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
- Technical Delivery Manager accountable for enterprise-scale Data & AI programme delivery. Leading transitions from technical win through production, adoption, and value realization.
Responsibilities
- Lead delivery of large, sophisticated Data and AI programmes or multiple concurrent projects from inception through outcome delivery.
- Own demand planning, prioritisation, forecasting, and budgeting across the data delivery portfolio.
- Define, lead and supervise delivery to agreed methodology, quality standards, and architectural principles.
- Act as the primary partner concern point for delivery issues from a customer perspective and own effort estimation for delivery, bids, and engagement planning.
- Ensure formal acceptance of work and successful transition to steady-state operations.
- Engage with Solutions Architects to understand prioritised customer demand and use-case plans.
- Serve as the accountable technical lead across customers, selling teams and internal collaborators and lead senior customer relationships to set and handle expectations.
- Resolve sophisticated delivery customer concerns with senior leaders.
- Lead onboarding, enablement, launch and healthy production consumption of Data & AI workloads.
- Be the first point of contact for production and launch technical issues across multiple use cases.
- Develop and implement a clear point-of-view on accelerating priority Data & AI use cases into production and coordinate with Professional Services and partners to build and deliver engagement proposals.
- Navigate product and data engineering teams to support new product innovations, private previews, and upgrade needs.
- Drive adoption of modern data platform and Lakehouse architectures and address organic optimisation needs including cloud cost control, tuning and performance optimisation.
- Develop and run executive and operational governance across delivery programmes.
- Provide internal and external critical metric reporting on: Customer health and usage, Investment status, Key risks and dependencies, Product adoption, Use-case progression.
- Translate technical delivery into measurable business outcomes and value.
Requirements
- Minimum 8-10 years’ experience in IT delivery management and 5 years’ experience delivering Data and/or AI solutions at enterprise scale.
- Shown accountability for sophisticated Data & AI programmes in high-scale, distributed environments.
- Experience in customer-facing roles such as delivery management, consulting, architecture, pre-sales or customer success.
- Proven experience leading multi-disciplinary teams across onshore, nearshore and offshore locations and proven track record of over-achievement against delivery, commercial or growth targets.
- Strong data platform proficiency, including: Databricks (delivery and consumption context), Azure Data Hub (ADH) or equivalent enterprise data platforms, Distributed data systems and architectures, SAP suite of products- BDC and SAC
- Programming experience in Python, SQL and/or Scala.
- Shown understanding of data engineering, AI/ML pipelines and cloud data platforms.
- Ability to give to technical build discussions and architecture decisions with customers.
- Strong programme and project management capability, including: Agile and hybrid delivery models, Commercial models (T&M, Fixed Price, Fixed Capacity), Resource planning, forecasting, risk and dependency management
- Experience delivering multi-practice engagements (platform, security, testing, managed services).
- Shown people leadership capability, including mentoring and developing delivery leaders.
- Bachelor's degree in computer science, Engineering, Information Systems, or equivalent professional experience. Master’s degree or equivalent experience desirable but not required.
Benefits
- Generous salary package including an annual bonus program and individual performance-based incentives!
- Additional EPF contributions totaling 15%.
- Excellent work-life balance & flexible working arrangements!
- Collaborative environment that celebrates achievements, diversity, and culture
- Ongoing career development and progression opportunities in a global organization
- 16 weeks paid parental leave (4 weeks partner leave)
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