Sr. Director - MLOps Engineering
Sr. Director - MLOps Engineering
Posted on :
12-08-2025
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1 Vacancy
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Job Description
Acxiom is seeking a highly experienced and visionary Senior Director - MLOps Engineering to spearhead the design and development of scalable MLOps platform to support Acxioms modeled data product builds. This role demands a deep understanding of cutting-edge AI/ML and MLOps technologies coupled with a passion for building robust platforms that empower our modeled product development at scale. As a thought leader you will be instrumental in leading the modernization efforts and shaping the future of our ML platforms enabling modeled product development advanced marketing analytics and driving impactful customer engagement strategies.
You will collaborate closely with Senior architects Data Scientists ML Practitioners and DevOps engineers across Acxiom to evaluate existing MLOps tools & technologies define future-state architecture and implement scalable cloud-native solutions leveraging platforms such as Databricks Snowflake and other enterprise services on AWS GCP and Azure.
This role offers the flexibility to be located almost anywhere within the U.S.
You will collaborate closely with Senior architects Data Scientists ML Practitioners and DevOps engineers across Acxiom to evaluate existing MLOps tools & technologies define future-state architecture and implement scalable cloud-native solutions leveraging platforms such as Databricks Snowflake and other enterprise services on AWS GCP and Azure.
This role offers the flexibility to be located almost anywhere within the U.S.
What You Will Do:
- Collaborate with Acxioms Architecture COE product teams data scientists ML practitioners devOps and analytics leaders to define requirements for ML platform design and modernization.
- Lead and direct junior engineers across US Europe and Asia to enable the design and development of a modernized MLOps platform
- Contribute to the co-development of a comprehensive architecture for migrating existing capabilities to a modern ML infrastructure.
- Develop scalable and flexible hyperscale ML systems for batch training and inference as well as real-time/near real-time workloads.
- Lead end-to-end solution design encompassing assessment roadmap creation detailed technical design and cloud migration execution.
- Develop reusable patterns frameworks and accelerators to facilitate repeatable and successful implementations.
- Align internal stakeholders on architectural decisions fostering consensus for scalable secure and performant designs.
- Lead technical workshops solution deep dives and proof-of-value (POV) pilots to validate architectural feasibility and ensure alignment.
- Design and oversee modern MLOps pipelines model management governance and security architectures.
- Establish governance frameworks and decision criteria for AI/ML and GenAI projects ensuring adherence to industry standards regulatory requirements Responsible AI principles and Acxiom/IPG architectural guidelines.
- Create and maintain reference ML architectures patterns and best practices for the AI/ML lifecycle and its integration within Acxioms enterprise ecosystem (in partnership with Architecture COE).
- Define standards and guardrails for optimal execution of large inference workloads emphasizing performance and cost efficiency.
- Leverage strong expertise in DevOps CI/CD and FinOps principles for cost optimization.
- Develop comprehensive migration plans for transitioning to Databricks Snowflake and other cloud ecosystems.
- Champion data sharing and clean room strategies to unlock the value of partner and third-party data collaboration.
- Stay abreast of evolving data and cloud technologies to provide clients with future-ready solutions.
- Mentor junior MLOps engineers across the organization to foster expertise and amplify impact.
What You Will Have:
- Bachelors or Masters degree in Computer Science Data Science Engineering Information Systems or a related field.
- 15 years of ML platform engineering experience including 12 years focused on ML platform architecture cloud modernization and building large-scale ML platforms.
- Proven track record of designing and delivering hyperscale ML platforms across AWS Azure and GCP.
- 10 years of experience optimizing Spark-based ML inference workloads and associated performance tuning.
- Proven Ability to develop large case ML solutions using H20 SparkML scikit-learn and other ML tools.
- Demonstrated expertise in implementing MLOps pipelines and solutions using lower-level programming languages such as C/C or Java for optimal performance.
- Demonstrated experience in ML workload migration projects (e.g. Teradata Hadoop Oracle to Databricks/Snowflake).
- Deep understanding of machine learning modeling MLOps and model governance across marketing analytics use cases.
- Solid understanding of modern ML platforms architectures and MLOps frameworks (e.g. Mosai AI CortexAI Sagemaker Vertex AI Kubeflow Airflow MLflow).
- Minimum of 2 years of experience with GenAI including technical familiarity with at least two of the following: OpenAI API Bedrock API Vertex API LangGraph or other agentic frameworks.
- Exceptional attention to detail and proven ability to manage multiple competing priorities simultaneously.
- 8-10 years of architecting solutions using Databricks with strong experience using Mosaic AI Unity Catalog MLflow workflow orchestration and other Databricks native MLOps capabilities
- Experience with MLOps and orchestration tools such as Airflow Kubeflow DAGster Optuna or MLflow.
- Strong CI/CD experience using tools like Terraform Jenkins and CloudFormation templates.
- Strong leadership communication and stakeholder engagement skills.
- Demonstrated ability to lead enterprise solutioning engagements and gain cross-functional alignment.
- Experience with data security and compliance controls including data security modes encryption auditing and access controls.
- Familiarity with cost optimization and performance tuning best practices in cloud and ML environments.
What Will Set You Apart:
- Databricks Certifications (e.g. Databricks Certified ML Professional).
- Snowflake certifications (e.g. SnowPro Core or Advanced Architect) and cloud platform certifications (AWS Azure GCP).
- Experience with industry use cases in marketing analytics modeled propensities or pre-built segmentation systems
- Experience with model and data security best practices including access control encryption and compliance frameworks.
#GD17
Primary Location City/State:
Homebased - Conway ArkansasAdditional Locations (if applicable):
Acxiom is an equal opportunity employer including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting hiring training promotion or other employment of associates or the awarding of subcontracts because of a persons race color sex age religion national origin protected veteran military status physical or mental disability sexual orientation gender identity or expression genetics or other protected status.
Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here.
Attention Colorado California Connecticut Maryland NevadaNew Jersey New York City Ohio Rhode Island and Washington Applicants: This position is not located in the aforementionedlocationsbut applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws please contact.
Required Experience:
Director
Employment Type
Full-Time
Key Skills
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