risk identification jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-14, risk identification appears in 218 job postings indexed by Skillenai over the past 90 days — Program Manager has the most postings mentioning risk identification, with demand share up 4.9% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-14

Postings · last 90 days
218
Demand vs prior month
up 4.9% vs the prior 4 weeks
Top role · 16.5% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about risk identification

+Is risk identification in demand in 2026?

Yes. risk identification appears in 218 job postings indexed by Skillenai over the 90 days ending 2026-10-14. Program Manager accounts for the most postings mentioning risk identification (16.5% of all postings mentioning risk identification).

+What jobs require risk identification?

According to the Skillenai jobs index over the 90 days ending 2026-10-14, among roles with at least 20 postings, the highest shares mentioning risk identification are IT Solutions Architect (4.8% of that role’s postings mention risk identification), Strategic Program Manager (4.8% of that role’s postings mention risk identification), Quality Assurance Officer (4.3% of that role’s postings mention risk identification).

+What skills are commonly paired with risk identification?

Across job postings indexed by Skillenai (90 days ending 2026-10-14), risk identification most often appears alongside risk mitigation, program management, risk assessment, stakeholder management, Change Management.

+Where is risk identification most in demand?

As of 2026-10-14, the metro areas posting the most jobs requiring risk identification are Bengaluru, Long Beach, New York City, San Francisco, Bangkok, according to the Skillenai jobs index.

+How can I keep up with new risk identification content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning risk identification alongside the jobs index. You can subscribe to a daily email digest of new risk identification content from your Skillenai account.

+Which skills come before and after risk identification?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring risk identification — last 90 days

Career paths around risk identification

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before risk identification

Before risk identificationSharePoint → risk identification: 2 observed employer moves with this skill pairemployee engagement → risk identification: 1 observed employer moves with this skill pairadoption (tool adoption) → risk identification: 1 observed employer moves with this skill pairHelp Center → risk identification: 1 observed employer moves with this skill pairMS Project → risk identification: 1 observed employer moves with this skill pairPediatric Intensive Care Unit (PICU) → risk identification: 1 observed employer moves with this skill pairdata migration → risk identification: 1 observed employer moves with this skill pairsql → risk identification: 1 observed employer moves with this skill pairriskidentificati…SharePoint: 2 movesSharePoint2 movesemployee engagement: 1 movesemployeeengagement1 movesadoption (tool adoption): 1 movesadoption (tooladoption)1 movesHelp Center: 1 movesHelp Center1 movesMS Project: 1 movesMS Project1 movesPediatric Intensive Care Unit (PICU): 1 movesPediatricIntensive CareUnit (PICU)1 movesdata migration: 1 movesdata migration1 movessql: 1 movessql1 moves

Skills after risk identification

After risk identificationrisk identification → requirements gathering: 2 observed employer moves with this skill pairrisk identification → Power BI: 2 observed employer moves with this skill pairrisk identification → data analysis: 2 observed employer moves with this skill pairrisk identification → Microsoft Office 365: 1 observed employer moves with this skill pairrisk identification → ServiceNow platform: 1 observed employer moves with this skill pairrisk identification → enterprise IT initiatives: 1 observed employer moves with this skill pairrisk identification → Technical Publications: 1 observed employer moves with this skill pairrisk identification → Azure DevOps: 1 observed employer moves with this skill pairriskidentificati…requirements gathering: 2 movesrequirementsgathering2 movesPower BI: 2 movesPower BI2 movesdata analysis: 2 movesdata analysis2 movesMicrosoft Office 365: 1 movesMicrosoft Office3651 movesServiceNow platform: 1 movesServiceNowplatform1 movesenterprise IT initiatives: 1 movesenterprise ITinitiatives1 movesTechnical Publications: 1 movesTechnicalPublications1 movesAzure DevOps: 1 movesAzure DevOps1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: SharePoint2
Before: employee engagement1
Before: adoption (tool adoption)1
Before: Help Center1
Before: MS Project1
Before: Pediatric Intensive Care Unit (PICU)1
Before: data migration1
Before: sql1
After: requirements gathering2
After: Power BI2
After: data analysis2
After: Microsoft Office 3651
After: ServiceNow platform1
After: enterprise IT initiatives1
After: Technical Publications1
After: Azure DevOps1

Roles most likely to require risk identification

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
IT Solutions Architect14.8%
Strategic Program Manager14.8%
Quality Assurance Officer14.3%
Systems Integration and Test Engineer13.4%
Database Administrator (DBA)13.3%
Data Product Owner12.6%
Core Infrastructure Engineer12.4%
Electrical Engineering Manager12.4%
Quality Assurance Director22.3%
AI Product Manager42.0%

Roles with the most risk identification postings

RolePostings mentioning skillShare of skill postings
Program Manager3616.5%
Technical Program Manager125.5%
Product Manager104.6%
Systems Engineer104.6%
Business Analyst73.2%
Product Owner73.2%
Solution Architect52.3%
AI Product Manager41.8%
Engineering Manager41.8%
Risk Manager31.4%

Top companies posting jobs requiring risk identification

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring risk identification
CompanyPostings · 90 days
GeVernova8
Oracle6
Exiger4
Wf3
General Motors3
Nubank3
KBR, Inc3
JPMorgan Chase & Co.3
Etched2
360 IT Professionals2

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for risk identification

NamePostingsShare
Bengaluru52.3%
Long Beach41.8%
New York City41.8%
San Francisco41.8%
Bangkok31.4%
Beavercreek31.4%
Chicago31.4%
Hyderabad31.4%
London31.4%

Skills commonly paired with risk identification

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning risk identification by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s risk identification postings by all risk identification postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
be609ed263abbbb1
data_as_of
2026-10-14
window_days
90
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Compiled by Jared Rand · Data sourced from the Skillenai labor market index