Skip to main content

SAP AI Transformation - Consultant – SAP Data & Analytics

Posted today

deloitteDallas (TX)

SENIORITY

Lead

Apply (opens in a new tab)

About the role

Overview: In this SAP Data & Analytics role within Deloitte’s SAP practice, you help clients modernize processes and enable AI-enabled SAP transformations. You’ll work with cross-functional teams to prototype and deliver data-driven solutions that support Agentic ERP journeys toward autonomous enterprise. Your work combines SAP expertise with AI accelerators to generate measurable business impact for clients. This is a hands-on, fast-paced consulting position that values collaboration, speed, and clear stakeholder engagement.
Responsibilities: Coordinate milestones, dependencies, risks, and team responsibilities across delivery teams Translate business questions into data models, semantic layers, and reusable analytics products Support client workshops to translate needs into scalable designs and validate insights Design and deliver solutions using SAP Data Cloud, SAP Datasphere, SAC, BW/4HANA, S/4HANA embedded analytics, and HANA Cloud Contribute to repeatable data acquisition, integration, transformation, modeling, reporting, and performance management patterns Analyze data to uncover insights, improve data quality, and support client decisions Contribute to proposals and reusable assets and share knowledge with the team Engage with senior stakeholders and delivery teams to generate measurable business impact Support SAP Data & Analytics workstreams, coordinating milestones and quality across delivery teams
Key requirements: Bachelor’s degree or an associate degree with 4+ years of SAP/ERP/consulting experience 2+ years of SAP consulting, ERP implementation, or SAP/ERP transformation experience in a consulting or industry environment Experience supporting at least one full-lifecycle SAP implementation from initiation through go-live and hypercare, including SAP S/4HANA implementation 1+ year hands-on functional or technical experience with SAP Data & Analytics toolsets (SAP BDC, Datasphere, SAC, Joule copilot/SAC compass) Experience implementing or configuring SAP data and analytics solutions using Datasphere, SAC, BW/4HANA, or S/4HANA embedded analytics Experience engaging with client stakeholders to gather or validate data and analytics inputs Willingness to travel up to 50% Preferred: AI tools experience (generative AI, intelligent automation, ML, conversational AI) and familiarity with SAP BW/4HANA, HANA Cloud modeling, Databricks, and related SAP tools Experience contributing to proposals, solution designs, or coaching junior team members One or more SAP certifications (e.g., BDC, Datasphere/BW/4HANA, SAC) Strong written and verbal communication Independence and ability to collaborate in teams Attention to detail and quality SAP Business Data Cloud SAP Datasphere SAP Analytics Cloud (SAC)

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this