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The next role: principal data scientist, not senior

$199.00
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A tailored course, built for your situation

The next role: principal data scientist, not senior

A tailored path from senior contributor to principal-level impact in data science organizations

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.

The situation this course is for

Who this is for

Senior individual contributor in data science, delivering rigorous technical work but not yet consistently shaping strategy or operating beyond team boundaries

Who this is not for

Managers focused on team leadership, executives setting org direction, or entry-level scientists still building core technical skills

What you walk away with

  • Articulate a strategic data narrative that resonates with business leaders
  • Design reusable analysis frameworks adopted by peers
  • Position technical work as foundational to product or operational outcomes
  • Command influence across product, engineering, and analytics peers
  • Build a promotion-ready portfolio of high-visibility contributions

The 12 modules (with all 144 chapters)

Module 1. From output to influence
Shift focus from isolated analyses to work that changes how teams operate, starting with identifying high-leverage opportunities within existing workflows.
12 chapters in this module
  1. Defining influence beyond citations
  2. Mapping decision touchpoints
  3. Finding amplification points
  4. Matching insight to action
  5. Timing narrative releases
  6. Creating shareable moments
  7. Designing for adoption
  8. Using language that sticks
  9. Avoiding expert isolation
  10. Linking to known goals
  11. Anchoring on current projects
  12. Reframing reactive work
Module 2. Strategic framing without authority
Frame technical work as essential to business outcomes by aligning with leadership priorities, not just technical correctness.
12 chapters in this module
  1. Reading between roadmap lines
  2. Identifying unspoken needs
  3. Connecting models to metrics
  4. Translating accuracy to value
  5. Positioning as enabler
  6. Avoiding 'should' arguments
  7. Using peer validation
  8. Reinventing old results
  9. Framing tradeoffs clearly
  10. Highlighting downstream impact
  11. Naming future states
  12. Owning narrative arcs
Module 3. Building cross-functional trust
Earn credibility with product and engineering teams by designing collaborations that respect their constraints and enhance their outcomes.
12 chapters in this module
  1. Starting with their goals
  2. Asking better intake questions
  3. Reducing friction loops
  4. Delivering ahead of ask
  5. Anticipating edge cases
  6. Documenting for reuse
  7. Using their terminology
  8. Showing escalation paths
  9. Protecting their timelines
  10. Clarifying ownership
  11. Closing feedback gaps
  12. Celebrating joint wins
Module 4. Repeatable frameworks over one-offs
Replace custom analyses with adaptable templates that compound value across teams and cycles.
12 chapters in this module
  1. Spotting pattern opportunities
  2. Naming common problems
  3. Designing modular inputs
  4. Standardizing assumptions
  5. Creating version triggers
  6. Documenting evolution paths
  7. Embedding guardrails
  8. Using visual taxonomies
  9. Indexing for search
  10. Packaging for onboarding
  11. Linking to playbooks
  12. Measuring reuse rates
Module 5. Positioning for principal tracks
Structure work to meet promotion criteria for principal roles, even without direct reporting lines.
12 chapters in this module
  1. Reading promotion ladders
  2. Reverse-engineering expectations
  3. Framing scope as org-level
  4. Demonstrating force multiplication
  5. Creating cross-team standards
  6. Leading without mandate
  7. Documenting ripple effects
  8. Tracking adoption metrics
  9. Gathering peer testimonials
  10. Aligning to strategic themes
  11. Timing visibility moments
  12. Building promotion narratives
Module 6. Narrative engineering
Craft compelling stories around data that shift perspectives and drive action, even in skeptical audiences.
12 chapters in this module
  1. Starting with surprise
  2. Using contrast effectively
  3. Simplifying without losing nuance
  4. Naming the 'so what'
  5. Linking to known pains
  6. Avoiding jargon drift
  7. Creating visual anchors
  8. Sequencing revelations
  9. Using analogies wisely
  10. Rehearsing delivery
