Akkodis?
Senior Data Analytics Manager Job in Omaha, Nebraska!!
Akkodis is building a next‑generation Enterprise Data Platform to power analytics, machine learning, and GenAI capabilities across the organization. This role blends technical leadership, engineering maturity, and cross-functional collaboration to deliver AI‑ready data products across structured and unstructured sources using platforms such as Databricks, Snowflake, and Palantir.
You will drive modern engineering best practices — pipelines as code, CI/CD automation, observability, and secure enterprise retrieval — while enabling reliable data products that support LLM, retrieval‑augmented generation, and enterprise AI initiatives.
Pay/Salary Range: $135,000/year to $175,000/year. The salary may be negotiable based on experience, education, geographic location, and other factors.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- 3 years of engineering leadership experience (people manager, tech lead manager, or equivalent).
- 8 years in data engineering, platform engineering, or related roles building production-grade pipelines.
- Hands-on experience with Databricks, Snowflake, and modern data engineering tooling.
- Strong proficiency in Git workflows, CI/CD automation, automated testing, and observability.
- Experience preparing structured and unstructured data for AI/ML and GenAI use cases.
- Experience with unstructured data processing (extraction, parsing, enrichment, chunking, deduplication).
- Experience implementing governance/security controls such as permission-aware access, PII handling, and auditability.
- Strong problem-solving skills with ability to anticipate technical challenges.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience with vector search (Azure AI Search, Elastic/OpenSearch, Databricks Vector Search).
- Familiarity with orchestration tools (Databricks Workflows, Airflow) and Infrastructure as Code (Terraform, CloudFormation).
- Experience defining retrieval evaluation signals (test sets, relevance metrics, feedback loops).
- Experience designing hybrid retrieval and relevance-tuning approaches.
If you are interested in this position, then please click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
· The California Fair Chance Act
· Los Angeles City Fair Chance Ordinance
· Los Angeles County Fair Chance Ordinance for Employers
· San Francisco Fair Chance Ordinance
Salary : $135,000 - $175,000