The Role
Leads cybersecurity projects involving AI/ML, data analytics, software engineering, and threat research. Responsibilities include requirements gathering, planning, delivery, documentation, stakeholder coordination, risk management, budgeting, and lifecycle oversight. The role translates complex cybersecurity challenges into practical, deployable solutions while coordinating multidisciplinary technical teams, customers, vendors, and management.
Summary Generated by Built In
Ensign is hiring !
Duties and Responsibilities
- Interface with customers and stakeholders to understand their business, operational and cybersecurity needs, and facilitate effective engagement to achieve mutually beneficial outcomes.
- Work closely with customers and cross-functional teams comprising software engineers, data engineers, data scientists, threat researchers and cybersecurity specialists to understand requirements, priorities and constraints, and translate them into technical scopes of work and project plans.
- Lead the planning, delivery and implementation of cybersecurity projects involving AI/ML, data analytics, software engineering and related technologies.
- Coordinate project activities across the full development lifecycle, including requirements gathering and analysis, solution design, development, testing, implementation and continuous service improvement.
- Develop and maintain project documentation, including proposals, technical specifications, business cases, test plans, progress reports and other project artefacts.
- Manage project baselines covering scope, schedule, budget, resources and quality, and ensure delivery against agreed objectives.
- Identify and proactively manage project risks, issues, dependencies and constraints, working with stakeholders to develop and execute appropriate mitigation plans.
- Provide regular updates to stakeholders on project progress, key milestones, challenges, risks and issues.
- Manage relationships and expectations across different levels of stakeholders, including customers, management, technical teams and external vendors.
- Facilitate collaboration between cybersecurity, AI/ML, data and software engineering teams to translate complex cyber problems into practical and deployable solutions.
Requirements
- Minimum 3–5 years of experience in managing software engineering, data, AI/ML or cybersecurity projects with experience across the project lifecycle from planning, design, development, testing and implementation.
- Technical background with practical understanding of AI/ML, data analytics and engineering, cybersecurity, software development, and modern data processing and application platforms.
- Experience working with both internal (development team) and external parties (Customers, vendors and etc)
- Strong written & verbal communication and interpersonal skills
- Good presentation, coordination and facilitation skills
- Ability to manage multiple priorities.
Preferred Skills /Qualities
- Experience in Cyber Security, AI/ML, data analytics, system integrator or software development industry
- Experience in delivering enterprise-scale projects and translating complex cybersecurity challenges into practical AI and analytics solutions
- Experience in following project management methodologies and tools: Waterfall, Scrum (Agile), Jira, Gitlab and etc
- Experience in product management, service delivery and the delivery of AI-enabled cybersecurity solutions
- Proven ability to handle multiple projects concurrently including projects involving multidisciplinary technical teams.
- Relevant Project Management certification e.g. PMP, Agile Certified Practitioner
- Relevant Cyber security certification e.g. Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), Certified Information Systems Auditor (CISA) etc
- Hands-on experience in data analytics, AI/ML engineering, software engineering, and modern web application development
Other Special Working Conditions
- Personnel are subjected to security clearance approval depending on project requirements
Skills Required
- Minimum 3-5 years of experience managing software engineering, data, AI/ML, or cybersecurity projects across planning, design, development, testing, and implementation.
- Practical understanding of AI/ML, data analytics and engineering, cybersecurity, software development, and modern data processing and application platforms.
- Experience working with internal development teams and external customers or vendors.
- Strong written, verbal, and interpersonal communication skills.
- Good presentation, coordination, and facilitation skills.
- Ability to manage multiple priorities.
- Experience in cybersecurity, AI/ML, data analytics, system integration, or software development.
- Experience delivering enterprise-scale projects and translating cybersecurity challenges into AI and analytics solutions.
- Experience with Waterfall, Scrum, Jira, or GitLab.
- Experience in product management, service delivery, or AI-enabled cybersecurity solutions.
- Experience managing multiple concurrent projects involving multidisciplinary technical teams.
- Relevant project management certification such as PMP or Agile Certified Practitioner.
- Relevant cybersecurity certification such as CISSP, CEH, or CISA.
- Hands-on experience in data analytics, AI/ML engineering, software engineering, and modern web application development.
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The Company
What We Do
Ensign InfoSecurity is the largest pure-play end-to-end cybersecurity service provider in Asia. Headquartered in Singapore, Ensign offers bespoke solutions and services to address their clients’ cybersecurity needs. Their core competencies are in the provision of cybersecurity advisory and assurance services, architecture design and systems integration services, and managed security services for advanced threat detection, threat hunting, and incident response. Underpinning these competencies is in-house research and development in cybersecurity. Ensign has two decades of proven track record as a trusted and relevant service provider, serving clients from the public and private sectors in the Asia Pacific region
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