A focused course, tailored for you
SaaS Workflow Platform Data IC's Capability-Authorship Playbook
How a data IC at a SaaS workflow platform anchors a capability when platform consolidation reaches data benches.
When SaaS workflow platforms consolidate around AI-augmented data delivery, ICs without documented capability authority read as fungible.
$199 one-time
Tailored to your situation. Access within 24 hours. 30-day money-back.
Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.
Why this course
SaaS workflow platforms running consolidation cycles reorganise data IC functions in the same operating-model cycle. ICs who continue running 'data work' without a documented capability they personally anchor are read by the deck as fungible. ICs whose capability reads as authored stay attached through restructure.
The ICs who survive own a documented data-capability narrative under your byline, an architectural-decision record adjacent teams quote, and a quarterly capability-state artefact the engineering director adopts.
The course covers the three artefacts and the 90-day path to capability-authorship framing. Plus a hand-built implementation playbook against your real data capability.
The 12 modules
Module 1. Reading platform consolidation for data IC implications
Consolidation at SaaS workflow platforms reorganises data IC functions in three predictable phases: enterprise platform review, product-line review, and IC-portfolio review. The diagnostic decodes which signals (revenue-per-engineer drift, AI-augmented-delivery contribution targets, data-quality SLO benchmarks) indicate that the data bench is in the redraw set. Which ICs survive as fungible and which survive as capability anchors.
Module 2. Generic data IC vs capability-authorship IC
Two structurally different framings of the same data IC seat read very differently to the consolidation review. Generic IC shows up as bench role with a deliverable-velocity number. Capability-authorship IC shows up as the leadership the platform area structurally depends on: documented data-capability narrative under your byline, ADR adjacent teams cite, and quarterly state artefact the engineering director adopts.
Module 3. Your documented data-capability narrative
Pick one data capability you currently anchor (data-warehouse modelling, real-time pipeline orchestration, data-quality framework, ML-feature platform, AI-capability data layer). Write the narrative as a Senior-IC-grade two-page document under your byline anchored to measurable platform metrics: throughput, latency, data-quality SLO, cost-per-record, and downstream product KPI contributions. Three structural templates.
Module 4. Architectural-decision record
An architectural-decision record (ADR) adjacent teams quote is the most defensible capability-authorship artefact at SaaS scale. The ADR covers context (data constraint, regulatory overlay, scale target), considered options, decision (architectural pattern, technology selection, migration path), consequences, and rollback path. The packaging that makes ADRs cited by adjacent platform teams and the way to surface them as your authorship in the codebase, runbooks, and engineering wiki.
Module 5. Quarterly capability-state artefact for the engineering director
The quarterly artefact is a two-page state document covering data-capability momentum, adoption trends, reliability outcomes, cost trajectory, downstream product KPI contributions, and emerging risks. Cadence is end-of-quarter delivery to engineering director with copies to product, SRE, and adjacent data team leads. Three worked examples from real SaaS workflow data IC portfolios at different consolidation stages.
Module 6. Working with product, SRE, and adjacent data teams
Data IC work overlaps product (PM partnership, KPI ownership), SRE (data-reliability operations, on-call response), and adjacent data teams (data-engineering, analytics-engineering, observability, ML platform). The collaboration pattern that strengthens defensibility: shared ADR adoption, joint reliability reviews, cross-team capability reviews credited by IC name. Examples that elevated a data IC to Senior.
Module 7. Reliability, data-quality, and cost-per-record storytelling
Data-quality outcomes and cost-per-record are what finance and SRE leadership read first in consolidation reviews. Format the data-quality-and-cost story as a four-quarter trend with cost-per-record breakdown, data-quality SLO performance, reliability SLO performance, and forward optimisation pipeline. Three storytelling templates and the talking points each gives the engineering director.
Module 8. Cross-capability leverage
Reusable data IC practices that scale across capabilities: ADR templates, data-modelling pattern libraries, data-contract patterns, data-quality framework templates, observability instrumentation models, deployment-pipeline patterns. The leverage pattern that signals capability-authorship IC work rather than vertical capability coverage. How to convert delivered data work into published practice the engineering director cites.
Module 9. External presence: OSS, conferences, technical blog
External presence strengthens capability-authorship positioning by establishing recognised authorship outside the firm. The publication and contribution cadence (OSS contributions to data-tooling projects, conference talks at data-and-ML conferences, technical blog posts on the company engineering blog) that protects data IC seats through consolidation.
Module 10. Scope statement: IC vs Senior IC / Staff Engineer
Two overlapping seats with different scopes. IC scope covers capability delivery, ADR contribution, IP authorship at capability level. Senior IC scope adds multi-capability technical leadership and adjacent-team partnership. Staff Engineer scope adds cross-org technical strategy, architectural-decision ownership, and engineering-cabinet participation. The scope statement that puts you in the Staff track defensibly.
Module 11. Promotion mechanics inside SaaS workflow platform data
Internal path from IC to Senior to Staff. The promotion artefact (capability narrative, ADR-adoption record, cross-team partnership outcomes, external presence) and the cycle calendar (mid-year review, year-end performance review, promo committee, announcement). What gets a data IC shortlisted, what blocks an IC who is otherwise qualified, and how to time your move.
Module 12. Your 90-day move to capability-authorship framing
Day-by-day plan with daily artefacts. Days 1-7: data-capability narrative scaffold drafted with metric inventory. Days 8-21: ADR v1 drafted with adjacent-team adoption confirmed. Days 22-45: quarterly artefact v1 delivered to engineering director. Days 46-60: multi-capability technical-leadership conversation. Days 61-90: Senior or Staff conversation scheduled with promo-committee sponsor identified in module 11.
How this addresses your situation
Specific modules that map to what you said you are dealing with.
Modules 1 and 2 cover the diagnostic.
Modules 3 to 5 produce the three artefacts.
Modules 6 to 9 cover cross-team cadence, quality-cost storytelling, leverage, and external presence.
Modules 10 to 12 cover scope, promotion, and 90-day execution.
FAQ
Will the engineering director actually quote my data-capability narrative?
Module 3 is built around the format directors quote.
What if my capability spans multiple platform areas?
Module 3 covers that case.
Why pay for this instead of reading free data content?
Free content covers technique.
Is Senior or Staff actually open?
Module 11 covers that diagnostic.
What is in the implementation playbook for me specifically?
A draft data-capability narrative; a draft ADR; a 90-day plan with conversations against your engineering director.
