Temus - Consulting, Senior Associate
Requirements
• Strong learning agility, curiosity, and systems thinking • Outcome orientation with a track record of measurable impact • Comfort structuring ambiguity into actionable work independently • Strong communication, storytelling, and stakeholder facilitation skills • Demonstrated experience in transformation, operating model design, and/or organisational change • Strong structured problem-solving ability • Ability to engage and influence business and technology stakeholders • Solid familiarity with AI concepts and their organisational implications • A bias toward action, learning, and continuous improvement • AI Tool Fluency • Confident using AI tools as part of daily work (analysis, synthesis, documentation, prototyping) • Able to design workflows integrating human and AI decision-making • Comfortable engaging technical teams on AI capabilities and constraints • Able to evaluate where AI changes speed, scale, personalisation, or economics • 3–6 years of experience in consulting, transformation, product, delivery, or change roles • Familiarity with modern delivery methods (agile, iterative delivery, design thinking), digital platforms, and AI-enabled workflows preferred • Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity. • We see the diversity of our team as a strategic advantage, and we work actively to maintain it. • By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/
Responsibilities
• 1) Frame Problems & Define Value • Structure ambiguous client challenges into clear objectives and hypotheses • Identify and shape opportunities for transformation, including workforce and workflow redesign in the AI-led era • Define measurable outcomes, success metrics, and value hypotheses • Synthesise insights from workshops, research, and data into client-ready recommendations • 2) Design & Prototype Solutions • Facilitate workshops and co-creation sessions with client stakeholders across levels • Develop process flows, journey maps, and solution concepts with minimal oversight • Rapidly prototype workflows, experiences, or service improvements to validate ideas early • Use AI tools audaciously to accelerate design exploration, iteration, and documentation • 3) Enable & Deliver • Translate business needs into implementable requirements and delivery plans • Work directly with engineering, data, and platform teams to ensure feasibility • Own delivery outcomes through agile sprints and iterative releases • Use AI tools to improve delivery speed, quality, and decision-making across the team • 4) Drive Adoption & Change • Lead stakeholder engagement, communications, and training efforts • Design adoption plans and readiness activities • Help clients build capability and embed new ways of working • Guide clients in adopting responsible AI practices, including governance and change readiness • Ensure solutions are sustainably embedded into day-to-day operations • 5) Build Capability & Improve Delivery • Create and refine reusable templates, playbooks, and accelerators • Stay current with emerging tools and methods, applying them pragmatically to client outcomes • Coach junior peers in modern delivery practices and tech-enabled ways of working
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