Senior Manager-Digital and Technolgy-Thailand
GSK is hiring a Senior Manager-Digital and Technolgy-Thailand. Level rates it ; you can apply on GSK.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include AI automation.
- Level classifies it as a senior role.
- Level lists 949 other open roles at GSK.
- The role was posted in the last few days.
AI in this role
Job Purpose:
The Country Digital & Technology Senior Manager is the senior Digital & Technology leader accountable for Digital, Data, AI and Technology outcomes within a Local Operating Company (LOC), or cluster of LOCs. The role leads local execution of global D&T strategy, develops and governs the integrated country roadmap, and acts as the single point of accountability for success, service continuity, compliance and value realization of local, products and services. The role combines transformation leadership with operational technology accountability: driving business outcomes through transformational AI, data and product-led thinking while ensuring core commercial systems are secure, compliant, resilient and well-governed.
Key Responsibilities:
- Lead Country D&T Strategy and Execution: Translate the country’s business strategy into an integrated Digital & Technology (D&T) roadmap, aligning local market priorities with enterprise strategy, value creation, capacity, investment and governance requirements.
- Strategic Business Partnership and Leadership: Act as the accountable D&T leader and primary technology partner, part of the LOC Leadership Team, representing GSK Tech and orchestrating enterprise capabilities to address local business priorities. Build trusted relationships with C-suite and senior business leaders, influencing strategic decisions and shaping technology-enabled business outcomes.
- AI-Enabled Business Transformation: Drive AI-led business transformation by identifying, prioritising and scaling high-value opportunities across AI, data and omnichannel engagement. Embed AI into business processes and decision-making, evolving the LOC from point solutions and tool adoption towards AI-enabled ways of working.
- Intelligent Automation and Human–AI Collaboration: Accelerate productivity and operational efficiency through intelligent automation, leveraging enterprise platforms, applications and low-/no-code capabilities to eliminate manual effort, augment decision-making and enable effective Human + AI operating models.
- Commercial Technology and Service Governance: Own the governance and performance of local core commercial technology, systems and services, ensuring business adoption, lifecycle management, service excellence, business continuity, operational resilience, compliance and effective risk management.
- Portfolio, Demand and Value Management: Lead the end-to-end technology demand and portfolio lifecycle, from opportunity identification and value assessment through prioritisation, investment planning, delivery and benefits realisation. Drive informed build/buy/partner decisions, scale successful solutions and establish sustainable business-as-usual (BAU) operating models.
- Product-Led Strategy and Enterprise Reuse: Champion product-led thinking and strategic reuse of global and regional platforms, products and capabilities. Balance enterprise standardisation with legitimate local market needs to maximise business value, accelerate delivery and improve cost efficiency and productivity.
- Data, Analytics and Insight-Led Decision-Making: Enable data-driven business decisions through trusted data, actionable analytics, customer insights, omnichannel performance metrics and forward-looking dashboards that improve commercial effectiveness and business performance.
- Digital Capability and Talent Development: Build digital, data and AI maturity across the LOC by strengthening business capabilities, upskilling commercial teams and developing local champions. Lead, coach and develop local employees, contingent workers and external delivery partners, as applicable, to build sustainable technology capabilities.
- Responsible Technology, Risk and Compliance: Champion the secure, ethical and compliant adoption of technology, AI and data capabilities. Partner closely with Compliance, Legal, Procurement, Privacy, Security, Risk and Medical/Commercial governance stakeholders to ensure adherence to enterprise policies, regulatory obligations and local market requirements
Required Skills & Qualification:
- Minimum Bachelor/Masters degree or equivalent experience in Information Technology, Digital, Data, Life Sciences, Commercial Operations or a related discipline. Advanced degree or equivalent experience, e.g. MBA, MSc, Computer Science, AI/data certification, product, digital or transformation qualification is preferred.
- Significant experience in Digital, Technology, Data, AI, Product, Commercial Excellence or Business Transformation
- 12+ years in technology/digital with substantial leadership experience.
- Experience in a global role with exposure to markets such as Southeast Asia and APAC, preferably Thailand.
- Proven ability to translate market strategy and business priorities into technology-enabled outcomes, adoption and measurable value.
- Experience partnering with senior leaders and influencing local, regional and global matrix organizations.
- Experience managing or influencing teams, contingent workers, vendors and development partners, including capacity, budgets, contracts, delivery performance and capability development.
- Experience with enterprise platforms, core commercial systems, omnichannel capabilities, data/analytics, AI use cases, digital marketing/channels and sales/marketing systems such as Veeva, IQVIA or local equivalents where applicable.
- Experience with technology lifecycle management, service continuity, portfolio health, demand/value prioritization, build/buy/outsource choices, BAU transition, governance, risk, privacy, security, quality and audit/inspection expectations.
Preferred Skills:
- Vendor & Financial Management: Proven expertise in managing external service vendors and controlling IT financial cross-charge and provisioning models.
- Service Architecture, ITSM - ServiceNow processes including Configuration Management Database (CMDB), Risk & Control Assessments (R&CA), Incident Management, and Knowledge Management for all regional tech services.
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Skills
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Inclusion at GSK:
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.
Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.
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How we rate this
Senior Manager-Digital and Technolgy-Thailand at GSK rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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