PM Onboarding: Data Platform Engineering

Ramp & Alignment

(Days 0–30)

1. Understand data architecture, integrations, and current challenges.

2. Establish roadmap & artifact hygiene (Productboard, Jira, Confluence).

3. Build cross-functional relationships and gather context.

• Current State Summary in Confluence (data flow diagrams, key issues, dependencies).

• Clean, up-to-date roadmap in Productboard linked to Jira.

• Weekly stakeholder sync cadence established with Eng Lead & Head of Product.

• At least 2 customer or internal discovery sessions attended.

Platform architecture, data pipeline, and XStream workflows clearly documented.

No stale or unlinked Productboard items.

Initial alignment and trust built with Engineering, Data, and Support.

Daily/weekly hygiene routines established.

Definition & Prioritization

(Days 31–60)

1. Define near-term DPE + XStream roadmap using WSJF-RICE scoring.

2. Lead first Discovery Briefs (e.g., Pipeline Reliability, Integration Health).

3. Implement structured prioritization process & conduct IPF presentation.

• Now–Next–Later roadmap with scored initiatives (MRR₁₂, Reach, Risk, Time Criticality).

• 2 completed Discovery Briefs (validated via user/stakeholder interviews).

• Presentation at Release Review.

• Roadmap review cadence established with Head of Product.

Every roadmap item is scored and aligned to company OKRs.

Validated, documented discovery with stakeholder sign-off.

Leadership confidence in roadmap direction.

Productboard → Jira linkage verified for active work.

Execution & Measurable Impact

(Days 61–90)

1. Ship 1 measurable platform improvement (e.g., telemetry, reliability, or schema enhancement).

2. Establish ongoing roadmap hygiene & stakeholder transparency.

3. Operationalize continuous discovery and 14/30/90 Outcome Reviews.

• First Outcome Review (T+14 and T+30) completed for 1 shipped initiative.• Bi-weekly stakeholder update published (roadmap, progress, risks).

• Productboard Portal view live for internal visibility.

• Continuous Discovery cadence defined (weekly interviews, analytics review).

First measurable platform release delivered with baseline KPI improvement (e.g., reduced error rate or latency).

Weekly roadmap hygiene sustained.

Transparent progress reporting via Confluence and Productboard Portal.

Discovery culture and cadence embedded in DPE team.