Job Information

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    Salary Up to £50000 /

Job Description

Job Description:

·         Drive customer conversation around Business Transformation and Business Analysis including Automation

o   Analyze & assess business process simplification opportunities

o   Understand the business value of automation in the customer context

o   Assist in developing a best fit improvement strategy for the customer whether it be organization wide automation adoption or specific technology/tool implementation

o   Provide recommendations & actionable roadmap for business value realization

o   Drive design and roadmap creation for successful delivery and adoption of transformation

o   Leverage Analytics, ML, Cognitive or RPA tools to develop quick prototypes to showcase benefits of process simplification & automation

o   Leading requirement gathering in a multi-vendor environment, creating functional specification, liaising with technical team to explain the requirements and participate in UAT

·         Deliver automation advisory & business transformation services in the client context

o   Closely work with cross functional Customer and Wipro teams to deliver business / process transformation & automation engagements

o   Identify data driven insights to create problem statement, solution hypothesis and business case for simplification and automation implementation.

o   Perform assessment for Automation potential identification. Identify requirements for process simplification, harmonization and re-design activities.

o   Provide best practice knowledge to the technical teams during implementation.

·         Thought leadership

o   Continuously develop point of views and insights around Automation & Business transformation areas.

o   Ideate and develop re-usable frameworks and assets / catalysts for business analysis and transformation

·         Business Development

o   Participate in presales activities by leading and supporting RFP responses

o   Proactively identifying opportunities and taking it to closure

·         Understanding and experience in working with various data sources including quantitative as well as qualitative aspects, effective blending of Outside-in perspective w.r.t. best practices with Inside-out insights and analysis specific to the client business context

Desired Skills & Experience

•       Engineering degree (BE/BTech in Information Systems, Computer Sciences or Electronics & Communication or related technical discipline or equivalent,) MBA or Equivalent Degree (preferred)

•       Experience of working with Manufacturing & Technology vertical and knowledge of associated processes and latest trends like Industry 4.0, digital twins, IoT etc.

•       Experience of leading client conversations in consultative capacity

•       Experience in a Business Analysis role and in business analysis methods/techniques

•       Experience working in Agile as well as waterfall methodologies

•       Experience in process analysis, assessment, simplification & re-engineering methodology

•       Experience of applying advanced analytics/visualization tools and techniques to identify business value and process insights

•       Experience of working with Automation tools and technology

•       Knowledge of any agile tools like JIRA, Azure Devops etc.

•       Good-experience with at-least one: AI implementation tools, RPA implementation tools (Blue Prism, Automation Anywhere, UiPath etc.)

•       Decomposing problem statement and define the solution approach, generate what-if analysis

•       Ability to relate the outcomes/Financial data to the process analysis and variances and relate it with various data dimensions or variables

•       Good understanding of business process improvement techniques like Process Mining, Six Sigma, Lean

  • Knowledge of BPM and Process Mining concepts are required. Certification / experience tools such as Aris, Casewise, Signavio, Celonis will be preferred
  • Lean Six Sigma certification preferred

•       Knowledge and delivery experience in a Manufacturing & Technical vertical and understanding of enterprise systems like ERP and exposure to Business architecture linkage to technology components

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