Work closely with Product Owners and Development teams to lead design efforts and define implementation strategy for AI solutions for CPG integrated Marketing department.
Lead the development and deployment of AI-enhanced BI solutions across cloud platforms.
Build and optimize data pipelines, models, and dashboards for real-time insights.
Collaborate with architects and stakeholders to ensure alignment with business goals.
Implement MLOps practices for continuous integration and delivery of ML models.
Ensure compliance with data governance, privacy, and security standards.
Mentor junior developers and foster a culture of innovation and excellence.
Requirements
Strong experience in data modeling, ETL pipeline design, and orchestration.
Proficient in Apache Spark, Databricks, Airflow, Kafka.
Advanced SQL skills and experience with Snowflake, BigQuery, or Redshift.
Hands-on experience with Azure Data Factory, AWS Glue, or GCP Dataflow.
Solid grasp of cloud-native architecture and cost optimization strategies.
Experience across the ML lifecycle: data prep, training, deployment, monitoring.
Familiarity with Azure ML, SageMaker, or Vertex AI.
Understanding of model interpretability, bias detection, and data drift.
Python programming.
Knowledge of GDPR, CCPA, and enterprise data privacy frameworks.
Experience with data lineage, cataloging, and access control mechanisms.
Skilled in MLflow, Kubeflow, GitHub Actions, Terraform and automating model deployment and monitoring pipelines.
Strong ability to translate business needs into technical solutions and explain AI/ML concepts to non-technical stakeholders.
Collaborative mindset, strategic thinking focused on ROI, and change leadership to promote AI literacy and adoption.
Preferred: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
Preferred: 5+ years of experience in data engineering, BI development, or AI solution delivery.
Preferred: Certifications in cloud platforms or ML tools are a plus.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data modelingETL pipeline designorchestrationApache SparkDatabricksAirflowKafkaSQLAzure Data FactoryAWS Glue
Soft skills
collaborative mindsetstrategic thinkingchange leadershipmentoringcommunicationinnovationexcellencetranslating business needsexplaining AI/ML conceptsfostering culture