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Company Overview: This multinational professional services network is a global leader in assurance, consulting, strategy and transactions, and tax services. The firm operates in over 150 countries and employs a diverse workforce of over 300,000 people.
Engagement Manager (Sales), Senior Manager, Technology Consulting, Data & Analytics
Responsibilities:
Sales & Business Development:
Engage with senior client management to translate their business strategy and requirements into data and analytics solutions and services.
Develop strategic visions for data and analytics within the client context.
Collaborate with solution architects and other subject matter experts to develop implementation roadmaps and architecture blueprints.
Build and maintain strong client relationships while effectively communicating the company’s unique data and analytics offerings.
Collaborate with internal teams and external partners to develop comprehensive solutions that address client needs.
Conduct detailed analyses of client requirements and technical environments to create high-level solution designs.
Take ownership of developing compelling commercial proposals (RFP responses, proactive proposals) to address specific client needs.
Analyze market trends and client demands to anticipate and drive relevant internal asset and accelerator development initiatives.
People Management:
Conduct performance reviews and provide constructive feedback to team members.
Contribute to people-related initiatives, including recruitment and retention strategies.
Guide and develop the technical and functional skills of team members.
Requirements:
Education & Experience:
Bachelor’s degree or higher in Computer Science, Information Systems Management, or a related field.
10-12 years of experience in data and analytics projects (data and analytics strategy, data warehousing, data analytics, business intelligence, and machine learning).
6-8 years of consulting experience working with third-party clients in a pre-sales or sales role.
Experience in at least one of the following industries or domains: Government and Public Services, Logistics, Manufacturing, Supply Chain, Financial Services, Retail, or Consumer Products.
Proven ability to build and cultivate strong relationships with C-level executives.
Deep understanding of data analytics principles and the business challenges associated with implementing data analytics solutions.
Skills:
Ability to explain complex analytics methodologies, technologies, and architectural principles to non-technical audiences.
Strong analytical and problem-solving skills to effectively evaluate and compare different architecture options, tools, technologies, and platforms.
Exceptional written and verbal communication and presentation skills with the ability to deliver polished and professional presentations to C-suite and board-level executives.
Proven track record of public speaking engagements at conferences, seminars, and industry events (advantageous).
Relevant certifications in data analytics tools and environments (big data technologies, cloud certifications, data integration, data management, or visualization tools) (advantageous).
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