A workshop-driven intensive on analytics leadership — from hiring to roadmaps to executive alignment.

This course is part of Central European University's MS in Business Analytics program. Students build a complete Manager Operating System by producing real management artifacts anchored to one of three realistic company scenarios. The capstone is an async QBR video where students present their roadmap to a virtual executive panel.

Each day has three 100-minute blocks with breaks between them.

All work is anchored to one of three case contexts that students choose on Day 1:

• DataPulse (Seed-stage) — First data hire at a fitness app startup
• MarketBridge (Series B) — New Head of Analytics at a two-sided marketplace
• FinGuard (Enterprise) — VP of Enterprise Analytics at a 120-year-old bank

├── syllabus.md                    # Full course syllabus
├── marp-theme.css                 # Custom Marp presentation theme
│
├── case-contexts/                 # Three realistic company scenarios
│   ├── small-seed-stage.md        # DataPulse (seed-stage B2C app)
│   ├── medium-series-b.md         # MarketBridge (Series B marketplace)
│   └── large-enterprise.md        # FinGuard (enterprise bank)
│
├── assessment/                    # Grading and evaluation
│   ├── grading-rubrics.md         # Detailed rubrics for all components
│   ├── portfolio-checklist.md     # Submission requirements
│   └── peer-feedback-form.md      # Structured peer review template
│
├── day-1/
│   ├── block-a-manager-os/
│   │   ├── slides.md              # Marp presentation source
│   │   ├── facilitator-notes.md   # Detailed teaching guide
│   │   └── templates/             # Team charter, stakeholder map, RACI, decision memo
│   ├── block-b-hiring/
│   │   ├── slides.md
│   │   ├── facilitator-notes.md
│   │   ├── materials/             # 4 candidate profiles for role-play
│   │   └── templates/             # JD, work sample, rubric, interview loop
│   └── block-c-roadmaps/
│       ├── slides.md
│       ├── facilitator-notes.md
│       └── templates/             # Roadmap-RICE, exec narrative, risk register
│
├── day-2/
│   ├── block-d-growth/
│   │   ├── slides.md
│   │   ├── facilitator-notes.md
│   │   ├── materials/             # SBI scenario cards, calibration profiles
│   │   └── templates/             # PGP, performance summary
│   ├── block-e-infrastructure/
│   │   ├── slides.md
│   │   └── facilitator-notes.md
│   └── block-f-leading-up/
│       ├── slides.md
│       ├── facilitator-notes.md
│       └── templates/             # QBR outline, portfolio checklist
│
├── resources/                     # Reference materials and self-study
│   ├── manager-os-reference.md    # Complete Manager OS reference guide
│   ├── data-infrastructure-guide.md
│   ├── between-days-checklist.md  # Reading and work guide for the week between days
│   └── advanced-infrastructure/   # Optional deep-dive on data stack decisions
│
└── scripts/                       # Build and validation tools
    ├── build.sh                   # Render slides + validate + check overflow
    ├── validate.py                # 82 pedagogical checks
    └── check-overflow.py          # Slide content overflow detection

Full rubrics are in assessment/grading-rubrics.md.

• Camille Fournier, The Manager's Path, Ch. 1–3 (~70 pp)
• Andy Grove, High Output Management, Ch. 4 (~30 pp)

• Andy Grove, High Output Management, Ch. 11 (~30 pp)
• Camille Fournier, The Manager's Path, Ch. 6 (~30 pp)
• Will Larson, An Elegant Puzzle, Part 2 & §5.3 (~80 pp)

1. Start with syllabus.md for the full course overview
2. Read your chosen case context in case-contexts/
3. Templates for each block are in the corresponding templates/ directory
4. Check resources/between-days-checklist.md for between-session work

Slides use Marp (Markdown Presentation Ecosystem). Each block has a slides.md source file and a detailed facilitator-notes.md with minute-by-minute timing, teaching points, and contingency plans.

To build slides:

# Install dependencies (one time)
npm install
pip install marp-cli  # or install via npm

# Build all slides (render + validate + overflow check)
bash scripts/build.sh

# Build a single deck
bash scripts/build.sh day-1/block-a-manager-os/slides.md

Press p in the browser to enter presenter mode with talk track notes.

• Permitted: Reviewing course materials, discussing concepts with classmates, consulting official documentation, using AI tools as a thinking partner (with attribution)
• Required: Cite AI assistance in your portfolio if used substantively
• Prohibited: Submitting AI-generated artifacts without meaningful personal contribution, copying classmate work, sharing solutions

See the full policy in syllabus.md.

This work is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International). You are free to share and adapt this material with attribution.

Eduardo Ariño de la Rubia (rubiae@ceu.edu)

Professor of Practice, Central European University. Former Senior Director of Data Science at Meta; Chief Data Scientist at Domino Data Lab.

Contributions are welcome! If you have suggestions for improvements — new case contexts, better templates, additional resources, or corrections — please open an issue or submit a pull request. All contributions must be compatible with the CC BY 4.0 license.