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Data Stewardship & Ownership:
How Do You Align IT And Marketing On Data Priorities?

Create one joint backlog, one shared roadmap, and enforce data contracts with service levels. Govern with a cross-functional council and fund by business value so IT reliability and Marketing growth move in lockstep.

Enhance Customer Experience Activate Agentic AI

Align IT and Marketing by prioritizing shared outcomes over projects. Stand up a Data & AI Council (CIO, CMO, RevOps, Finance, Legal) that owns: (1) a single value-scored backlog tied to revenue and risk, (2) data product owners who publish contracts for key domains (identity, consent, campaigns), and (3) SLAs/SLOs for freshness, quality, and access. Fund quarterly increments and measure success with lift, latency, and issue MTTR.

Principles For IT–Marketing Alignment

One backlog, one roadmap — Consolidate requests into a single, value-ranked portfolio; no parallel queues.
Data as a product — Assign data product owners with clear decision rights and budgets.
Contracts over tickets — Define schemas, SLAs (freshness, completeness), and SLOs (uptime, latency) for each data set.
Shared KPIs — Tie work to pipeline lift, CAC/payback, consent coverage, identity match rate, and MTTR for data incidents.
Quarterly planning, monthly reviews — Capacity planned by team; scope adjusted by value and risk reduction.
Compliance by design — Consent, privacy, and retention baked into requirements—not added later.

The IT–Marketing Alignment Playbook

A practical sequence to convert business priorities into funded, governed data work.

Step-By-Step

  • Form the Data & AI Council — CIO, CMO, RevOps (Revenue Operations), Finance, and Legal establish decision rights and cadence.
  • Define value metrics — Agree on revenue impact, risk reduction, and effort scoring to rank backlog items.
  • Name data product owners — Assign owners for Identity, Consent, Campaigns, Accounts, and Content.
  • Publish data contracts — Document schemas, quality thresholds, lineage, and SLAs/SLOs per product.
  • Run quarterly PI planning — Lock capacity; select the highest-value increments and dependencies.
  • Operate issue management — Track defects, root cause, and mean time to restore with visible dashboards.
  • Review and reallocate — Monthly outcome review; shift capacity toward initiatives proving lift and reliability.

Alignment Mechanisms: What They Solve

Mechanism Purpose Owners Inputs Outputs Cadence
Joint Backlog Unify priorities and eliminate competing queues CIO, CMO, RevOps Business cases, risks, effort Ranked list with funding Weekly groom; monthly commit
Data Contracts Guarantee schema, freshness, and quality Data Product Owners Schemas, SLAs, lineage Versioned specs; change notices On change; quarterly audit
Release/PI Planning Align capacity to top-value outcomes IT Delivery & Marketing Ops Backlog rank, capacity Roadmap & dependencies Quarterly
Quality & Incident Reviews Reduce defects and restore faster Data Engineering & Ops Defect logs, MTTR, root cause Fix plans; prevention actions Bi-weekly
Outcome Scorecards Prove business value and reliability Council Lift, CAC, consent, SLOs KPI trends; budget shifts Monthly

Client Snapshot: One Backlog, Faster Wins

A global B2B team replaced siloed queues with a joint backlog and data contracts for identity and consent. Within two quarters, identity match rate rose from 58% to 83%, consent coverage improved by 21 points, and paid activation latency dropped from 48 hours to 6 hours—fueling a 14% lift in qualified pipeline at steady spend.

Connect governance to execution with RevOps guardrails and a shared roadmap so IT stability and Marketing growth reinforce each other.

FAQ: Aligning IT And Marketing On Data

Fast answers for executives and operators.

Who decides what gets built first?
The Data & AI Council ranks a single backlog by revenue impact, risk reduction, and effort. Funding follows rank, not function.
What is a data contract?
A documented promise for schema, definitions, freshness, and quality thresholds with SLAs/SLOs—owned by a data product owner.
How do we prevent scope creep?
Lock quarterly capacity in PI planning; use change control for mid-cycle swaps with explicit value trade-offs.
How do we measure success?
Track pipeline lift, CAC/payback, consent coverage, identity match rate, time-to-insight, data incident MTTR, and SLO attainment.
Where does RevOps fit?
RevOps (Revenue Operations) bridges go-to-market and IT—owning the operating model, backlog hygiene, and KPI scorecards.

Unify Priorities And Deliver Outcomes

We’ll help you stand up the council, publish contracts, and run a shared roadmap that proves value and reliability.

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