Digital Transformation Manager

Realcognita; Metro Manila; On-site; PHP 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Day 1 HMO Coverage

VL/SL Credits

Annual Year-End Celebration

Sports Fest and Team Engagement Activ

Monthly Tea Time and Employee Engagem

Job summary

Realcognita in the Philippines seeks an AI & Digital Transformation Manager to lead the identification, prioritization and delivery of AI, data and automation initiatives that improve Realcognita's operations and client outcomes.

The role works across residential and commercial services, internal functions and client engagements in Australia, the United States and other markets, connecting business priorities with technical delivery and ensuring adoption and measurable results.

Qualifications

• At least five years’ experience delivering technology, data, process improvement or digital transformation initiatives.
• Experience coordinating cross-functional projects from discovery through implementation and adoption.
• Practical understanding of generative AI, automation, data and analytics, including their limitations and appropriate use.
• Experience translating business problems into requirements, delivery plans and measurable outcomes.
• Experience with one or more cloud, data or AI platforms, such as Microsoft Azure, Foundry, Fabric, Power BI, Copilot, ChatGPT, Claude or equivalent tools.
• Experience working with finance, accounting, operations, design, drafting, engineering or other technical service workflows.
• Familiarity with residential construction, drafting, CAD or BIM processes.
• Experience with data visualization, workflow tools, SQL, APIs or software delivery concepts.
• Relevant project management, data, AI, security or change management certifications.
• Experience working across multiple countries or distributed teams.

Responsibilities

• Lead the AI and digital transformation strategy development with the GM and leadership.
• Identify opportunities across services and corporate functions, drafting business cases and budgets.
• Map workflows, define future state and required changes, and set success metrics.
• Develop business cases with benefits, costs, risks and operating requirements.
• Establish baselines and track benefits post-implementation with required governance.
• Coordinate internal teams, vendors and client stakeholders to deliver initiatives.
• Choose delivery methods (Agile, staged) per initiative and manage milestones.
• Define evaluation methods for AI solutions, ensure user adoption and escalation procedures.
• Ensure security, privacy, compliance and governance in AI deployments.
• Monitor costs, licensing and platform usage; maintain documented decisions and roadmaps.

Education

Relevant tertiary qualification in information technology, computer science, data, engineering, business, project management or a related field; or equivalent relevant experience.

Job description

Values:

• Keep it real: We’ve got a no-nonsense approach to how we do business. That means authentic partnerships with customers that build better futures for everyone – not just us.
• Leave the complexity at the door: We’re all about untangling complexity, not building it in. We favour long term impact over short term wins and learn from each other’s mistakes.
• Together we grow: We invest in our people because we care about their futures along with their families. In return we expect honesty, unwavering commitment and having fun.
• Work smart, work safe: We optimize our time, energy, and resources to achieve the best results possible for our customers without compromising on our team's safety.

Your purpose:

As a AI & Digital Transformation Manager will lead the identification, prioritization and delivery of AI, data and automation initiatives that improve how Realcognita operates and serves its clients.

The role will work across Realcognita’s residential and commercial services, internal functions and client engagements in Australia, the United States and other markets. It will connect business priorities with technical delivery, ensuring that AI and digital projects solve defined problems, are adopted by users and produce measurable outcomes.

The successful candidate will be able to assess opportunities, build practical business cases, coordinate business and technical teams, manage delivery and explain results clearly to executive leaders. They will understand the capabilities and limitations of modern AI and data platforms, but will not be expected to personally build every model, integration, dashboard or application.

The role reports directly to the General Manager and works in close partnership with the Head of IT on architecture, security, platforms, integrations and technical standards.

What success looks like for you:

The role will help Realcognita move from isolated AI experiments to a focused portfolio of useful, secure and adopted solutions. Success will be measured by the business results achieved, including improvements in quality, productivity, turnaround time, cost visibility, decision-making and client experience.

Key responsibilities:

1. AI and digital transformation strategy:

• Work with the General Manager and leadership team to develop and maintain Realcognita’s AI and digital transformation priorities.
• Identify opportunities across residential services, commercial services and corporate functions, including drafting, estimating, design, engineering, compliance, finance, reporting, marketing and client service.
• Assess opportunities based on business value, feasibility, risk, cost, data readiness and likely adoption.
• Maintain a prioritised portfolio of initiatives, with clear owners, outcomes, dependencies, budgets and delivery plans.
• Prepare recommendations on which initiatives to scale, refine, pause or stop.
• Keep the company informed about relevant developments in AI and digital technology and assess their practical value to Realcognita.
• Build a culture of responsible experimentation, learning and continuous improvement.

