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Job Location: Bengaluru
Job Title: Senior IT Manager – Data Science and Analytics
Location: Bangalore
ABOUT UNILEVER:
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.
Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.
At HUL, we believe that every individual irrespective of their race, colour, religion, gender, sexual orientation, gender identity or expression, age, nationality, caste, disability or marital status can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes; use your energy to make the world a better place. As you work to make a real impact on the business and the world, we’ll work to help you become a better you!
Background
R&D’s vision is to Innovate Boldly for People and Planet, underpinning our purpose and sustainability goals – and driving profitable growth through our Business groups. In order to achieve this vision, the RDLT has identified the Digital Transformation as a strategic enabler thus a multi-year program leading up to the desired digitally transformed end-state of R&D has been created and is to be implemented.
This desired R&D digital transformation will require a streamlining of the development & deployment processes that deliver data analytics, simulation, optimization & compliance models/tools & visualizations. R&D has already experienced a significant uptake of the first generation of these models/tools and virtual simulations, which have provided clear proof of the value our people can create from combining digital technology, data and advanced modelling capabilities to increase speed, efficiency, quality and impact of our innovations. In addition, there is a growing opportunity to integrate some of these digital technologies into consumer-facing propositions to deliver value beyond the physical product and thereby enhance the overall consumer experience.
In order to deliver this vision we need to step up our ambition in Technology, Data and Talent as the 3 Digital Enablers that will drive our priorities and investments:
Technology: IT systems, digital tools and analytical models used to create more efficient & effective ways of working; facilitating innovation opportunities by codifying scientific & engineering knowledge into algorithms for reformulations, claims substantiation, process optimisation, etc. Data: Product, Process and Consumer related data generated internally, or harnessed from external sources, required to deliver faster and bigger innovation. Talent: New R&D skills around data science, modelling, advanced analytics and simulation, as well as digital consumer propositions and business models.
This transformation will require a new culture of ‘digital first’ to realise the vision of Science = Digital Technology. Standardising processes that do not create differentiation will be critical to reduce complexity and drive ROI from Digital investments. The R&D Leadership will be instrumental at shaping this new mindset, setting clear expectations, reskilling teams and ultimately ‘own’ this transformation.
Key Accountabilities
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Ensure Platform for Data Scientist (Datalab) is future fit from Technology stack perspective.
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Manage a team consisting of a mix of internal and Third Party delivery partners to deliver Data Science and analytics projects using agile project delivery methods.
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Ensure that all work conform to Unilever Standards as set out by various teams with regard to Technology and security considerations.
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Work Closely with Digital R&D Product Owners on implementing prioritized Digital transformation Programs with right technical and security framework
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Liaise with vendor Partners to Design and implement Solution in alignment with R&D IT Strategy also liaise with technology Providers like Microsoft to ensure Platform is compliant and future ready in terms of ever evolving Technology landcape.
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Working with Enterprise IT architects and APG to select the design apt solutions for business problems
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Governance on the incident management, User Review , Audit Compliance.
Essential skills:
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Strong technical Acumen: An understanding of Data Science and Data Engineering Concepts is must
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Knowledge of Azure Machine learning , Databricks is desirable .
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Favourable experience of Application Lifecycle including awareness of SDLC.
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Understanding of cloud hosted architecture (preferably Azure)
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Focus on IT Quality and delivery to meet business requirements
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Experience of managing projects: Tasks, Risks and Stakeholder management skills
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Good interpersonal skills and communication with all levels of management. Proven ability to impact and influence customers and stakeholders.
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Self-motivated: able to multitask, prioritize, and manage time efficiently
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Vendor Management:
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Participate in functional and technical design reviews (QA process) with strategic IT suppliers and/or other 3rd parties when/where appropriate
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Hold vendors accountable for quality and timeliness of deliveries through governance mechanisms
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Ensure adequate knowledge sharing and retention through documentation
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Manage multiple vendor teams of large sizes
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Build Talent and Teams
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Driving and motivating the team to provide quality deliverables
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Upskilling and cross training the team to build the right skillset
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Ensure adequate knowledge sharing and skillset retention
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Desirable skills:
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Agile Development process experience (Kanban/Scrum)
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Knowledge of Container technology in particular Docker , AKS , Kubernetes
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Agile project management tools experience: Azure DevOps, JIRA etc.
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Knowledge in emerging Data Science trends and technology
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Financial Management of IT projects
Key Interactions with:
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Vendor partner leadership and extended team
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Business (R&D) managers and leadership team
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Unilever Internal teams – Enterprise Architect, Cyber Security, Technology Services, IT Finance
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R&D Platform leads
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