Translate business needs into effective data architectures and models that maximize value delivery.
Design and manage scalable data pipelines, ETL processes, and transformations using cloud platforms such as Azure, AWS, or Snowflake, and databases like Oracle.
Create interactive dashboards, reports, and analytical tools using visualization platforms including Power BI, Tableau, QuickSight, or Oracle Analytics Cloud.
Develop and deploy machine learning models for predictive analytics, classification, clustering, and economic modeling using supervised and unsupervised techniques.
Enforce data governance standards covering data quality, metadata management, master data, and end-to-end data lineage.
Operate in both agile and traditional project settings, actively engaging in sprint planning, stand-ups, and retrospective meetings.
Assist in business development activities such as crafting proposals and responding to requests for proposals (RFPs).
Partner with clients to design and implement artificial intelligence solutions that deliver measurable business outcomes.
Support the development of internal expertise and resources within the Data & AI practice.
Collaborate with project leads and senior staff to ensure timely and high-quality delivery of client engagements.
Guide and develop junior team members by providing feedback and fostering professional development.
Engage with global specialists in Data & AI to integrate leading-edge practices and innovative technologies into project work.

Competitive market rate commensurate with experience

Hybrid remote and on-site setup with flexibility based on project and client needs

Part of a collaborative Data & AI team working across industries and geographies

Gather and translate business requirements into functional data designs and models that optimise value.
Build and maintain scalable, efficient, and best-practice data pipelines, ETLs, and transformations using Azure, Snowflake, AWS, or Oracle.
Develop visual reports, dashboards, and analytics solutions using Power BI, Tableau, QuickSight, or Oracle Analytics Cloud.
Implement machine learning and AI models, including predictive analytics, supervised/unsupervised learning, and econometrics.
Apply data governance principles, including data quality, master data management, metadata management, and data lineage.
Work in agile and traditional project environments, participating in scrum ceremonies, sprint planning, and retrospectives.
Support business development initiatives, including proposal development and RFPs.
Collaborate with clients to define AI-driven solutions that provide tangible business value.
Contribute to internal capability-building within Sia’s Data & AI practice.
Work closely with managers and senior consultants to deliver client projects successfully.
Coach and mentor junior consultants, supporting their professional growth.
Collaborate with global Data & AI experts to leverage best practices and cutting-edge solutions.

Available for qualified candidates requiring sponsorship

Sia is hiring a Data & AI Senior Consultant