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You Will Be Responsible For The Following

Strategic Leadership & Stakeholder Management

Leads the shared vision and roadmap for the use of data and AI within assigned business/enabling units, aligning with enterprise Data & AI and business strategies.
Builds and maintains C‑level and senior leadership relationships with key pillars in the unit; secures sponsorship, budgets, and resources for priority initiatives.
Facilitates portfolio‑level prioritization of use cases and capabilities, balancing value, risk, complexity, and readiness.
Represents the Data Office in relevant leadership forums, steering committees, and cross‑functional councils.

Data & AI Adoption and Value Realization

Oversees the end‑to‑end adoption lifecycle of Data & AI solutions: from opportunity discovery, solution design, experimentation and piloting, up to scaled rollout and business embedding.
Guides customers (business owners, product leads, operations heads) through the successful adoption and implementation of Data and AI solutions, ensuring clear success metrics, baselines, and value tracking.
Works closely with assigned business/enabling units to deeply understand their strategies, operating model, and pain points, and translates these into a pipeline of data & AI use cases, experiments, and products.
Ensures that the unit consistently achieves its targeted outcomes (e.g., uplift in revenue, reduction in losses, improved CSAT/NPS, process efficiency gains) from the company's Data and AI products and platforms.

Portfolio Design, Delivery, and Governance

Designs and leads initiatives, programs, and products together with function leads and cross‑functional teams (Tribes, Technology, Risk, Compliance, etc.) to realize optimal business value from GCash's Data & AI assets.
Acts as product and program sponsor for major data/AI initiatives within the unit: sets direction, defines scope, clarifies roles, and ensures alignment on delivery timelines and dependencies.
Anticipates and manages organizational, technical, and regulatory risks, proactively unblocking issues across teams.
Ensures integration of Data & AI initiatives with enterprise data architecture, platforms, and operating model, working closely with Data Engineering, Analytics, and Governance teams.

Data & AI Strategy, Governance, and Risk Management

Champions GCash's Data and AI strategy, standards, and best practices within assigned units and across the company.
Fosters a culture of compliance with data privacy regulations, responsible AI practices, and the Data and AI Governance Framework.
Partners with Data Governance, Compliance, Legal, and InfoSec to ensure initiatives meet regulatory and risk requirements while enabling innovation.
Drives adoption of data quality, accessibility, and lifecycle management standards, ensuring that data outputs are fit for purpose, well‑documented, and reusable.

People Leadership and Capability Building

Builds the data & AI literacy of business stakeholders through targeted enablement programs, playbooks, and training sessions.
Promotes a high‑performance, experimentation‑friendly culture that balances speed, rigor, and governance.

Measurement and Continuous Improvement

Is accountable for the quality, accessibility, analysis, and management of data outputs that drive innovations, actionable intelligence, and tangible value to the assigned business unit.
Establishes and tracks KPIs and OKRs for Data & AI adoption (e.g., number of use cases in production, value realized, adoption/usage metrics, time‑to‑value).
Continuously refines operating routines, engagement models, and toolkits based on feedback and learnings from initiatives.

We Are Looking For

Competencies and Qualifications

Core Competencies

Advanced stakeholder influence and engagement: Proven ability to influence senior and executive stakeholders, secure sponsorship, and align multiple teams around shared outcomes.
Strong business acumen: Able to articulate and quantify the value of Data & AI in a variety of business contexts (e.g., growth, risk, cost, customer experience).
Deep understanding of operational metrics of assigned business units and their impact on P&L, revenue, customer retention, loss rates, risk, and operational efficiency.
General technical fluency: Strong understanding of quantitative analytics, data science concepts, and structured problem solving; able to bridge business and technical teams.
Process and product management mastery: Can direct analytics and AI initiatives from ideation through experimentation, productionization, and adoption, with clear understanding of lifecycle stages, handshakes, and common pitfalls.
Entrepreneurial mind‑set: Demonstrates enthusiasm, resilience, and business savvy to navigate technical, organizational, and regulatory roadblocks; comfortable operating in ambiguity and driving change.
Leadership and people management: Experience leading high‑performing teams, setting direction, giving feedback, and developing talent.
Communication and storytelling: Able to translate complex data & AI concepts into compelling narratives and business‑friendly materials for diverse audiences.
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), Business, Economics, or related discipline; advanced degree is a plus.
May also have self‑taught or equivalent experience in a STEM or analytics‑related field.
Typically 8–10+ years of experience in data, analytics, digital, product, consulting, or related domains, including 3+ years in people leadership and/or senior stakeholder‑facing roles.
Demonstrated track record of delivering data/AI initiatives into production with clear business value, ideally in financial services, fintech, or technology‑driven organizations.

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package

Senior Manager, Data and AI Success Management