Data Strategy Consultant - Data Governance - Consulting

Job location: [{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Gurgaon/Gurugram","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chennai","addressCountry":"IN"}},{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mumbai","addressCountry":"IN"}}] Work arrangement: Employment type: FULL_TIME Salary: "" Experience requirements: {"monthsOfExperience":36,"educational":{"credentialCategory":"bachelor degree"}} Education requirements: "" 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.