Integrated Management Skill Combinations in 100 Fortune 100 Vacancies: August 2026 Reanalysis
An MTF analysis of 100 current management vacancies showing how strategy, operations, customers, data, governance and people capabilities appear together.
Advanced Executive Program in Management & Business Administration develops connected capability across strategy, finance, customers, operations, technology and people. This practical vacancy and skills analysis can be used before enrollment, during executive study or inside an authorized workplace exercise.
Career advice often lists skills independently. This analysis asks a different question: which capabilities appeared together in the same vacancies, and what does that imply for building an integrated management evidence portfolio?
Research finding
Which combinations of capabilities should an aspiring general manager practice instead of treating management skills as isolated subjects? Use the tool on this page to produce an evidence-backed capability combination map based on 100 coded vacancies. Start with a bounded decision, retain the evidence behind every material claim, and distinguish what is known from what is assumed. The tool is designed to improve management preparation and review; it does not replace the authority, specialist judgement or procedures required by an employer.
Why isolated skill rankings misdescribe executive work
The vacancy and skills analysis creates a compact common language for those connections. It does not force every organization into the same answer. Instead, it makes local definitions, evidence, constraints and accountability visible. That is useful when a management team agrees on the goal but disagrees about the route, or when confident recommendations rely on incompatible assumptions.
Dataset and reanalysis design
| Element | Management purpose | Minimum evidence |
|---|---|---|
| Sampling frame | One hundred management vacancies captured on 10 August 2026 from eight Fortune 100 employers. | The purposive snapshot supports comparison inside the sample, not a claim about every management job. |
| Coding model | Fourteen binary capability families were coded from responsibilities and requirements. | The categories expose substantive work such as strategy, operations, finance, data, customers and governance. |
| Breadth | Vacancies contained between five and fourteen coded capability families, with a mean of 9.9. | Breadth shows that many roles combined several forms of work. |
| Common capabilities | Customer or market appeared in 98 vacancies, execution or operations in 97, stakeholder communication in 93 and governance or risk in 90. | Frequency describes this sample, not proficiency or importance in every role. |
| Capability pairs | Execution plus data appeared in 85 vacancies; strategy plus execution in 81; technology plus governance in 67. | Co-occurrence points to combinations worth practicing together. |
| Practical use | Candidates can build artifacts that demonstrate connected judgement rather than keyword coverage. | The analysis informs development choices but does not guarantee hiring outcomes. |
1. Sampling frame
One hundred management vacancies captured on 10 August 2026 from eight Fortune 100 employers. The purposive snapshot supports comparison inside the sample, not a claim about every management job.
Review question: What observable evidence would confirm that sampling frame is working in the selected scope, and who has authority to respond when it is not?
2. Coding model
Fourteen binary capability families were coded from responsibilities and requirements. The categories expose substantive work such as strategy, operations, finance, data, customers and governance.
Review question: What observable evidence would confirm that coding model is working in the selected scope, and who has authority to respond when it is not?
3. Breadth
Vacancies contained between five and fourteen coded capability families, with a mean of 9.9. Breadth shows that many roles combined several forms of work.
Review question: What observable evidence would confirm that breadth is working in the selected scope, and who has authority to respond when it is not?
4. Common capabilities
Customer or market appeared in 98 vacancies, execution or operations in 97, stakeholder communication in 93 and governance or risk in 90. Frequency describes this sample, not proficiency or importance in every role.
Review question: What observable evidence would confirm that common capabilities is working in the selected scope, and who has authority to respond when it is not?
5. Capability pairs
Execution plus data appeared in 85 vacancies; strategy plus execution in 81; technology plus governance in 67. Co-occurrence points to combinations worth practicing together.
Review question: What observable evidence would confirm that capability pairs is working in the selected scope, and who has authority to respond when it is not?
6. Practical use
Candidates can build artifacts that demonstrate connected judgement rather than keyword coverage. The analysis informs development choices but does not guarantee hiring outcomes.
Review question: What observable evidence would confirm that practical use is working in the selected scope, and who has authority to respond when it is not?
Reproducible calculation procedure
Step 1: Define the universe
The source project selected eight large employers from a defined Fortune 100 frame. The immediate output is a documented employer set.
Step 2: Capture comparable vacancies
The project retained 100 role records and source URLs on one capture date. The immediate output is a dated vacancy snapshot.
Step 3: Apply the framework
Each vacancy was coded against fourteen capability families. The immediate output is a row-level coded dataset.
Step 4: Validate coding
The analysis retained source inventory and coding definitions for review. The immediate output is traceability to source text.
