Career Pathways in Technology

Explore top LinkedIn content from expert professionals.

  • View profile for David Steenhoek

    Think Quantum | Creator | OUTlier | AI Evangelist | Observer | Filmmaker | Tech Founder | Investor | Artist | Blockchain Maxi | Ex: Chase Bank, Mosaic, LAUSD, DC. WE build a better 🌎 2Gether. Question Everything B Kind

    11,965 followers

    Japan has placed a real Quantum computer online, letting people worldwide access advanced computing power through the internet today. This moment signals a shift where Quantum machines move from labs into shared global use. Researchers students and developers can now interact with real Quantum hardware without traveling or owning expensive systems. It turns a distant concept into a practical tool available with a connection. Unlike traditional computers that use bits, Quantum computers use qubits which can exist in multiple states at once. This allows certain problems to be explored in ways classical machines cannot match. Japan’s system is carefully controlled, offering guided access so users can learn test and experiment responsibly while protecting the delicate hardware from misuse or overload. This step matters because access changes innovation. When tools are shared, ideas grow faster. Students can practice on real systems, researchers can compare results, and small teams can test concepts without massive funding. It lowers barriers and spreads knowledge beyond elite labs into classrooms startups and curious minds across the world. The system does not replace everyday computers, and it will not instantly solve all problems. Quantum machines are specialized and still developing. But each real world use teaches engineers how to improve stability accuracy and scale. Progress comes through use feedback and patience, not hype or shortcuts. Moments like this show technology becoming more open and collaborative. Japan’s move invites the world to learn together and shape the future carefully. Quantum computing promises new ways to study materials security and nature itself. Giving global access builds trust curiosity and shared progress. It reminds us that science advances best when knowledge is opened not hidden and when powerful tools are guided by responsibility learning and cooperation for the benefit of everyone everywhere.

  • View profile for Chandrasekar Srinivasan

    Engineering and AI Leader at Microsoft

    49,924 followers

    Dear software engineers, always remember this: ( From an Engineering Manager who’s watched dozens of careers stall & grow ) If you’re wrapping tickets days early and scrolling Slack ╚ Grab the messy feature nobody understands. You’ll learn faster than any course. If every PR gets an instant “LGTM” ╚ Ask a senior to shred your code. True progress starts with uncomfortable feedback. If your code has never woken you at 2 a.m. ╚ Take the next on‑call rotation. A single outage teaches systems thinking more than six sprints. If you haven’t explained your work to a junior ╚ Mentor one. Teaching forces you to spot and fix gaps in your own knowledge. If the architecture doc never changes after launch ╚ Stress‑test it for 10× traffic and write what breaks. Designing for failure is real architecture. If your career roadmap feels obvious ╚ Pitch a project that scares you a little, new stack, tougher SLA, bigger scale. Growth lives one step past comfort.

  • View profile for Steve Suarez®

    Chief Executive Officer | Entrepreneur | Board Member | Senior Advisor McKinsey | Harvard & MIT Alumnus | Ex-HSBC | Ex-Bain

    50,249 followers

    The quantum computing job market is exploding, and the opportunity is wide open for those who act now. If you’re a student thinking About a Career in Quantum Computing, Here’s What’s Actually Out There Step 1: Understand the Education Options   - There are about 90 quantum-focused academic programs in the U.S.   - 61 universities offer dedicated majors, minors, or certificates.   - 43% of programs are interdisciplinary, 27% are in physics, and the rest are spread across engineering, computer science, and chemistry. Step 2: Know the Job Requirements   - 55% of quantum jobs are open to those with a bachelor’s degree.   - 14% require a master’s, and 31% require a PhD.   - Most industry roles don’t require a PhD, but research and academic jobs often do. Step 3: Salary and Demand   - The median salary for quantum professionals in the U.S. is $166,000.   - Entry-level roles typically pay $80,000–$120,000.   - The field is growing, with job postings tripling since 2011, but the total workforce is still small (about 30,000 globally).   - There’s a measurable talent gap: one qualified candidate for every three open positions. Step 4: Program Quality   - Look for programs with real research activity, access to quantum hardware, and industry partnerships.   - Free courses from IBM Qiskit, Microsoft Azure Quantum, and Google Cirq are widely recognized, but not all certificates are valued by employers. California launched a $4 million initiative in 2025 to expand quantum education and workforce training. If you’re considering this field, focus on building a solid foundation in physics, computer science, or engineering, and look for hands-on experience. What questions do you have about quantum careers? Drop them in the comments. Share this post if you think it’s useful.   Follow me for more updates like this.

