Data Consulting Partner

4 weeks ago


Edison, United States ClifyX Full time

Title: Data Consulting Partner
Location:
1. Edison, NJ
2. Philadelphia, PA
3. Dallas, TX
4. Bay area
5. Tampa, FL
Experience: 15+ years of experience
Education: Bachelor's degree
Base Salary: $180K- $200K based on experience

Job Description:

Lead holistic growth and transformation for Data, through consulting that enables new growth opportunities proactively (i.e., Demand Creation) as well as expand existing business (i.e., Demand Capture) for strategic large customers across the globe.

Desired Skills:

The candidate would work in an engaging environment at the intersection of business and technology, at both strategic and operational level. Along with technical skills, we are also looking for candidates who can approach the Data discipline in new and creative ways and who are open and passionate about exploring new technologies to improve the overall platform and environment.

Associate will need to have a strong background in architecting solutions for different Data platforms, delivering end-to-end data-based solution from proposal/transformation roadmap/migration approach and design through to proof-of-concept and delivery. Should have led engagements and major technology consulting and Data transformation programs across one or more industry sectors.

Minimum 18+ years relevant professional Advisory/Consulting experience with at least 15+ years across the data value chain - data engineering, data governance, data security, data quality, data analytics & insights
• Extensive experience across leading data platforms & frameworks (commercial, open source, hyperscalers based)
• Good domain knowledge across Telecom, Media, Technology industry verticals with profound understanding of the industry trends
• Good communication, ability to create and present to CXO/ Leadership teams
• Thought leadership and transformation mindset to drive growth objectives with good collaboration across multiple teams.
• Proactive and open to contribute across emerging technologies and trends
• White papers, Blogs, industry events publication are an added advantage
• Flexibility to work with diverse TCS teams in various service lines, across multiple time zones.

Description of Responsibilities:
• Front end with CXO stakeholders and leadership to develop mindshare and drive growth & transformation opportunities, engagements
• Analyze enterprise wide data roadmap, create data strategy across multiple dimensions and present POVs
• Translate business problems into solutions by combining industry knowledge, offerings and contextual knowledge to support business & IT needs
• Liaise with external vendors / alliances to evaluate offerings available with them and customize them to create a new offering that meets customer's requirements.
• Enable market research, competitor analysis, Whitespacing discussions & industry trends intelligence to shape up business planning & opportunities
• Drive Advisory / Consulting for proactive / reactive opportunities and support RFPs/RFIs
• Drive workshops and execute consulting engagements
• Provide leadership and guidance to evangelize industry knowledge, assets, and artefacts across teams.

Qualifications:

Minimum 18+ years relevant professional Advisory/Consulting experience with atleast 15+ years across the data value chain - data engineering, data governance, data security, data quality, data analytics & insights
• Extensive experience across leading data platforms & frameworks (commercial, open source, hyperscalers based)
• Good domain knowledge across Telecom, Media, Technology industry verticals with profound understanding of the industry trends
• Good communication, ability to create and present to CXO/ Leadership teams
• Thought leadership and transformation mindset to drive growth objectives with good collaboration across multiple teams.
• Proactive and open to contribute across emerging technologies and trends
• White papers, Blogs, industry events publication are an added advantage
• Flexibility to work with diverse TCS teams in various service lines, across multiple time zones



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