Step 5: Calculate frequencies
Counts were computed for each capability family. The immediate output is a descriptive capability profile.
Step 6: Calculate combinations
Selected pairs were counted only when both codes appeared in the same vacancy. The immediate output is a co-occurrence view.
Step 7: Interpret cautiously
Counts were not treated as causal, representative or equivalent to skill level. The immediate output is bounded conclusions.
Step 8: Translate to practice
Capability pairs were converted into evidence-portfolio suggestions. The immediate output is actionable development choices.
Reading a co-occurrence result
A candidate with strategy experience wants to demonstrate broader general-management readiness. Instead of adding disconnected course labels, the candidate can build a decision artifact that connects strategy to operations, data, customer outcomes and financial consequences, then document the reviewers and limitations.
| Evidence or choice | Current entry | Interpretation | Management response |
|---|---|---|---|
| Execution + data | 85 of 100 | Operational decisions frequently appeared with analytical evidence | Build a capacity or quality decision with verified data |
| Strategy + execution | 81 of 100 | Direction and delivery often appeared together | Translate a choice into owners, measures and sequence |
| Stakeholder + presentation | 71 of 100 | Coordination often required clear communication | Create an executive memo and stakeholder readout |
| Technology + governance | 67 of 100 | Digital work often appeared with control expectations | Pair a technology proposal with risk and decision rights |
| People + change | 51 of 100 | Workforce leadership and transformation overlapped | Build a change plan with capacity and feedback evidence |
Interpretation risks
- Treating the sample as the whole labor market.
- Equating mention frequency with importance.
- Claiming that co-occurrence proves causation.
- Turning broad codes into precise skill-level claims.
- Using employer brand as proof of universal practice.
- Reading a dated snapshot as a permanent forecast.
Research questions
Is the sample statistically representative?
No. It is a purposive dated sample of 100 vacancies from eight Fortune 100 employers.
Does a vacancy mention prove that the employer tested the skill?
No. The analysis observes published responsibilities and requirements, not selection or on-the-job assessment.
Why analyze combinations?
General management requires connections across functions. Co-occurrence helps identify combinations that a practical portfolio can demonstrate.
Can the dataset predict hiring?
No. It can inform questions and development choices, while hiring depends on role context, evidence, competition and employer decisions.
Source archive and research-status note
The most important limitation is reproducibility of coding rather than arithmetic. Because the published data book does not contain the raw captured vacancy text or coded excerpts, a reviewer can reproduce the sums but cannot independently decide whether each binary code accurately represents the text available on 10 August 2026. Link checking in September would answer a different question—whether a URL still resolves—not what the archived vacancy said. The revision therefore avoids claiming an independently recoded dataset.
Archive integrity checks
Run three mechanical tests whenever the draft changes: category frequencies equal column sums; employer counts total 100; and every reported pair equals the sum of the two binary columns multiplied row by row. Recalculate displayed percentages from the 100-row denominator rather than editing them manually. Check that breadth uses all 14 and only those 14 categories.
If raw text or coded excerpts are later archived, treat independent recoding as a new method stage with versioned results. Do not silently replace the existing binary matrix or reuse the DOI as though the research object had not changed.
Interpreting common pairs against marginal frequency
The source object is archived at Zenodo record 21877632 under DOI 10.5281/zenodo.21877632. The employer frame described by the original report refers to the 2026 Fortune 500 ranking. Readers should use the archived workbook for the binary matrix and preserve its August 2026 capture date when citing results.
A high pair count partly reflects high individual frequencies. Execution/operations appears in 97 rows and customer/market in 98, so their co-occurrence of 96 is unsurprising. It still shows that the two codes were almost always present together in this sample, but it does not prove a distinctive association beyond those margins.
One descriptive check is the expected pair under independence: frequency A × frequency B / 100. For execution and customer, that value is 97 × 98 / 100 = 95.06; the observed 96 is close. For strategy and execution, the independence value is 83 × 97 / 100 = 80.51; the observed 81 is also close. These calculations are descriptive checks, not significance tests, because the purposive sample does not support population inference.
This perspective changes the practical use of the report. The strongest conclusion is breadth and integration across the coded vacancies, not that one pair is an unexpected labour-market signal. Curriculum designers can use the matrix to create exercises requiring several domains at once. Career readers should demonstrate connected work rather than copy category labels. A future study designed for association testing would need a defined sampling frame, richer role strata and an analysis plan established before results are known.
