DataOps and AIOps Lead - Zionsville, United States - Theoris

Description

Job Title: DataOps and AIOps Lead

Location: Remote Zionsville, In

Industry: Insurance

Job Description: Theoris Services is assisting our client in their search for DataOps and AIOps Lead to join their growing team as a remote employee for their team located in Zionsville, IN. This person is going to lead and spearhead their initiatives in optimizing data management processes and leveraging artificial intelligence for operational excellence. This role is pivotal in driving the adoption of DataOps and AIOps practices. The ideal candidate will possess a deep understanding of data architecture, AI technologies, and automation tools with a passion for transforming data insights into actionable improvements across the technology stack.

Requirements:

Minimum of 5 Years Experience in Data related roles.

2 Years of leadership experience focused on DataOps, AIOps or similar disciplines.

Proven track record in implementing DataOps, and AIOps practices with a deep understanding of data management, AI technologies and automation.

Strong knowledge of data architecture and data integration methodologies

Experience with AI and Machine Learning Algorithms and their application in operational settings.

Proficiency in automation and orchestration tools

Experience with Dagster,

Experience with Prefect

Experience with Airflow

Experience in an Enterprise Level Environment

Excellent leadership and communication skills, with the ability to bridge the gap between technical and non-technical stakeholders.

Responsibilities:

Develop and implement a comprehensive DataOps strategy, promoting agile and collaborative practices that improve the quality of data analytics.

Implement and oversee data quality frameworks to ensure accuracy, completeness, and consistency of data across all platforms and systems, enabling trusted analytics and decision-making processes.

Establish data versioning practices to manage changes and updates to datasets and models efficiently, ensuring reproducibility and traceability of data and AI/ML models across all stages of the lifecycle.

Develop policies and procedures for regular data quality audits and assessments, leveraging automated tools and AI algorithms to identify and rectify data inconsistencies, duplications, and anomalies.

Champion the integration of data governance and metadata management tools to enhance data quality, visibility, and access control, facilitating a collaborative and informed data ecosystem.

Promote a culture of data accountability and ownership, where data quality and versioning are integral to the development and operational processes, ensuring that all team members are committed to maintaining high data standards.

Lead the AIOps initiative, integrating AI and machine learning models into IT operations to automate and enhance system monitoring, incident response, and performance analysis.

Foster a culture of continuous improvement, leveraging real-time data and AI-driven insights to optimize operations, reduce downtime, and predict system failures before they occur.

Collaborate with cross-functional teams to identify opportunities for process automation, data integration, and AI applications that support business objectives and innovation.

Develop metrics and KPIs to measure the effectiveness of DataOps and AIOps initiatives, reporting on progress to stakeholders and continuously refining our approach based on feedback and results.

Our goal is to Fuel Your Career As a Theoris team member, you join a culture based on people-centered values and an environment that fosters both personal and professional growth. We build long-term relationships with our clients and our consultants. With over 30 years of building strong relationships in the industry, were uniquely positioned to make the right connections. This knowledge is used to find the right job placement. Our recruiting teams are experts dedicated to the information technology and engineering staffing space and are highly respected by our client base.