Career progression in STEM is often discussed as though it were a problem of supply. If more women and underrepresented groups enter the system, if they are better supported early on, if confidence and ambition are encouraged, progression will naturally follow.
After decades working across science, leadership, policy, entrepreneurship, and community building, I no longer believe that framing is accurate.
The issue is not supply. It is not aspiration. It is not even talent.
The issue is architecture.
STEM careers are built on structures designed for speed, not longevity. They reward early momentum but struggle to accommodate complexity, interruption, or evolution. As a result, many highly capable people do not fail out of STEM. They are slowly eroded by it.
This article is not a set of quick fixes. It is an attempt to articulate what genuinely supports progression over decades, what reliably undermines it, and why so many well-intentioned interventions miss the point.
Progression Is Not a Ladder
The dominant metaphor for career progression in STEM remains the ladder. You move up, rung by rung, ideally without stepping sideways or pausing. Deviations are treated as risks. Gaps are interrogated. Non-linear paths require explanation.
This metaphor is fundamentally flawed.
STEM careers unfold over forty or fifty years. Knowledge compounds. Technologies shift. Personal circumstances change. Entire disciplines evolve or disappear. Expecting linear ascent under these conditions is neither realistic nor rational.
But systems continue to reward uninterrupted trajectories, early publication or promotion, constant availability, and visible confidence. The result is a quiet sorting mechanism. Those whose lives or working styles align with this narrow model progress. Others stall, regardless of capability.
What looks like individual underperformance is often structural misalignment.
What Actually Enables Progression Over Time
When people do progress sustainably in STEM, it is rarely because they are exceptional outliers. It is because certain conditions are present that allow talent to mature rather than burn out.
Clear, Explicit Criteria
Ambiguity is one of the most corrosive forces in career progression.
When expectations are unclear, decisions default to familiarity, comfort, and pattern matching. This advantages those who already resemble leadership or who intuitively understand unwritten rules.
Clear criteria do not remove bias, but they constrain it. They shift progression from perception to evidence.
Crucially, clarity must apply not only to outputs, but to how impact is defined. Many STEM roles involve work that is cumulative, collaborative, or enabling. Systems that value only visible, individual outputs systematically undervalue this labour.
Legitimate Non-Managerial Progression
One of the most persistent failures in STEM career design is the assumption that leadership equals people management.
This is not only inaccurate, it is wasteful.
Highly skilled technical experts, researchers, and system thinkers are often pushed into managerial roles for which they are neither trained nor suited, simply because there is no other route to progression.
Sustainable systems recognise multiple forms of leadership and influence. They allow people to deepen expertise, shape strategy, or lead innovation without abandoning their strengths.
Mentorship That Translates Power
Mentorship is often discussed as though it were a universal good. In practice, most mentoring fails because it is vague, informal, or detached from real decision-making.
What works is mentorship that explains how power actually operates.
This includes insight into how promotion decisions are made, how risk is perceived, when to speak and when to document, and how to recover from inevitable missteps. It includes sponsorship, not just advice.
Without this translation layer, mentorship becomes motivational rather than strategic.
Flexibility That Is Not Career-Limiting
Flexibility only supports progression when it is genuinely neutral.
In many STEM environments, flexible working exists on paper but carries an unspoken penalty. Those who use it are quietly reclassified as less ambitious or less leadership-ready.
This is not a policy failure. It is a cultural one.
Progression improves when flexibility is normalised at senior levels and embedded into workload design, not treated as an exception to be managed.
Leadership Literacy About Bias and Power
Progression systems function best when leaders understand that authority is not distributed evenly.
Not everyone is heard in the same way. Not everyone is rewarded for the same behaviours. Confidence is read differently depending on who displays it.
Leaders who recognise this adjust how they evaluate performance and potential. They ask who is being overlooked, not just who is most visible. They intervene earlier and more deliberately.
What Fails, Repeatedly
Many initiatives aimed at improving progression in STEM are well-intentioned. Most fail for predictable reasons.
Individual Fixes for Structural Problems
Workshops on confidence, resilience, or self-advocacy can be useful. They are not solutions.
When systemic barriers remain intact, these interventions simply ask individuals to compensate indefinitely for flawed structures. Over time, this becomes exhausting.
The pattern is familiar. The same people attend the same workshops. The system remains unchanged.
Overreliance on Informal Sponsorship
Informal networks matter. But when progression depends primarily on who knows whom, bias becomes embedded.
People who are less comfortable with self-promotion, who are newer to a culture, or who sit outside dominant norms are disadvantaged, regardless of competence.
Systems that rely on informal sponsorship without transparency inevitably reproduce existing hierarchies.
Rewarding Visibility Over Value
Many progression frameworks reward what is easiest to measure rather than what is most valuable.
Being present is mistaken for being productive. Speaking often is mistaken for leadership. Speed is mistaken for excellence.
This disadvantages those whose contributions are quieter, longer-term, or collaborative. It also encourages unsustainable working patterns.
Short-Termism
Perhaps the most damaging failure is the obsession with short-term output.
STEM organisations routinely extract maximum productivity without investing in long-term capacity. Burnout is normalised. Attrition is accepted as inevitable.
From a systems perspective, this is irrational. Experience is expensive to replace. Institutional memory matters. Leadership depth is built over time.
However, few progression models reflect this reality.
Why STEM Struggles More Than Most
STEM fields are particularly vulnerable to progression failures for three reasons.
- The belief in meritocracy is deeply entrenched. This discourages scrutiny of outcomes and reframes inequality as individual deficiency.
- Early success is overvalued. Fast starters are rewarded disproportionately, while those who develop more slowly or take alternative paths are discounted.
- Difficulty is treated as proof of legitimacy. Overwork is normalised. Endurance is celebrated. Those who question this are often framed as lacking commitment.
These norms do not produce better science or innovation. They simply narrow the field.
Career Architecture as a Design Problem
Architecture considers load, longevity, and adaptability. It assumes that systems must support weight over time, accommodate change, and resist collapse under pressure.
Applied to careers, this means designing structures that:
- Support long working lives, not just early acceleration
- Allow for pauses, pivots, and re-entry without stigma
- Value depth, not just speed
- Distribute opportunity deliberately rather than accidentally
Sustainable careers are engineered. They do not emerge by chance.
Why Networks Matter in This Context
Professional networks have a critical role to play when they move beyond inspiration and visibility.
At their best, they function as translation layers. They surface unwritten rules. They validate experiences that are often dismissed. They provide collective insight where individuals are encouraged to self-blame.
The Women in STEM Network exists within this space. Not as a substitute for institutional responsibility, but as a corrective to its blind spots.
Over time, networks can influence how careers are understood, discussed, and designed.
Looking Ahead
The next decade will reshape STEM careers whether institutions are ready or not.
Artificial intelligence, remote collaboration, interdisciplinary work, and demographic change are already altering how expertise is built and recognised. The question is whether progression systems will adapt intentionally or continue to lose talent by default.
My own long-term focus is not on helping individuals climb faster. It is on making careers inhabitable for longer.
Progression is not about constant ascent.
It is about building something that lasts.
And that, in my view, is the real work ahead.