2. Use-case discovery and business case development:

• Work with business owners and client-facing teams to understand problems before recommending technology.
• Map current workflows and define the desired future state, including the people, process, data and system changes required.
• Translate business needs into clear requirements, project scope, success measures and acceptance criteria.
• Develop business cases that describe expected benefits, costs, risks, implementation effort and ongoing operating requirements.
• Establish baseline measures before implementation so that benefits can be assessed accurately.
• Identify where existing systems, process changes or better use of current tools may solve a problem without building a new application.

3. Project and product delivery:

• Lead initiatives from discovery and business case through design, build or configuration, testing, deployment, adoption and post-implementation review.
• Select a delivery approach suited to each initiative, using Agile, staged or other methods as appropriate.
• Establish project plans, milestones, responsibilities, budgets, risk registers, decision points and governance.
• Coordinate internal teams, technical specialists, vendors and client stakeholders.
• Identify delivery blockers early and bring decisions to the appropriate leaders.
• Manage scope, schedule, quality, dependencies, change requests and stakeholder expectations.
• Ensure solutions have an accountable business owner and a support and maintenance plan after launch.
• Track benefits after implementation and recommend adjustments where expected results are not being achieved.

4. AI solution assessment and implementation:

• Identify suitable applications of generative AI, machine learning, intelligent document processing, workflow automation, retrieval-augmented generation and AI agents.
• Assess platforms and models based on capability, security, privacy, cost, integration, reliability and suitability for the task.
• Coordinate with IT and technical specialists on solution design, data access, integrations, testing and deployment.
• Define evaluation methods for AI solutions, including accuracy, consistency, usefulness, failure handling, human review and appropriate escalation.
• Ensure that users understand the limitations of AI outputs and know when human review or approval is required.
• Support the controlled use of approved AI tools and help teams understand how to use them effectively.
• Monitor usage, licensing and consumption costs, and identify opportunities to improve value.
• Maintain flexibility as platforms and model capabilities change. Experience with tools such as Microsoft Foundry, Microsoft Fabric, Microsoft Copilot, Power BI, ChatGPT and Claude is useful, but knowledge of one specific vendor or product is not a substitute for sound solution judgement.

5. Data, analytics and business reporting:

• Work with business leaders and Finance to identify reporting needs and improve access to reliable management information.
• Define clear ownership and consistent definitions for key measures and business performance indicators.
• Coordinate data sourcing, integration, cleansing, validation and access with the relevant system owners and technical teams.
• Oversee the development of dashboards, reports and analytical tools, working with specialists where technical build skills are required.
• Promote data quality, traceability and appropriate documentation of data sources and calculations.
• Translate analysis into clear insights and recommendations for leaders.
• Support the development of reporting that gives the General Manager and leadership team a useful view of client activity, sales, project delivery, utilisation, capacity, service quality and financial performance.

6. Finance and corporate process improvement:

• Partner with Finance and other corporate teams to identify opportunities to improve processes through data, AI and automation.
• Potential areas may include accounts payable and receivable, billing, reconciliations, month-end reporting, budgeting, forecasting and management reporting.
• Document current and future workflows and confirm requirements with Finance process owners.
• Work with Finance and IT to ensure appropriate approval steps, segregation of duties, audit trails and access controls are retained.
• Ensure financial data used in analysis or AI-enabled workflows is appropriately sourced, checked and protected.
• Support financial planning and analysis initiatives where improved data or automation can provide practical value.
• This role coordinates transformation projects; it does not replace Finance’s ownership of accounting policy, financial controls or financial sign-off.

