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Data Specialist - Artificial Intelligence / Machine Learning

Data Specialist - Artificial Intelligence / Machine Learning

Neerinfo SolutionsChennai
25 days ago
Job description

Key Responsibilities :

Strategic Offering Leadership :

  • Lead the definition, creation, and evolution of data-driven offerings across analytics, AI / ML, data engineering, governance, and monetization.
  • Shape long-term offering vision and roadmap in response to global trends in data, regulation, technology, and business needs.
  • Align offerings with broader enterprise digital transformation objectives and revenue targets.

Market & Competitive Intelligence :

  • Conduct deep market analysis to identify whitespace opportunities, emerging client needs, and competitive positioning.
  • Translate insights into differentiated offerings and value propositions tailored to enterprise clients.

    • Cross-Functional Governance & Execution :

  • Chair offering steering committees, working groups, and governance boards across functions including data science, engineering, consulting, sales, and legal.
  • Oversee offering lifecycle management from strategy through development, launch, feedback loops, and retirement.

    • Go-to-Market & Commercialization :

  • Collaborate with sales, alliances, marketing, and business development to define commercialization strategies and partner ecosystems.
  • Establish pricing models, SLAs, service delivery playbooks, and standardized offerings for global scalability.
  • Engage directly with clients (including CXOs) to position offerings, shape custom solutions, and gather strategic feedback.

    • Innovation & Thought Leadership :

  • Champion the integration of cutting-edge technologies (e.g., GenAI, real-time analytics, cloud-native platforms) into offerings.
  • Publish executive thought leadership, speak at industry forums, and drive innovative culture across the organization.
  • Foster an innovation pipeline through external partnerships, academic collaborations, and internal R&D.

    • Team & Capability Development :

  • Mentor offering managers, data strategists, and solutions leads to building strong internal capabilities.
  • Define capability roadmaps and support hiring strategies to scale offering delivery across regions and verticals.

    • Metrics & Performance Management :

  • Define KPIs for offering performance across revenue growth, customer adoption, satisfaction, and ROI.
  • Lead quarterly business reviews and executive reporting to measure impact and adjust course.

    • Qualifications :

  • Education Bachelors or masters degree in computer science, Data Science, Business, Engineering, or related field. MBA or Ph.D. preferred.
  • Experience 20+ years of experience in data and analytics, with at least 810 years in offering / product ownership or solution leadership.
  • Proven track record of building enterprise-grade data offerings or platforms that generate measurable business value.
  • Experience managing large cross-functional programs, including global delivery models and multi-million-dollar portfolios.

    • Technical Competency :

  • Deep knowledge of enterprise data architectures (data lakes, cloud platforms like AWS / GCP / Azure, MDM, data mesh).
  • Understanding of AI / ML, data science platforms, data governance, and real-time analytics.
  • Comfortable interfacing with technical and non-technical stakeholders at all levels.

    • Leadership & Soft Skills :

  • Executive presence and strong communication skills, capable of influencing senior stakeholders and clients.
  • Strong business acumen and a strategic mindset to connect data solutions with business outcomes.
  • Exceptional organizational leadership and mentorship capabilities.

    • Preferred Industry Exposure :

  • 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.

    ref : hirist.tech)

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