Pair counts can also be read as conditional proportions inside the sample. Of the 83 rows coded for strategy/planning, 81 were also coded for execution/operations, or 97.6%. Of the 97 execution rows, 81 included strategy, or 83.5%. The two percentages answer different descriptive questions because their denominators differ. State the denominator whenever a pair is converted into a percentage. Do not describe either conditional share as the probability that a randomly selected management vacancy outside this dataset requires the paired capability.
The employer distribution is uneven, ranging from five CVS Health rows to 18 Apple rows. An overall pair may partly reflect the employers and role families included. Employer-level comparison would require sufficient rows and a protocol designed for that purpose; the existing counts are too small for confident ranking of employers. Keep the analysis at the archived-sample level.
Three-category intersections
Pairs show two coded categories at a time, but integrated management work often combines more. Mechanical intersection of three binary columns produces additional descriptive results:
| Three-category intersection | Rows coded for all three |
|---|---|
| Strategy/planning + execution/operations + customer/market | 80 |
| Execution/operations + data/analytics + governance/risk | 77 |
| Customer/market + stakeholder/communication + governance/risk | 83 |
| Strategy/planning + financial/commercial + people leadership | 36 |
These values were calculated by multiplying the three binary indicators row by row and summing the products. A row contributes one when all three values equal one and zero otherwise. The first three intersections are high partly because their marginal categories are common. The final intersection is lower partly because financial/commercial and people leadership appear in sixty-three and sixty-five rows.
Do not rank the intersections as distinct job families. They overlap substantially: one vacancy coded across ten categories contributes to many pairs and triples. Adding more categories also tends to reduce counts mechanically, so a four-category intersection should not be described as less important merely because it is smaller.
Role-design use
The intersections can inform realistic exercises. A strategy exercise should require an operating mechanism and customer evidence rather than only a vision statement. A data exercise can require governance, source limitations and an execution decision. A stakeholder case can include a customer commitment and a control boundary. These combinations mirror the integrated structure of the coding matrix without asserting that every role needs identical depth.
For career evidence, one artifact may demonstrate several connected capabilities: a pricing decision can show strategy, finance, customer segmentation, capacity and stakeholder influence. The candidate should explain their contribution, context and result rather than list the category names. The matrix identifies what appeared together in the archived descriptions; it does not assess an individual’s proficiency.
Recalculation checklist
- Confirm one hundred rows and fourteen binary category columns.
- Verify every category cell is zero or one and missingness is zero.
- Recompute marginal frequencies before intersections.
- State every denominator when reporting a percentage.
- Preserve employer and source identifiers during checks.
- Keep the August 2026 capture date beside every result.
- Separate arithmetic reproduction from independent validation of coding.
These steps allow a reader to reproduce the displayed numbers while respecting the boundary of the archived evidence.
August 2026 co-occurrence reanalysis
This article is a dated reanalysis of the archived binary coding matrix published with MTF Institute Research Report MTF-RR-2026-08-10-01. It does not claim that the vacancies are current on 15 September 2026, and it does not present a new 100-vacancy sample. The useful question is narrower than “which skills are most common?”: which management-skill categories were coded together often enough to illustrate the integrated demands represented in this particular sample?
Data and reproducibility boundary
The downloaded data book contains six sheets: README, Results, Coding Matrix, Employer Summary, Codebook and Source Inventory. The Coding Matrix has 100 sample IDs, 100 distinct source URLs, eight employers and 14 binary skill columns. There are no missing cells in the matrix. Employer counts are Apple 18, Alphabet 15, Amazon 13, UnitedHealth Group 13, McKesson 12, Microsoft 12, JPMorgan Chase 12 and CVS Health 5.
The archive permits independent recalculation of frequencies, breadth and category co-occurrences from the published 0/1 matrix. It does not include the raw vacancy text or coded excerpts in the data book. Therefore this reanalysis cannot independently reproduce the original lexical coding judgment or audit whether every 1 and 0 was assigned correctly. The Source Inventory provides the sampled URLs and access dates, but later page availability or content should not be mistaken for the text captured on 10 August 2026.
The sample is purposive rather than a probability sample of all management vacancies or all Fortune 100 employers. Counts describe the archived sample. They should not be generalized into population prevalence, hiring probability or a causal claim about career outcomes.
Recalculation method
For category j, frequency is Σ xᵢⱼ across the 100 rows. For a pair of categories j,k, co-occurrence is Σ (xᵢⱼ × xᵢₖ). Row breadth is the sum of the 14 category values for that vacancy. Pair counts are mechanically high when both individual categories are common, so interpretation should consider both the pair count and the marginal frequencies.
