Managerial Tier · 4 PCF processes across 3 process groups
Computed from PCF 7.0's confirmed RACI data using the Responsible/Accountable touch rule.
This role spans three value streams — HR Vision-to-Strategy (7.1.2, 7.1.4), Recruit-to-Hire (7.2.4, offer terms), and Reward-to-Retain (7.5.1) — more group-spanning than a Managerial-tier role's title might suggest.
Each Mixed-pattern process is shown with its own aggregate rollup row (a proportional pattern-mix bar), followed by its individual Level 4 activities.
| PCF | Activity | Pattern | M1 UNDESIGNED | M2 EMERGING | M3 ★ DESIGN INTENT | M4 OPTIMIZED | M5 LEADING | Δ M1→M3 |
|---|---|---|---|---|---|---|---|---|
| 7.1.2 | Develop and implement workforce planning, policies, and strategies | 78% | 69% | 56% | 43% | 33% | -22% | |
| 7.1.2.1 | Perform strategic workforce planning | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.2 | Develop total compensation and rewards strategy | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.3 | Develop succession plan | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.4 | Develop high performers/leadership programs | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.5 | Develop diversity, equity, and inclusion plan | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.6 | Implement diversity, equity, and inclusion plan | Transaction | 60% | 48% | 35% | 22% | 12% | -25% |
| 7.1.2.7 | Design talent acquisition program | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.8 | Design talent development program | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.9 | Develop other HR programs | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.10 | Develop HR policies | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.11 | Administer HR policies | Transaction | 60% | 48% | 35% | 22% | 12% | -25% |
| 7.1.2.12 | Plan employee benefits | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.13 | Develop workforce strategy models | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.1.2.14 | Implement workforce strategy models | Transaction | 60% | 48% | 35% | 22% | 12% | -25% |
| 7.1.2.15 | Manage job families | Transaction | 60% | 48% | 35% | 22% | 12% | -25% |
| 7.1.2.16 | Develop and maintain job descriptions | Document | 72% | 58% | 40% | 28% | 18% | -32% |
| 7.1.4 | Develop competency management models | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.2.4 | Manage new hire/re-hire | 75% | 65% | 52% | 41% | 32% | -23% | |
| 7.2.4.1 | Draw up and make offer | Document | 72% | 58% | 40% | 28% | 18% | -32% |
| 7.2.4.2 | Negotiate offer | Decision | 92% | 88% | 80% | 72% | 65% | -12% |
| 7.2.4.3 | Hire candidate | Transaction | 60% | 48% | 35% | 22% | 12% | -25% |
| 7.5.1 | Develop and manage reward, recognition, and motivation programs | 79% | 71% | 58% | 45% | 35% | -21% | |
| 7.5.1.1 | Develop salary/compensation structure and plan | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.5.1.2 | Develop benefits and rewards plan | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.5.1.3 | Perform competitive analysis of benefits and rewards | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.5.1.4 | Identify compensation requirements based on financial, benefits, and HR policies | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.5.1.5 | Administer compensation and rewards to employees | Transaction | 60% | 48% | 35% | 22% | 12% | -25% |
| 7.5.1.6 | Reward and motivate employees | Transaction | 60% | 48% | 35% | 22% | 12% | -25% |
| 7.5.1.7 | Review engagement and retention indicators | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.5.1.8 | Review compensation plan | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
| 7.5.1.9 | Review benefits and rewards plan | Knowledge | 85% | 78% | 65% | 52% | 42% | -20% |
The one Decision-pattern activity in this role's entire scope — 7.2.4.2, Negotiate offer — carries the highest M1 baseline (92%) of anything the role touches. Everything else is Knowledge (compensation strategy, benefits design, competitive analysis) or Transaction (administering pay and rewards, processing offers).
This role's reporting line was set to Director of TA specifically because of the 7.2.4 offer-terms touch — and that touch turns out to be the most distinctive thing about this profile. Every other role built so far has its Decision-pattern (if any) embedded in a strategic process; here it sits inside a single, concrete, human moment: negotiating what someone actually gets paid to join the company.
Josh Bersin's HR 2030 Blueprint frames exactly this kind of split directly, describing three agent types — those that take action, those that set rules, and those that observe and monitor — and states plainly that while some agents (scheduling) can run autonomously, others, naming pay and rewards specifically, still require managerial support. His May 2026 reporting on the enterprise AI vendor landscape names concrete examples already emerging: a “pay equity advocate” and a “manager approval agent,” AI roles that centralize work “that may have been owned by one or more people.” He returns twice in that piece to the Ritz-Carlton principle of empowering people to “use their own best judgment” at the point of need — which is precisely what 7.2.4.2's 92% baseline and shallow automation gap already show in this role's own data.
Bersin's framing splits this role's real work into what an agent can set/execute and what a person has to decide.
Framework connection: The Role Impact Snapshot's Knowledge/Transaction split (66%/24%) plus its single Decision-pattern activity map directly onto Bersin's take-action/set-rules/observe split — this role sets the rules and owns the one judgment call an agent can't safely make alone.
| Getting Started | Established | Future-Focused | |
|---|---|---|---|
| Role focus | Administering existing compensation and rewards programs (payroll-adjacent transaction work) | Designing reward, recognition, and benefits programs; running competitive analysis | Owning the judgment calls that stay human by design — offer negotiation, compensation exceptions, escalations an agent flags but can't resolve |
| Key activities | Draw up and process routine offers and reward payouts (automation-primed activities) | Building the compensation structure and rewards plan itself, not just executing it | Setting the rules AI ‘take action’ and ‘observe/monitor’ agents operate within for comp and rewards |
| Skills to build | Comp/benefits platform proficiency; baseline pay-equity data literacy | Program design fluency; reading competitive-analysis data; partnering with named AI ‘specialists’ (pay equity advocate, manager approval agent) rather than owning every check by hand | Governance fluency for agent-tiering (which comp decisions get automated outright vs. which require managerial sign-off); comfort being the named human backstop on pay decisions |
| Common pitfalls | Treating comp administration as purely transactional — misses the judgment calls embedded even in ‘routine’ offer processing | Assuming an AI agent's pay-equity or approval recommendation is correct without an independent human review | Letting automation creep into the offer-negotiation moment itself — Bersin is explicit some agents (scheduling) may run autonomously while others (pay, rewards) still need managerial support |
Sources: Josh Bersin, “ServiceNow Bets Big on Enterprise AI With Vision of Managing Everything,” joshbersin.com, May 6, 2026; Josh Bersin, “Introducing HR 2030: A Vision For Agentic Human Resources,” joshbersin.com, April 6, 2026. Both fetched and read in full for this profile, not paraphrased from a snippet.