  • View profile for Adebanjo Israel

    Cloud Engineer | Full-stack Developer | AWS Certified Solutions Architect | IAC | Terraform | AWS CDK | Node.js

    3,255 followers

    Don’t get stuck coding in your software engineer career One of the biggest challenges in a software engineer’s career is learning when and how to grow beyond code. Many engineers enter the field focused entirely on writing syntax, solving algorithmic challenges, and building features. And while these are foundational skills, they’re only the beginning. Yes, code is the entry point. But real career growth comes when you move through the journey: Coding → Development → Software Practices → Software Design → Advanced Tech & Architecture Let me break that down for you Coding You learn syntax. You build features. You fix bugs. This is where we all start and where many choose to stay.But if all you do is write code, you become replaceable by AI easily Development You begin thinking beyond functions and loops. You understand how systems work. You ship products, not just code. You think in terms of impact. Software Practices This is where engineering maturity begins: • Version control • Testing • CI/CD • Documentation • Code reviews You learn to collaborate. To maintain. To improve quality. Software Design Now you’re thinking in patterns, principles, and architecture. You care about scalability, maintainability, and business use cases. You start asking: “Is this the right abstraction?” “How will this scale in 12 months?” You’re not just solving problems — you’re designing systems. Advanced Tech & Architecture At this stage, you’re thinking platform-wide: • Distributed systems • Cloud-native apps • Performance optimization • Security • DevOps You become the one people call when big decisions need to be made. So what’s the point? Don’t stay stuck.Keep growing. Seek knowledge. Build and grow with intention. What’s the next “growth area” you’re focusing on? Other Devs and I can share helpful links or insights to support you.

  • View profile for Jane Frankland MBE
    Jane Frankland MBE Jane Frankland MBE is an Influencer

    Leading Voice in Cyber | The Bridge Between Cybersecurity & the Boardroom | Strategic Partner to the World’s Biggest Brands | Keynote Speaker | Author | 30+ yrs in Cyber | MBE

    53,866 followers

    🚨 We’re not just losing women in tech — we’re losing innovation, and future leadership. BILLIONS of £££s. Thanks to my friend Rav Bumbra for highlighting The Lovelace Report —— which launched at the House of Commons by WeAreTechWomen and Oliver Wyman. 💡 Key insights from the report: • 40,000–60,000 women exit UK tech roles every year • 80% of women in tech are currently considering leaving • 90% want to lead, yet only 1 in 4 believe it’s achievable • Over 70% hold additional qualifications, yet only 14% feel they’re progressing • Replacement and retraining alone costs another £1.4–2.2 billion As someone who has dedicated years to making cybersecurity more inclusive, this report lands with weight — but also with clarity. It’s not women who need fixing. It’s the system. This isn’t a pipeline problem. It’s a systemic failure to retain and progress women in tech — which is costing the UK £2–3.5 billion a year. That number is staggering, but it represents more than financial loss — it reflects lost innovation, stalled careers, and cultures that aren’t serving the people they claim to include. The Lovelace Report lays out a clear and urgent blueprint for change. We must: ✅ Redesign career frameworks to be inclusive by default ✅ Tackle structural barriers to progression ✅ Build cultures where women thrive — not just survive 🔗 Read and share the report: https://lnkd.in/es-235TF Let’s ensure our daughters — and every woman entering tech today — finds not just opportunity, but longevity, leadership, and equity. 📢 Please pass this on to your teams, tech leaders, and HR partners. Progress only happens when we act together. #WomenInTech #TheLovelaceReport #InclusiveLeadership #TechForGood #Cybersecurity #RetentionCrisis #EquityInTech #INSecurityMovement #JaneFrankland

