Data Specialist

Key Responsibilities · Strategic Offering Leadership o Lead the definition, creation, and evolution of data-driven offerings across analytics, AI/ML, data engineering, governance, and monetization. o Shape long-term offering vision and roadmap in response to global trends in data, regulation, technology, and business needs. o Align offerings with broader enterprise digital transformation objectives and revenue targets. · Market & Competitive Intelligence o Conduct deep market analysis to identify whitespace opportunities, emerging client needs, and competitive positioning. o Translate insights into differentiated offerings and value propositions tailored to enterprise clients. · Cross-Functional Governance & Execution o Chair offering steering committees, working groups, and governance boards across functions including data science, engineering, consulting, sales, and legal. o Oversee offering lifecycle management from strategy through development, launch, feedback loops, and retirement. · Go-to-Market & Commercialization o Collaborate with sales, alliances, marketing, and business development to define commercialization strategies and partner ecosystems. o Establish pricing models, SLAs, service delivery playbooks, and standardized offerings for global scalability. o Engage directly with clients (including CXOs) to position offerings, shape custom solutions, and gather strategic feedback. · Innovation & Thought Leadership o Champion the integration of cutting-edge technologies (e.g., GenAI, real-time analytics, cloud-native platforms) into offerings. o Publish executive thought leadership, speak at industry forums, and drive innovative culture across the organization. o Foster an innovation pipeline through external partnerships, academic collaborations, and internal R&D. · Team & Capability Development o Mentor offering managers, data strategists, and solutions leads to building strong internal capabilities. o Define capability roadmaps and support hiring strategies to scale offering delivery across regions and verticals. o Metrics & Performance Management o Define KPIs for offering performance across revenue growth, customer adoption, satisfaction, and ROI. o Lead quarterly business reviews and executive reporting to measure impact and adjust course. · Qualifications o Education - Bachelor’s or master’s degree in computer science, Data Science, Business, Engineering, or related field. MBA or Ph.D. preferred. o Experience - 20+ years of experience in data and analytics, with at least 8–10 years in offering/product ownership or solution leadership. o Proven track record of building enterprise-grade data offerings or platforms that generate measurable business value. o Experience managing large cross-functional programs, including global delivery models and multi-million-dollar portfolios. · Technical Competency o Deep knowledge of enterprise data architectures (data lakes, cloud platforms like AWS/GCP/Azure, MDM, data mesh). o Understanding of AI/ML, data science platforms, data governance, and real-time analytics. o Comfortable interfacing with technical and non-technical stakeholders at all levels. · Leadership & Soft Skills o Executive presence and strong communication skills, capable of influencing senior stakeholders and clients. o Strong business acumen and a strategic mindset to connect data solutions with business outcomes. o Exceptional organizational leadership and mentorship capabilities. · Preferred Industry Exposure o Experience working in or with one or more of the following sectors: Financial Services, Healthcare, Manufacturing, Retail, Telecom, or Government. Familiarity with regulatory frameworks (e.g., GDPR, HIPAA, CCPA) and industry standards. This is a Leadership role with global impact in shaping data-driven innovation. Opportunity to lead high-profile strategic initiatives at the intersection of business and technology. Collaborative culture with emphasis on growth, innovation, and industry leadership. Show more Show less