The independently recalculated marginal frequencies are:
| Skill category | Vacancies coded | Share of sample |
|---|---|---|
| Customer / market | 98 | 98% |
| Execution / operations | 97 | 97% |
| Stakeholder / communication | 93 | 93% |
| Governance / risk | 90 | 90% |
| Data / analytics | 86 | 86% |
| Strategy / planning | 83 | 83% |
| Change / transformation | 77 | 77% |
| AI / digital / technology | 75 | 75% |
| Communication / presentation | 75 | 75% |
| People leadership | 65 | 65% |
| Financial / commercial | 63 | 63% |
| Problem solving / decision | 42 | 42% |
| Program / project management | 25 | 25% |
| Negotiation / vendor | 21 | 21% |
Breadth ranges from 5 to 14 categories, with mean 9.9 and median 10. The breadth metric is not a measure of job difficulty or candidate quality. It reflects how many categories the coding scheme marked in each archived vacancy.
Most frequent combinations
| Pair | Co-occurring vacancies | Interpretation within this sample |
|---|---|---|
| Execution + customer/market | 96 | Operational delivery and customer/market orientation were almost universally coded together |
| Stakeholder + customer/market | 92 | Customer work commonly appeared with stakeholder demands |
| Execution + stakeholder | 92 | Delivery was commonly paired with coordination and influence |
| Customer/market + governance/risk | 88 | Customer orientation did not appear separate from control expectations |
| Execution + governance/risk | 87 | Operating responsibility was frequently paired with governance |
| Execution + data/analytics | 85 | Delivery and analytical capability were strongly connected in the matrix |
| Data/analytics + customer/market | 85 | Analytics was commonly situated in customer/market work |
| Stakeholder + governance/risk | 84 | Influence and control responsibilities frequently co-occurred |
| Strategy/planning + execution | 81 | Strategy was commonly coded with implementation demands |
| Strategy/planning + customer/market | 81 | Strategic work was frequently paired with external orientation |
These are pair counts, not unique competency bundles. One vacancy can contribute to many pairs. For example, a row coded for strategy, execution, data, customer and governance contributes ten distinct pairs among those five categories. Pair tables therefore describe overlapping signals, not ten separate vacancy groups.
Three integrated patterns
Strategy–execution–customer. Strategy/planning appears in 83 rows, execution/operations in 97 and customer/market in 98; strategy co-occurs with each of the latter two in 81 rows. Within the coding system, strategic responsibility rarely appears as detached long-range planning. A practical development implication is to ask learners to connect a choice with operating capacity and a defined customer outcome.
Execution–data–governance. Execution with data appears in 85 rows, execution with governance in 87, and the existing page’s technology/governance calculation can be recomputed as 67. The useful interpretation is not “every manager must become a data scientist.” It is that delivery, evidence and control were frequently represented together. A management artifact should therefore show data definitions, decision authority and verification, not only an action plan.
Customer–stakeholder–governance. Customer with stakeholder and customer with governance appear in 92 and 88 rows. This suggests that customer orientation in the sample was commonly embedded in influence and risk responsibilities. A simplistic customer-first recommendation may be incomplete if it ignores commitments, policy or stakeholders who enable delivery.
Worked row and worked pair
Suppose a fictional row has ones for strategy, execution, data, customer, stakeholder, governance, change, technology, people and finance, and zeros for the other four categories. Its breadth is 10. It contributes once to strategy+execution, once to execution+data, once to customer+governance and to every other pair among the ten selected categories. Removing the row would reduce each of those pair counts by one but would not justify recoding any other row.
To reproduce execution+data, filter the matrix where both columns equal 1 or multiply the two binary columns row by row and sum the result. The total is 85. To check breadth, sum across the 14 categories for each row and calculate descriptive statistics; the mean is 9.9 and median 10. These calculations use the archived matrix exactly as published.
What this analysis can and cannot support
It can support curriculum mapping, portfolio design and practical exercises that combine several management domains. It can motivate closer reading of current role descriptions. It cannot establish that one category causes employability, that the eight employers share one competency model, or that a candidate should list ten keywords without evidence. It cannot determine changes after the capture date without a new protocol and a new dataset.
Future research should archive permitted text or structured excerpts, define sampling and deduplication in machine-readable form, use independent coders or a documented validation sample, report agreement, and distinguish role family, seniority, geography and date. A later wave should be published as a separately versioned research output rather than silently replacing the August matrix.
For managers, the appropriate response is to build evidence of integration: a strategy decision linked to economics, customer outcome, operating capacity, responsible technology use and people implementation. The Advanced Executive Program in Management & Business Administration is designed around that connected general-management capability.