  • View profile for Professor Sue Black OBE FBCS CITP

    Global AI & Digital Transformation Speaker & Advisor | Professor of Computer Science | Helping Leaders Turn AI into Real Impact | OBE | Forbes Global Top 50 Women in Tech

    21,853 followers

    The gender pay gap in tech and research isn’t just a statistic, it’s a signal. The latest UK Research and Innovation gender pay gap report (link in comments below) is a reminder that while we’ve made progress, we’re not there yet. Women are still underrepresented in senior, higher-paid roles, and that imbalance shows up clearly in the numbers. One thing I’ve learned over the years is that talent is everywhere, *opportunity* isn’t. When women are supported into tech careers, when they’re given access, confidence, and networks, they thrive. I’ve seen it time and time again through programmes like TechUPWomen and #techmums, women stepping into roles they never thought possible and absolutely excelling. So what do we do with reports like this? We don’t just read them, we *act* on them. 💃🏽 We create clear pathways into tech for women from all backgrounds 💃🏽 We support progression into leadership, not just entry-level roles 💃🏽 We challenge bias in hiring, promotion, and pay 💃🏽 We build cultures where women are seen, heard, and valued Closing the gender pay gap isn’t just about fairness, although it absolutely is that. It’s about building better, more innovative, more inclusive technology for everyone. And that is definitely something worth working for 🥳 #GenderPayGap #WomenInTech #EDI #Inclusion #TechForGood #Leadership

  • View profile for Susanna Kis

    People & Talent Strategy | Culture & Org Development | ex-IBM | Global Career & Business Coach | DEI | L&D I 5.4M LinkedIn Impressions in 2025

    37,315 followers

    🚨 Layoffs in the Automotive Industry: What Now? 🚨 The German automotive industry and its suppliers are undergoing another wave of layoffs. If you're an international professional affected by this, don’t panic—your skills are still in high demand. You need to adapt and reposition yourself. The good news? Many industries need your expertise. Here’s how you can transition successfully into new sectors: 🔹 Where Can You Go? ✅ Mechanical & Electrical Engineering – Many manufacturers need engineers with automotive experience. ✅ Renewable Energy & Battery Technology – Transfer your skills to energy storage, hydrogen, and electric mobility. ✅ Aerospace & Defense – Companies like Airbus and Rheinmetall need system engineers and quality specialists. ✅ Rail & Transportation – Rail technology is booming with investments in high-speed trains and public transport. ✅ IT & Software Development – If you worked with embedded systems, cloud computing, or AI, tech companies are hiring. ✅ Logistics & Supply Chain – Your experience in supply chain management, lean production, and operations is valuable. ✅ Wind & Solar Energy – Companies need project managers, engineers, and supply chain experts for offshore & onshore wind farms. ✅ E-Mobility & Charging Infrastructure – The EV market is growing, and charging station providers need technical specialists. ✅ Sustainable Manufacturing – Companies are focusing on eco-friendly production, reducing waste, and improving energy efficiency. ✅ Circular Economy & Recycling – Waste management, battery recycling, and sustainable materials are in demand. 🔹 10 Practical Steps to Reposition Yourself 1️⃣ Rebrand Your Resume & LinkedIn Profile – Highlight transferable skills (project management, quality assurance, process optimization). 2️⃣ Learn the Language of Your Target Industry – Adapt your terminology. Instead of "automotive engineering," use "systems engineering" or "industrial technology." 3️⃣ Expand Your Network Beyond Automotive – Attend events in energy, tech, aerospace, and logistics. Follow industry groups on LinkedIn. 4️⃣ Look at Job Descriptions Outside of Automotive – Identify skills you already have that match other sectors. 5️⃣ Upskill & Certify – Consider PMI, Six Sigma, Agile, or AI & data analytics courses. Many are free online. 6️⃣ Talk to Recruiters Specialized in Other Industries – Don’t just rely on automotive headhunters. 7️⃣ Apply for Internal Transfers – If your company has divisions in energy, industrial automation, or aerospace, explore internal mobility. 8️⃣ Consider Consulting & Freelancing – German SMEs (Mittelstand) often need project-based experts. 9️⃣ Leverage Government Support – Use Jobcenter or Agentur für Arbeit for funding and career coaching. 🔟 Stay Mentally Strong & Proactive – Job searches take time, but with the right strategy, you’ll find your next opportunity. 👉 Your experience is valuable. The key is to position yourself correctly and take action now.

