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Data Lake Implementation Project Manager Simulation — Target

Lead a $6.8M enterprise data lake implementation for Target Corporation. Navigate competing business unit agendas, data governance battles, and organizational politics across 27 simulated days as Merchandising, Marketing, and Supply Chain fight over who gets access first — and who controls the data. Gain hands-on project management experience over 27 days of real decisions, stakeholders, and PMO deliverables — no prior experience required.

27-day simulationIntermediateHybridRetailIT: Data & Analytics

The scenario

Target Corporation — the eighth-largest retailer in the United States with $107B in annual revenue — has approved an enterprise data lake implementation to replace its aging Teradata data warehouse infrastructure. The current environment is fragmented: Merchandising runs its own Teradata instance with 15 years of proprietary analytics models, Marketing operates a separate CDP built on Adobe Experience Platform, Supply Chain uses a mix of SAP BW extracts and Excel, and Digital has built a real-time event pipeline on Kafka that feeds into its own Redshift cluster. The business case is straightforward: Target cannot execute its 'unified guest experience' strategy when guest data lives in four disconnected systems. The Target Circle loyalty program — with 100M+ members — generates data that should power personalization across every channel, but today it takes 6-8 weeks to get a cross-functional dataset built. The board approved $6.8M to consolidate onto Snowflake on AWS, with Slalom Consulting as the implementation partner. The project is technically achievable. The politics are the problem. Every business unit has built analytics capabilities independently for years, and consolidation means giving up control. You have been brought in as the IT Project Manager to deliver the platform — but your real job is getting four powerful VPs to agree on shared data standards, migration priority, and governance rules when each of them believes their data domain should come first.

What you'll do as the project manager

  • Consolidate four disparate data environments (Teradata, Adobe CDP, SAP BW, Redshift) into a single Snowflake-based enterprise data lake on AWS
  • Deliver a unified guest profile integrating Target Circle loyalty data, POS transactions, digital behavior, and marketing engagement — accessible within 24 hours of event capture
  • Enable self-service analytics for 200+ business analysts across Merchandising, Marketing, Supply Chain, and Digital within 90 days of go-live
  • Establish an enterprise data governance framework with shared data standards, access policies, and data ownership model approved by all four business units
  • Reduce cross-functional dataset delivery time from 6-8 weeks to under 48 hours

Project management skills you'll build

Stakeholder management & communication
Budget and schedule control
Risk identification & mitigation
Scope management & change control
PMO governance & phase-gate reviews
Data Lake Implementation delivery in Retail

The challenges you'll navigate

  • Stakeholder alignment: Four business units with competing priorities and no history of shared data governance — consensus on migration order and data standards may be difficult to achieve
  • Merchandising resistance: Merchandising has operated independently for 15 years and views consolidation as a loss of analytical advantage. Their VP has publicly questioned whether a shared platform can meet their performance requirements
  • Data quality variance: Each source system has different data quality standards, naming conventions, and update frequencies. Harmonization effort is likely underestimated
  • Q4 freeze deadline: If the platform is not operational by October 15, the project stalls for 3 months and the Teradata renewal becomes unavoidable
  • Budget allocation model: The 40/20/20/10/10 split creates perverse incentives — business units paying less may demand more, and Merchandising (paying 20%) may argue they deserve priority

Technology & stakeholders

Snowflake / AWS / Teradata (Legacy) / dbt / FivetranSnowflake Data CloudAWS (S3, Glue, Lambda, IAM)Teradata (legacy data warehouse)dbt (data transformation)Fivetran (data ingestion)Apache Kafka (real-time streaming)Adobe Experience Platform (legacy CDP)SAP BW (legacy supply chain)Amazon Redshift (legacy digital analytics)Data Governance & Cataloging

You'll manage 7 stakeholders, including Brett Craig (EVP & Chief Information Officer), Nithya Rajan (VP Enterprise Data & Analytics), Mark Schindele (EVP & Chief Stores Officer), and more.

What you'll walk away with

A verified, shareable record of a completed enterprise project — plus the PMO deliverables you produced along the way (charter, project plan, SteerCo deck, closure document). It's real, demonstrable project management experience you can put on your resume and speak to in interviews.

Frequently asked questions

Do I need project management experience to start?

No. This simulation is built for aspiring and practicing project managers alike — you learn by doing. You make real decisions and get feedback, with no PMP or prior PM job required.

How long does this simulation take?

It runs over 27 days, roughly 25 minutes per day, covering the full project lifecycle from initiation to closure.

What will I learn?

You practice the core of project management — stakeholder management, budget and schedule control, risk, scope, and PMO governance — in the context of data lake implementation in retail.

Is this based on the real Target?

It's a realistic scenario inspired by Target and the Retail sector. Details and names are fictionalized for training — it's a simulation, not a record of any actual project.

What do I get at the end?

A verified project completion plus the PMO deliverables you produced (charter, plan, SteerCo deck, closure) — proof of hands-on experience you can show employers.

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