Technical Manager

Clearstate specializes in healthcare-focused market intelligence and strategic advisory services, assisting MedTech companies, biotechnology firms and healthcare service providers in identifying and leveraging market growth opportunities.

We are committed to delivering actionable strategies rooted in robust data analytics, built on the basis of market realities, empowering our clients to make informed decisions. Our mission is to provide credible, actionable and granular market insights globally, and provide value-adding advisory tailored to the needs of the MedTech sector.

We are seeking a highly motivated Technical Manager to drive the transformation of our internal data and technology workflows in support of our business objectives.

This role will focus on migrating spreadsheet-based and manual processes into centralized, scalable, and cloud-based workflows, while ensuring continued support for data delivery and operational needs. This is a hands-on doer-owner role. The successful candidate is expected to design the architecture, make key technical decisions, and personally drive implementation of critical workstreams, rather than join as a people manager expecting a large technical support team. While the role will work closely with and help guide technical colleagues, the primary expectation is strong individual ownership and hands-on execution in driving transformation.

Primary mission

Lead the team to drive technology transformation and cloud migration while maintaining reliable data delivery.

Business outcome

Reduce operational overhead and create a scalable foundation for centralized data, workflow automation and future AI-enabled capabilities.

Responsibilities:

Technology Transformation and Technical Ownership

Drive internal technology and data transformation initiatives aligned with business priorities

Define and execute the roadmap for migrating manual and spreadsheet-based workflows into centralized, automated, and cloud-based systems

Design scalable architecture for data pipelines, workflow orchestration, and centralized data storage, and remain hands-on in implementation

Balance transformation priorities with ongoing operational support for data delivery and internal business needs

Take end-to-end ownership of key technical workstreams, from solution design through delivery and stabilization

Institutionalize technical and operational knowledge through clear documentation, structured processes, and sustainable practices

Drive change management across systems and ways of working, ensuring adoption of new processes and tools across the organization

Data Infrastructure, Automation and Workflow Development

Build and improve automated data pipelines to enhance efficiency, traceability, and scalability of internal workflows

Support the migration of disconnected or Excel-based processes into warehouse-driven and centralized environments

Improve the accessibility, consistency, and governance of internal data to support reporting, analytics, and operational decision-making

Develop workflows that support data mapping, classification, and processing using structured logic, NLP, and machine learning approaches where relevant

Identify opportunities to reduce manual intervention and operational overhead through automation and improved systems design

Support the evolution of internal technology capabilities, including business intelligence, data tools, and workflow enhancements

Cross-functional Delivery and Business Support

Work closely with internal stakeholders to understand operational pain points and translate them into practical technical solutions

Ensure transformation initiatives remain aligned with business priorities and support the company's data delivery requirements

Provide clear direction on priorities, implementation phases, and trade-offs between short-term delivery and long-term system improvement

Support the generation of more scalable and value-adding insights from internal data sources, including opportunities to better use interview notes, mapped data, and structured content

Contribute to a stronger internal foundation for future AI-enabled capabilities, including NLP-based processing, insight generation, and agentic workflows where appropriate

Experience:

5+ years of experience in technical delivery, data engineering, analytics engineering, or related technology transformation roles

Proven experience as a hands-on builder with strong ownership of delivery, architecture, and execution

Proven experience driving workflow, platform, or infrastructure transformation in business environments

Experience migrating manual, spreadsheet-based, or fragmented processes into centralized and automated systems

Experience designing and implementing data pipelines, warehouse-based workflows, or cloud-oriented data infrastructure

Experience working across technical and business stakeholders to deliver practical and scalable solutions

Exposure to workflow automation, business intelligence, or internal analytics tooling

Experience with NLP, machine learning, or AI-enabled workflows would be an advantage

Prior experience mentoring or guiding colleagues would be beneficial, but this is not a pure team lead role

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or related fields

Strong understanding of data workflows, system architecture, cloud migration, and process automation

Strong project ownership and change management capabilities

Ability to independently drive transformation while maintaining delivery continuity

Strong communication skills with the ability to align technical solutions to operational and business needs

A practical and structured working style, with commitment to documentation, knowledge-sharing, and continuous improvement

Preferred Profile:

Experience in building centralized data environments that improve visibility, traceability, and reporting quality

Experience supporting data mapping or content processing workflows using NLP or machine learning methods

Familiarity with cloud migration initiatives and SQL-driven transformation environments

Experience evaluating or supporting AI-enabled workflow improvements, including agentic or semi-automated processes

Demonstrated ability to reduce operational overhead through system redesign and automation

Strong change leadership mindset, with the ability to drive adoption of new tools, practices, and workflows