  • View profile for Felix Haas

    Design at Lovable, Angel Investor

    97,295 followers

    I generated over 12M LinkedIn views in 6 months. Here’s the simple playbook I followed 🔥 𝟭/ 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘁𝗵𝗲 𝗷𝗼𝘂𝗿𝗻𝗲𝘆: Share what you’re building, learning, breaking, fixing. Be transparent. People trust founders who build in public. 𝟮/ 𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝗯𝗿𝗮𝗻𝗱: People follow people, not logos. Talk about your product decisions, your vision, your hot takes. One strong founder brand beats ten agency videos. 𝟯/ 𝗣𝗼𝘀𝘁 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁𝗹𝘆 (𝟯 𝘁𝗼 𝟱 𝘁𝗶𝗺𝗲𝘀 𝗽𝗲𝗿 𝘄𝗲𝗲𝗸) You don’t need animations or high production. You need consistency. Written posts are enough to blow up your reach. 𝟰/ 𝗛𝗮𝘃𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝗿𝘂𝗻 𝘆𝗼𝘂𝗿 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗲𝗻𝗴𝗶𝗻𝗲 One person should own everything: • ideas • drafts • editing your voice • posting • repurposing • community replies That’s how you stay consistent. Henrik is our rockstar here! 𝟱/ 𝗨𝘀𝗲 𝗮 𝘀𝗶𝗺𝗽𝗹𝗲 𝘄𝗲𝗲𝗸𝗹𝘆 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗹𝗼𝗼𝗽 • Monday: a learning • Wednesday: a story • Friday: an opinion Do this for 30 days and watch your impressions double. 𝟲/ 𝗦𝘁𝗼𝗽 𝘄𝗮𝗶𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗽𝗲𝗿𝗳𝗲𝗰𝘁 Most founders think too much and publish too little. Hit post. Improve next time. Keep it simple. 𝟳/ 𝗧𝗵𝗶𝗻𝗸 𝗶𝗻 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝘀𝘀𝗲𝘁𝘀, 𝗻𝗼𝘁 𝗽𝗼𝘀𝘁𝘀 Your company already produces 100 pieces of content a week. Slack threads. Investor updates. Customer calls. Prototype videos. Turn all of it into content. 𝟴/ 𝗨𝘀𝗲 𝘃𝗶𝗱𝗲𝗼, 𝗯𝘂𝘁 𝗸𝗲𝗲𝗽 𝗶𝘁 𝗿𝗮𝘄 Short, authentic screen recordings beat polished motion design every day. I use ScreenStudio for almost everything. 𝟵/ 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗲 𝗶𝗻 𝗽𝘂𝗯𝗹𝗶𝗰 Tag people. Share wins. Share experiments. Bring your audience into the process. Community is a growth engine. 𝟭𝟬/ 𝗣𝗹𝗮𝘆 𝘁𝗵𝗲 𝗹𝗼𝗻𝗴 𝗴𝗮𝗺𝗲 You need 60 to 90 days before the compounding kicks in. But when it does, you unlock a crazy founder advantage: distribution! Having an audience is the ultimate moat. Follow these steps and start building your brand.

  • View profile for Dr Milan Milanović

    Chief Roadblock Remover and Learning Enabler | Helping 400K+ engineers and leaders grow through better software, teams & careers | Author of Laws of Software Engineering | Leadership & Career Coach

    272,785 followers

    𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗝𝗼𝗯𝘀 𝗔𝗿𝗲 𝗚𝗼𝗻𝗲. 𝗪𝗵𝗮𝘁'𝘀 𝗬𝗼𝘂𝗿 𝗣𝗹𝗮𝗻? The software engineering job market has transformed dramatically since its 2022 peak, with positions down 150%. Starting in late 2022, layoffs hit tech hard. Hiring slowed, and many junior and mid-level roles disappeared. Even experienced engineers felt the pressure. 𝗛𝗶𝗴𝗵𝗲𝗿 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁 𝗿𝗮𝘁𝗲𝘀 𝗵𝗮𝘃𝗲 𝗳𝗼𝗿𝗰𝗲𝗱 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝘁𝗼 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗲 𝗽𝗿𝗼𝗳𝗶𝘁 𝗼𝘃𝗲𝗿 𝗴𝗿𝗼𝘄𝘁𝗵. Also, AI forces us to learn new skills, while non-AI companies face tighter funding and stagnant compensation. Meta's recent message with layoffs was clear: "These were our lowest performers, good riddance." Companies now 𝘃𝗮𝗹𝘂𝗲 𝘀𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗮𝗻𝗱 𝗽𝗮𝗰𝗲 𝗼𝘃𝗲𝗿 𝘁𝗲𝗮𝗺-𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴. The era of being treated as "special little geniuses" with unlimited perks is over. How we can adapt as an engineer in 2025: 🔹 𝗗𝗼𝗻’𝘁 𝗷𝘂𝘀𝘁 𝗰𝗼𝗱𝗲—𝘀𝗼𝗹𝘃𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀: Learn product thinking and business impact. 🔹 𝗔𝗹𝗶𝗴𝗻 𝘄𝗶𝘁𝗵 𝗲𝘅𝗽𝗹𝗶𝗰𝗶𝘁 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀: Focus on the 2-3 initiatives your leadership cares about, not what engineers find interesting 🔹 𝗗𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗲 𝗶𝗺𝗽𝗮𝗰𝘁 𝗼𝗻 𝗿𝗲𝘃𝗲𝗻𝘂𝗲: Tie your work directly to business metrics; vague "developer experience" improvements won't save you in layoffs 🔹 𝗠𝗮𝘀𝘁𝗲𝗿 𝗔𝗜-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Learn prompt engineering and use tools like GitHub Copilot, ChatGPT, and Cody to multiply productivity. Be a master of vibe coding. 🔹 𝗖𝘂𝘁 𝘆𝗼𝘂𝗿 𝗽𝗲𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗶𝗿𝘀𝘁: If you don't proactively abandon low-priority work, decisions will be made for you 🔹 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲 𝗶𝗻 𝗺𝗼𝗿𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀, such as distributed systems, performance, infrastructure, security, and data engineering. These are difficult to automate and outsource. 🔹 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘆𝗼𝘂𝗿 𝘄𝗶𝗻𝘀: Create visibility for your contributions with weekly accomplishment emails to leadership 🔹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹𝗹𝘆 𝗯𝗲𝗳𝗼𝗿𝗲 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹𝗹𝘆: Build relationships with high-performers in revenue-generating teams. This is probably the most important thing you can do. I've had several conversations with talented senior engineers struggling to find work for months. 𝗧𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁 𝗵𝗮𝘀 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝗰𝗵𝗮𝗻𝗴𝗲𝗱. If you have a stable job, please keep it and make yourself valuable. The engineers who will survive aren't the ones with the latest tech skills—they're the ones who will add value to their companies in 2025. Image: Visual Capitalist. #technology #softwareenginering #programming #coding #career

  • View profile for Paakhhi G.

    Data Privacy Consultant & Trainer | GDPR |DPDPA| DPO Track | Compliance & Risk Management

    12,531 followers

    𝐈 𝐥𝐞𝐟𝐭 𝐚 𝐁𝐢𝐠 4 𝐟𝐢𝐫𝐦 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐜𝐚𝐫𝐞𝐞𝐫 𝐢𝐧 𝐝𝐚𝐭𝐚 𝐩𝐫𝐢𝐯𝐚𝐜𝐲. No tech degree. No prior compliance experience. No contacts in the privacy industry. 𝑻𝒉𝒊𝒔 𝒊𝒔 𝒕𝒉𝒆 𝒆𝒙𝒂𝒄𝒕 6-𝒔𝒕𝒆𝒑 𝒑𝒂𝒕𝒉 𝑰 𝒘𝒐𝒖𝒍𝒅 𝒓𝒆𝒑𝒆𝒂𝒕 & 1 𝒔𝒕𝒆𝒑 𝑰 𝒘𝒐𝒖𝒍𝒅 𝒔𝒌𝒊𝒑. 𝐒𝐭𝐞𝐩 1: 𝐒𝐭𝐨𝐩𝐩𝐞𝐝 𝐰𝐚𝐢𝐭𝐢𝐧𝐠 𝐭𝐨 𝐟𝐞𝐞𝐥 "𝐫𝐞𝐚𝐝𝐲."  I kept telling myself I needed to understand more technology before I could work in data privacy. I was wrong. I started engaging with the GDPR framework as a legal instrument — reading it the way I would read any statute. The technical fluency came through the work, not before it. 𝐒𝐭𝐞𝐩 2: 𝐅𝐨𝐮𝐧𝐝 𝐭𝐡𝐞 𝐩𝐫𝐚𝐜𝐭𝐢𝐭𝐢𝐨𝐧𝐞𝐫𝐬, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐭𝐡𝐞 𝐜𝐨𝐮𝐫𝐬𝐞𝐬.  I sought out people who were actually doing the work — not just teaching it. Following practitioners on LinkedIn, reading their analysis of real cases, and asking questions in professional forums taught me more about how privacy work actually runs than any single certification. 𝐒𝐭𝐞𝐩 3: 𝐃𝐢𝐝 𝐭𝐡𝐞 𝐝𝐫𝐚𝐟𝐭𝐢𝐧𝐠 𝐛𝐞𝐟𝐨𝐫𝐞 𝐚𝐧𝐲𝐨𝐧𝐞 𝐚𝐬𝐤𝐞𝐝 𝐦𝐞 𝐭𝐨.  I started writing privacy notices, DSAR response templates, and DPA clauses for hypothetical scenarios — without a client, without a job, without anyone grading me. When interviews came, I had actual work to show. Not a certificate. 𝐒𝐭𝐞𝐩 4: 𝐏𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐞𝐝 𝐦𝐲𝐬𝐞𝐥𝐟 𝐚𝐬 𝐚 𝐛𝐫𝐢𝐝𝐠𝐞, 𝐧𝐨𝐭 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 𝐟𝐫𝐨𝐦 𝐝𝐚𝐲 𝐨𝐧𝐞.  Privacy professionals who grow fastest are the ones who can communicate risk to non-lawyers. I spent time learning how to translate legal obligations into language that a CFO or CTO would act on. This skill got me in more rooms faster than any credential. 𝐒𝐭𝐞𝐩 5: 𝐓𝐨𝐨𝐤 𝐭𝐡𝐞 𝐟𝐨𝐫𝐦𝐚𝐥 𝐜𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥 𝐚𝐭 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐦𝐨𝐦𝐞𝐧𝐭.  Certification mattered — but not at the beginning. I pursued formal training after I had enough context to ask the right questions in the room. It deepened what I already knew, rather than trying to build knowledge from scratch. 𝐒𝐭𝐞𝐩 6: 𝐁𝐮𝐢𝐥𝐭 𝐢𝐧 𝐩𝐮𝐛𝐥𝐢𝐜.  I started writing about what I was learning. Sharing analysis, asking questions, taking positions on regulatory developments. This created visibility that no application could have created. Opportunities came inbound before I was even actively looking. 𝑻𝒉𝒆 𝒔𝒕𝒆𝒑 𝑰 𝒘𝒐𝒖𝒍𝒅 𝒔𝒌𝒊𝒑: ❌ Watching instead of doing. ❌ Spending 6 months "preparing to prepare." ❌ Reading about privacy law instead of reading privacy law. The career is available to you right now — exactly as you are. The only entry requirement is the decision to start. Where are you in your transition journey? Tell me in the comments — I read every single one or DM me! _______________________________________ → World Cyber Security Forum (WCSF)® programmes offer internships with proper practical training — the bridges I had to find manually. Link in comments.

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