Senior Manager managing Enterprise AI/BI Analytics Platform at Genmab. Responsible for driving the strategy and delivery of AI - enabled analytics capabilities across the organization.
About the role
- AI Tech Partner at Tiger Analytics leading AI and data transformations. Act as trusted advisor and drive innovation through scalable AI ecosystems in a hybrid work environment.
Responsibilities
- Act as a trusted advisor to C-level stakeholders, defining AI strategy, roadmaps, and transformation initiatives aligned to business goals
- Lead end-to-end delivery of AI/ML solutions, from data discovery and modeling to deployment, monitoring, and continuous improvement
- Architect and implement scalable data platforms (lakehouse, data mesh) and AI ecosystems leveraging cloud technologies (AWS, GCP, Azure)
- Drive advanced analytics, machine learning, and GenAI use cases, including NLP, forecasting, optimization, and recommendation systems
- Establish and scale MLOps practices, including CI/CD pipelines, model governance, observability, and lifecycle management
- Translate complex business requirements into technical specifications, including data models, STTM, and transformation logic
- Lead large, cross-functional teams across data engineering, data science, and analytics
- Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory compliance
- Identify new business opportunities, contribute to pre-sales, solutioning, and thought leadership
- Mentor senior talent and build high-performing AI and data teams
Requirements
- 18+ years of experience in AI, data science, analytics, or data engineering, with significant consulting/services background
- Proven track record of leading large-scale AI and data transformation programs for enterprise clients
- Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Strong programming skills in Python and SQL, with experience in distributed data processing (Spark)
- Extensive experience with modern data platforms and tools (Databricks, Snowflake, BigQuery, dbt)
- Expertise in cloud-native architectures and services across AWS, GCP, or Azure
- Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and production-grade deployments
- Strong understanding of data modeling, ETL/ELT pipelines, and data governance frameworks
- Experience with Generative AI (LLMs, prompt engineering, RAG architectures, vector databases)
- Industry agnostic experience in domains such as Retail, CPG, Insurance, Financial Services, Pharma & Life Science, SaaS, Manufacturing, Telecom, etc.
- Experience with data privacy regulations (GDPR, HIPAA) and AI risk frameworks
- Advanced degree in Computer Science, Data Science, Statistics, or related field
- **Key Competencies**
- Strategic leadership and executive communication
- Deep technical problem-solving and architecture design
- Client relationship management and business development
- Ability to bridge business and technical teams effectively
- Innovation mindset with a focus on scalable, reusable solutions
Benefits
- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.
- **Disclaimer**
- ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Enablement Lead driving AI adoption and support across Collinson. Focus on developing AI literacy and embedding AI tools in workflows for effective business operations.
Chief AI Officer driving AI innovations in EveryMatrix, a leading B2B SaaS iGaming provider. Focused on operational excellence and market leadership through autonomous technologies.
AI 3D Dataset Engineer developing and maintaining end - to - end 3D data pipelines for a 3D generative AI company. Ensuring high - quality data flow through geometric analysis and quality assessment.
Engineer - scientist in Frontier AI developing AI - powered tools for scientific document authoring. Collaborate with teams to innovate and improve scientific communication and documentation.
Senior Manager AI & Analytics at Ecolab, leading a team in developing revenue - generating AI products and analytics strategies. Collaborating with various departments to enhance operational efficiency and sustainability.
Director of Applied AI in the Homeland Sector driving end - to - end AI solutions. Leading hands - on AI strategy and production implementations across critical systems.
Technical Delivery Manager accountable for enterprise - scale Data & AI programme delivery. Leading transitions from technical win through production, adoption, and value realization.
AI Technical Specialist at Teck automating AI intake and analysis processes. Collaborating within Data Science team to ensure governance and performance of AI portfolio.
Working student/Intern at Aurixus GmbH focusing on AI, automation, and efficiency improvements. Engage in building automations, simplifying workflows, and reducing manual tasks in a hybrid/remote environment.