Faizan Ahmad Khan, CIWFM, CMRP, CRCMP — Operations Associate

I am a reliability and maintenance leader with 18+ years of experience improving asset performance across asset-intensive and high-dependency environments in the UK, Middle East, and Scandinavia. I specialise in RAM modelling, RBD, FMECA, FTA, condition monitoring, predictive maintenance, and large-scale asset optimisation with a strong focus on safety, uptime, and sustainability. My early foundation came from a Masters in RAMS Engineering at NTNU, working with NOWITECH on wind turbine degradation modelling and visiting high-reliability sites like Norsk Hydro and Statoil (Equinor). These early experiences deepened my understanding of how engineering, sustainability, and human systems must align, a mindset I have carried throughout my career. Over the years, I have led FMECA, FTA, and RAM studies across wind energy, oil & gas, utilities, and manufacturing, progressing into leadership roles managing condition monitoring strategies, CMS upgrades, and capability building. I have delivered technical training globally (UK, USA, Germany, Singapore), supporting cross-regional teams and embedding reliability practices across operations including during the FEED/design stage to ensure early integration of reliability principles. I have successfully transitioned CMS platforms from legacy systems to Emerson and Bently Nevada, integrating IoT-enabled sensors with SCADA and CMMS. I have applied advanced diagnostics like vibration analysis, thermography, LRUT, and AET to reduce failures and increase equipment availability. My work is guided by international standards including ISO 14224, ISO 55000, and IEC 61508 standards, with a KPI-driven approach (MTBF, OEE, failure rates, CMS coverage) to support strategic maintenance planning. I am passionate about moving teams from reactive to predictive and from short-term fixes to long-term performance, while keeping safety, data, and innovation at the core. Let’s connect if you are interested in the future of industrial maintenance, condition monitoring, or building reliability into the DNA of operations.

Stackforce AI infers this person is a Reliability and Maintenance Engineering expert in asset-intensive industries.

Location: London, United Kingdom

Experience: 15 yrs 5 mos