  11. Anticipating pushback
  12. Designing for replay
Module 7. Influence through documentation
Turn reports into assets that circulate independently and shape decisions beyond the initial audience.
12 chapters in this module
  1. Writing for skimmers
  2. Designing self-explaining visuals
  3. Creating standalone sections
  4. Using title-driven logic
  5. Adding decision footnotes
  6. Versioning for clarity
  7. Indexing for search
  8. Embedding next steps
  9. Optimizing for sharing
  10. Reducing interpretation load
  11. Naming assumptions
  12. Highlighting reversibility
Module 8. Strategic visibility
Place work in forums and formats that attract attention from leaders without self-promotion.
12 chapters in this module
  1. Choosing high-signal venues
  2. Timing releases wisely
  3. Tagging strategically
  4. Using quiet channels
  5. Leveraging existing meetings
  6. Creating reference moments
  7. Designing for reuse
  8. Allowing organic spread
  9. Avoiding noise traps
  10. Measuring reach quality
  11. Tracking citation patterns
  12. Positioning as default source
Module 9. Autonomy in ambiguity
Take ownership of loosely defined problems and turn them into structured opportunities for impact.
12 chapters in this module
  1. Reframing vague asks
  2. Setting boundaries early
  3. Defining success collaboratively
  4. Identifying safe experiments
  5. Prototyping fast
  6. Naming constraints honestly
  7. Asking better scoping questions
  8. Avoiding perfection traps
  9. Shipping version zero
  10. Gathering directional feedback
  11. Iterating on purpose
  12. Closing with learning
Module 10. Decision-ready analysis
Structure outputs so leaders can act immediately, reducing back-and-forth and increasing trust in data teams.
12 chapters in this module
  1. Starting with options
  2. Clarifying tradeoffs
  3. Quantifying uncertainty
  4. Highlighting action triggers
  5. Using plain-language summaries
  6. Adding confidence labels
  7. Showing sensitivity ranges
  8. Naming assumptions
  9. Revealing data limits
  10. Suggesting next steps
  11. Anticipating follow-ups
  12. Designing for delegation
Module 11. Scaling personal impact
Multiply influence by designing work others can build upon, not just consume.
12 chapters in this module
  1. Creating extension points
  2. Naming design principles
  3. Documenting evolution paths
  4. Building plug-in frameworks
  5. Using interoperable formats
  6. Indexing for reuse
  7. Teaching through design
  8. Reducing setup cost
  9. Encouraging remixing
  10. Tracking derivative work
  11. Recognizing contributors
  12. Rewarding adaptation
Module 12. The principal-level portfolio
Curate a body of work that demonstrates readiness for promotion, combining technical excellence with strategic reach.
12 chapters in this module
  1. Selecting high-impact pieces
  2. Theming across projects
  3. Showing progression
  4. Adding narrative context
  5. Highlighting adoption
  6. Demonstrating influence
  7. Quantifying ripple effects
  8. Including peer validation
  9. Framing scope growth
  10. Showing leadership without title
  11. Connecting to business outcomes
  12. Preparing for review packets

How this maps to your situation

  • After completing a high-visibility project
  • When stepping into a cross-functional initiative
  • Before promotion cycles
  • When designing reusable systems

Before vs. after

Before
Delivering strong technical work that stays within team boundaries
After
Shaping decisions across product and engineering through strategically framed insights

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3-4 hours per module, designed to be completed alongside regular work over 6-8 weeks.

How this compares to the alternatives

Unlike generic leadership courses or technical upskilling, this program focuses specifically on the transition from senior individual contributor to principal-level influence, without requiring management responsibilities.

Frequently asked

Who is this course for?
Senior data scientists aiming to move into principal-level roles by expanding influence beyond technical excellence.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course require coding?
No, this focuses on strategic positioning, communication, and influence, not technical implementation.
$199 one-time. Approximately 3-4 hours per module, designed to be completed alongside regular work over 6-8 weeks..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours