Auxo AI
https://auxoai.com/About
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Jobs at Auxo AI
We are seeking a highly experienced Anaplan Senior Modeler with deep expertise in Supply Chain Planning to join our growing team. In this role, you will drive the design, build, and optimization of complex Anaplan models, directly influencing strategic decision-making for global clients. You will collaborate with Anaplan Solution Architects and may independently lead model development components in fast-paced, high-impact projects.
Responsibilities:
- Design and develop scalable Anaplan models, dashboards, and workflows based on business needs.
- Implement model logic for demand forecasting, supply planning, inventory management, and S&OP.
- Optimize calculations and leverage ALM (Application Lifecycle Management) for version control and model promotion.
- Work with Solution Architects and business stakeholders to translate planning requirements into functional Anaplan solutions.
- Integrate data using Anaplan Connect, CloudWorks, and other ETL tools; manage data accuracy and flow.
- Support UAT, provide user training, and offer post-deployment model support.
- Ensure model performance, scalability, and adherence to Anaplan best practices.
- Stay up-to-date with Anaplan updates, features, and methodologies.
Requirements
- Bachelor’s or Master’s in Engineering, Supply Chain, Operations Research, or related field
- 5+ years of experience in IT or business consulting, with strong Anaplan modeling exposure
- Anaplan Level 3 Model Builder Certification is mandatory
- Proven experience building end-to-end supply chain planning models (Demand, Supply, Inventory)
- Familiarity with financial planning or pricing modules in Anaplan is a plus
- Strong multi-dimensional modeling and problem-solving skills
- Knowledge of data integration tools and strategies
- Excellent communication skills; ability to bridge technical and non-technical discussions
- Proactive, detail-oriented, and capable of working independently or in teams
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Description :
As a Data & Analytics Architect, you will lead key data initiatives, including cloud transformation, data governance, and AI projects. You'll define cloud architectures, guide data science teams in model development, and ensure alignment with data architecture principles across complex solutions. Additionally, you will create and govern architectural blueprints, ensuring standards are met and promoting best practices for data integration and consumption.
Responsibilities :
- Play a key role in driving a number of data and analytics initiatives including cloud data transformation, data governance, data quality, data standards, CRM, MDM, Generative AI and data science.
- Define cloud reference architectures to promote reusable patterns and promote best practices for data integration and consumption.
- Guide the data science team in implementing data models and analytics models.
- Serve as a data science architect delivering technology and architecture services to the data science community.
- In addition, you will also guide application development teams in the data design of complex solutions, in a large data eco-system, and ensure that teams are in alignment with the data architecture principles, standards, strategies, and target states.
- Create, maintain, and govern architectural views and blueprints depicting the Business and IT landscape in its current, transitional, and future state.
- Define and maintain standards for artifacts containing architectural content within the operating model.
Requirements :
- Strong cloud data architecture knowledge (preference for Microsoft Azure)
- 8-10+ years of experience in data architecture, with proven experience in cloud data transformation, MDM, data governance, and data science capabilities.
- Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.
- Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final - recommendation.
- Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Standards, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, non-traditional data and multi-media, ETL, ESB).
- Experience with cloud data technologies such as Azure data factory, Azure Data Fabric, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.
- Experience with big data technologies such as Cloudera, Spark, Sqoop, Hive, HDFS, Flume, Storm, and Kafka.
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