Experience: 6+ years in Service Design
Work Location: Bangalore
About the role
You’ll join our strategy and design team to work on an with a global enterprise technology company. The client wants to make its customer-facing learning teams better prepared, more efficient and more personal, and to find where automation and AI help most without losing the human relationship.
You’ll lead the service design workstream. You’ll map how work happens today across the field team, the specialist advisors and the back-office fulfilment operations. Then you’ll turn that evidence into a front-to-back service blueprint and a prioritised set of automation opportunities.
What you’ll do
- Lead the creation of a front-to-back service blueprint with customer, field, advisor and operations lanes. It will show handoffs, systems, pain points and time sinks.
- Plan and run stakeholder interviews and pull out clear themes.
- Design and facilitate a hybrid vision and goal-setting workshops, including futures exercises and a goal tree that links business goals to user outcomes and measurable signals.
- Contribute to competitor and analogous benchmarking across direct peers and adjacent tools such as customer success, sales enablement and service orchestration platforms.
- Shape a human–AI collaboration model: what to automate, what to augment, and what must stay human-led.
- Map the journey from preparing for a customer through to tracking outcomes, and spot where earlier signals would change decisions.
- Present findings and recommendations to senior client stakeholders at three readouts (vision workshop, discover readout, final readout).
- Work closely with researchers, strategists and designers, and keep a fast pace across projects
What you’ll bring
Essential
- 6+ years of professional experience in service design, with a portfolio showing end-to-end work.
- Proven experience producing service blueprints and journey maps for complex, multi-stakeholder, B2B or enterprise contexts.
- Strong qualitative research skills: interviewing, synthesis and insight framing.
- Experience facilitating workshops with senior stakeholders, in person and remote.
- Ability to find insight in operational complexity: handoffs, rework, internal tools and process bottlenecks.
- Clear storytelling and communication, both written and visual. You can turn messy evidence into a clear recommendation.
- Comfort working to tight deadlines and fixed deliverable dates.
Desirable
- Experience designing for AI or automation, including human-in-the-loop models, trust and governance.
- Experience with prioritisation frameworks such as impact/feasibility matrices.
- Tools: Figma, FigJam, Miro or similar; Dovetail or similar for synthesis.
How you’ll work
- You’ll own the blueprint and the opportunity matrix, and contribute to the rest.
- You’ll be a visible part of the client relationship, presenting to senior stakeholders.
- You’ll work in a collaborative, evidence-first culture. Recommendations come from observed work, not assumptions.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
