Data Strategy Consultant

Responsibilities:

• Client Collaboration & Strategy Development:

  Work closely with clients to develop, design, build, and implement comprehensive data strategies aimed at significantly enhancing their business performance.

• Data & Analytics Strategy Definition:

  Define and develop overall data and analytics strategies, focusing on achieving actionable business outcomes. This includes emphasis on advanced analytics, robust data platforms & architecture, generation of data-driven business insights, and effective information management.

• Executive & Team Collaboration:

  Collaborate extensively with client CIOs, VPs, and data & AI team members to facilitate the creation of information-driven, corporate-wide data platforms. The goal is to accelerate the rapid evaluation and implementation of various analytical use cases.

• As-Is & To-Be Assessment:

  Conduct thorough assessments of existing (as-is) business processes. Subsequently, propose strategic improvements and define target data and application blueprints necessary to enable the client to evolve into a truly data-driven organization.

• Business Case Formulation & Client Interaction:

  Articulate and formulate creative and compelling business cases for data initiatives. Interact extensively with client teams through interviews, present findings clearly, and discuss strategic recommendations to gain alignment and buy-in.

• Problem Solving & Solutioning:

  Identify complex business challenges that can be addressed through data-driven solutions and develop innovative approaches.

• Market Trend Awareness:

  Stay abreast of the latest trends and technologies in data, analytics, and artificial intelligence to provide cutting-edge advice to clients.

Required Skills:

• Proven experience in developing, designing, building, and implementing data strategies for clients.
• Ability to define overall data & analytics strategy with a focus on actionable business outcomes.
• Expertise in advanced analytics, data platforms & architecture, data-driven business insights, and information management.
• Strong collaboration skills, particularly with senior client stakeholders (CIOs, VPs) and data & AI teams.
• Experience in conducting assessments of as-is business processes and proposing improvements, defining target data and application blueprints.
• Ability to articulate and formulate creative business cases.
• Proficiency in conducting client interviews, discussing findings, and presenting recommendations.
• Excellent communication (verbal and written), presentation, and interpersonal skills.
• Strong analytical and problem-solving abilities.