What will youdo

• Lead in the planning, design, development, testing, implementation, documentation, and support of dataand AI products

• Partner with business stakeholders in translating business requirements (functional and non-functional)into data and AI products

• Builds the infrastructurerequiredfor optimalextraction, transformation, and loading of data from a wide variety of data sources.

• Provide direction on technical designs and ensure alignment with standards and roadmaps

• Providetechnicaldirection and guidance tojunior and intermediate developers

• Identify, track, and perform regression testing on defects found

• Identifies, designs, and implements internal process improvements: automating manual processes,optimizingdata delivery, re-designing infrastructure for greater scalability.

• Accelerate development by building frameworks, automation scripts, and reusable code

• Strengthen development capability via mentoring, knowledge sharing, and building communities of practice

• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

What do you need to succeed

Must have

• 15+ years of relevant experience and IT education and/or certification(s)

• Hands on experiencewith extract, transform, load for various sources and downstream consumption, ability to write code and guide other team members in writing complex transformations

• Hands on experience insolution architecture,data modelling, designing complex systems to support large scale transformations, hands with data mining & analysis for existingand new data warehouses on-prem and cloud

• Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging

• Experience with AI concepts,GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools inSDLC,etc...

• Hands on experience with SSIS, Glue, cloudstorageand computing services (e.g.AWS, Azure), Hadoop, Netezza,Apache Airflowor similartools

• Experiencewith structured, semistructuredand unstructured datasetsin batch and streaming

• Experience with data analysis, datamappingand data profiling

• Hands on experience with DevOps methodologies, including CI/CD pipelines and infrastructure as code.

• Experience in handling process improvements using automation, re-modelling, modernization, re-design or update design, solution foroptimalandcost efficientneeds

• Experienced in guiding the team to code, develop, unit testing and QA new/existing pipelines, automatedsolutionsand ability to structurenew solutionswith minimal requirements provided yetseek forclarifications as needed.

• Experience with spear heading discussions with counterparts, stakeholders, business, architecture teams,operationsand other engineering teams.

• Experience in Agile delivery, including usage of JIRA

• Experience in defining software engineering standards and best practices

• Experience in largeenterprise setting

• Experience interacting with senior leaders

• Experienceworkinginhighly regulated industries