IT Hiring Trends 2026: What's in Demand Across Banking, Healthcare, and Retail

Trend pieces are usually written from surveys. This one is written from our requisition flow — the roles clients actually opened, filled, and fought over across the past year, particularly in the three industries where OKAYA places most heavily: financial services, healthcare, and retail. Here's what the demand actually looks like in 2026, and what it means depending on which side of the interview table you sit on.

The through-line: AI moved from pilot to plumbing
Two years ago, AI reqs were exploratory — a lab here, a proof of concept there. This year the demand shifted to the unglamorous middle: engineers who can wire models into existing systems, evaluate outputs, put guardrails around them, and run them in production. Titles vary — AI engineer, platform engineer, ML engineer — but the skill that gets contracts signed is integration judgment, not model research. Alongside it, data engineering demand just keeps climbing; every AI ambition turns into a data quality project within a quarter, and clients have learned to hire for that first.

The other cross-industry constant: security. Identity and access work, cloud security posture, and now AI governance and audit roles — a category that barely existed three years ago and shows up in every regulated industry's req list this year.

Banking and financial services
The busiest corner of our book. Modernization programs — moving core systems off mainframes and into cloud-native stacks — continue to fund large teams of Java, cloud, and data specialists, with payments and regulatory reporting especially active. Legacy skills refuse to die on schedule: COBOL and mainframe roles keep paying real money because the migrations keep taking longer than the roadmaps promised. Risk and compliance technology is a steady vein, and fraud plus AML platforms are hiring aggressively as AI-assisted fraud gets better.

Healthcare and life sciences
Interoperability is the word of the year — FHIR-literate integration engineers are among the hardest profiles to source at any price. Epic and Cerner ecosystems generate constant demand for analysts and integration specialists. Patient-experience platforms, telehealth infrastructure, and revenue-cycle automation all keep hiring through budget cycles that cooled elsewhere, and anything touching clinical data carries a privacy-experience premium: candidates who can say HIPAA and mean it get interviewed first.

Retail and e-commerce
Retail hiring runs closest to the consumer economy, so it's choppier — but the durable demand is in data: customer data platforms, personalization, demand forecasting, and the supply-chain analytics that pandemic-era chaos permanently funded. Seasonal delivery surges keep contract staffing structurally attractive here, and composable-commerce migrations (replatforming off monolith storefronts) are this year's recurring project pattern.

What it means for each side
If you're hiring: the scarce profiles — FHIR integrators, production-LLM engineers, senior data platform people — are decided by process speed. Slow loops lose them; we watch it weekly. Bridge scarce seats with contractors while permanent searches run, and stop writing four-role reqs for one salary.

If you're a candidate: the market rewards depth-plus-adjacency. Data engineers who add real AI-pipeline experience, security people who learn AI governance, healthcare integrators who speak FHIR — each of those combinations moved people up a rate band this year. Pick the adjacency nearest your base and build one honest project in it. In this market, that's often worth more than a title bump.

Common questions
Is the market hot or cold right now?
Both, genuinely. Commodity profiles face more competition than 2021; scarce profiles have never had more leverage. Averages hide everything — what matters is which curve your skills sit on.

Will AI shrink IT hiring overall?
It's reshuffling more than shrinking, so far. Routine production work is compressing; demand for people who build, govern, and integrate the automation keeps growing. The safest ground is judgment-heavy work close to the business — same as it ever was.