7. Residential drafting QA/QC initiative:

Responsibilities will include:

• Confirm the business problem, target users, scope and expected benefits with drafting and operations leaders.
• Document the review and correction process from drawing submission through markup, issue logging, correction, sign-off and resubmission.
• Work with subject matter experts to define checklists and review criteria for items such as title blocks, sheet naming, layers, dimensions, annotations, revisions, drafting standards and relevant client requirements.
• Identify which checks can be automated reliably and where a qualified human reviewer must remain responsible.
• Coordinate solution design and testing, including potential integration with AutoCAD, Revit or related systems where appropriate.
• Ensure that issues, corrections and approvals can be traced and reported.
• Establish baseline and ongoing measures such as error rates, recurring issue types, rework and review turnaround time.
• Pilot the solution with an agreed user group, gather feedback and manage improvements before broader rollout.
• Coordinate user guidance, training, support and adoption with the relevant operational leaders.

8. Governance, risk and responsible use

• Work with IT and relevant business owners to ensure initiatives follow Realcognita’s information security, data classification, access control and AI governance requirements.
• Identify and elevate privacy, security, client confidentiality, intellectual property, data quality and operational risks.
• Ensure project teams understand where data is stored, how it is accessed and whether it may be used by external platforms or service providers.
• Coordinate appropriate review of AI outputs, human oversight, auditability and record keeping.
• Ensure solutions comply with applicable legal, regulatory, contractual and client requirements in the markets where Realcognita operates.
• Maintain appropriate documentation of project decisions, risk assessments, testing and approvals.
• Work with IT, HR, Finance, client teams and external advisers when specialist review is required.

9. Change management and adoption:

• Involve users and business owners early in the design of solutions.
• Develop practical rollout, communications and training plans with the relevant leaders.
• Support teams through changes to workflows, responsibilities and systems.
• Gather user feedback and monitor adoption, satisfaction and operational impact.
• Identify barriers to adoption and work with managers to address them.
• Ensure solutions are supported by clear guidance and a defined process for reporting issues or requesting improvements.

10. Executive communication and vendor management:

• Provide regular, decision-ready updates to the General Manager and leadership team.
• Explain project progress, outcomes, risks, costs, decisions required and benefits achieved.
• Prepare business cases, project updates, recommendations and post-implementation reviews.
• Manage vendors and external partners involved in discovery, implementation or support.
• Assess vendor proposals and performance against agreed requirements, costs, security expectations and service levels.
• Monitor project and ongoing platform costs, including licenses, usage-based fees and cloud consumption.

Qualifications and experience:

Required

• Relevant tertiary qualification in information technology, computer science, data, engineering, business, project management or a related field; or equivalent relevant experience.
• At least five years’ experience delivering technology, data, process improvement or digital transformation initiatives.
• Demonstrated experience coordinating cross-functional projects from discovery through implementation and adoption.
• Practical understanding of generative AI, automation, data and analytics, including their limitations and appropriate use.
• Experience translating business problems into requirements, delivery plans and measurable outcomes.
• Experience working with senior stakeholders, business users, technical teams and external vendors.
• Strong written and verbal communication skills, including the ability to explain technical concepts in practical business terms.
• Sound judgement when working with confidential information, business data and emerging technologies.
• Demonstrated ability to manage competing priorities, risks, budgets and delivery dependencies.
• Experience delivering AI, LLM, data analytics or automation initiatives in a business environment.
• Experience with one or more cloud, data or AI platforms, such as Microsoft Azure, Foundry, Fabric, Power BI, Copilot, ChatGPT, Claude or equivalent tools.
• Experience working with finance, accounting, operations, design, drafting, engineering or other technical service workflows.
• Familiarity with residential construction, drafting, CAD or BIM processes.
• Experience with data visualization, workflow tools, SQL, APIs or software delivery concepts.
• Relevant project management, data, AI, security or change management certifications.
• Experience working across multiple countries or distributed teams.

Core competencies:

• Business judgement: Connects technology choices to practical business and client outcomes.
• Delivery leadership: Creates momentum, manages dependencies and follows work through to adoption.
• AI and data literacy: Understands what current tools can do, where they can fail and how to evaluate them.
• Communication: Makes complex issues clear for executives, technical teams and users.
• Influence: Builds cooperation across teams without relying solely on formal authority.
• Analytical thinking: Uses evidence, measures and user feedback to guide decisions.
• Integrity: Handles information responsibly and applies sound judgement to AI use.
• Adaptability: Learns quickly as business needs and technology change.
• Day 1 HMO Coverage
• VL/SL Credits
• Annual Year-End Celebration
• Sports Fest and Team Engagement Activities
• Monthly Tea Time and Employee Engagement Sessions