
Job Description:
Skill: Data Strategy - Data Governance
Experience: 3 - 6 yrs
Location: Hyderabad, Bengaluru, Chennai, Pune, Gurugram, Mumbai
Hybrid work: 2 - 3 days work from office
Education: MBA, Mtech, MS (Tier 1 / Tier 2 Colleges Only)
Required Experience and Skills:
Enterprise Technology and Transformation Strategy (Data Strategy):
Candidates are required to have at least one full project experience on either one or more of the following areas of Data Strategy:
- Enterprise Data Management: Strong understanding of data management process across the data lifecycle (MDM, ingestion, storage, transformation) with experience in evaluating the client's data landscape and architecture to identify opportunities for improvement.
- Data Ambition - Value Realization: Having a long track record of delivering data / analytics / AI related change at an enterprise level in a particular industry or sector and helping shape a value creation story specific to the client competing in a particular market.
- Data Platform - Architecture Design: Knowledge of data and AI platforms and architecture frameworks.
- Data Operating Model Design: Having a strong understanding of data and AI capabilities, and the ability to design operating model clearly defining roles, responsibilities, and RACI for the data organization.
- Data Governance Strategy: Assessing current data and AI governance practices and maturity within client organizations, having the ability to define and implement data governance strategies and frameworks for organizations.
- Strong understanding of data, analytics, and AI technology stack and infrastructure with exposure to new age technologies such as Generative AI.
- Ability to articulate leading business issues and trends including the associated technology and data implications within one or more industries.
- Demonstrate application of business acumen while leveraging data and analytics.
- One life cycle project execution experience in recommending and/or implementing data strategy and solutions for improving business outcomes.
- Experience of being a data Product Owner and responsible for delivering product model and communicating the product needs with business partners.
- Exposure to working with non-India Geographies (preferably the US) and / or interacting with Global stakeholders.
Core Consulting:
- Clear and concise communication - conduct client interviews, participate in workshops/trainings and present recommendations.
- Good client presence - interact and build relationships with clients and other team members.
- Analytical thinking - ability to perform detailed, quantitative analysis and research (primary and secondary).
- Synthesize and present insights and recommendations from data.
- Logical structuring - structured approach to problem solving and ability to perform root cause analysis of client problems.
- Deadline-oriented and quality focused - develop and own development of deliverables.
- Own and manage specific work-thread, develop plans for components of engagement, manage and mentor junior resources.
- Collaboration - Be able to work both independently and as part of a team with professionals at all levels.
- Be able to prioritize tasks, manage change in scope, work on multiple assignments, and raise concerns/questions where appropriate.
- Networking - Ability to chart one's own career and build networks within the organization.
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