Director, Product & Technology Services (Strategy & AI Transformation)

Transform Business Strategy into Measurable Outcomes

Role Summary

The Director of Product and Technology Services bridges product strategy and IT execution. This role drives enterprise-wide strategic planning, identifies new market opportunities, and operationalizes modern AI capabilities (e.g., predictive analytics, GenAI copilots, automation) to accelerate revenue, efficiency, customer experience, and risk management. The ideal candidate is equally fluent in business strategy and applied AI, with a track record of delivering outcomes at scale and building high-performing, cross-functional teams.

What You’ll Do (Key Responsibilities)

Enterprise Strategy

· Lead the annual and multi-year strategic planning process; define the company’s strategic agenda, growth bets, and portfolio priorities aligned to CTO/C-Suite direction.

· Build market/competitive intelligence and scenario planning to inform capital allocation and M&A/partnership decisions.

· Translate strategy into OKRs and measurable roadmaps; partner with Finance and Business Unit (BU) leaders on targets and accountability.

AI & Data Leadership

· Create and execute the enterprise AI strategy (classical ML + GenAI), including use-case prioritization, value sizing, risk assessment, and adoption plans.

· Stand up or mature AI operating model: governance, model lifecycle management (ML Ops), prompt and model risk management, and responsible AI policies (privacy, security, fairness, transparency).

· Drive delivery of high-value AI/automation products (e.g., demand forecasting, churn prediction, intelligent decision support, copilots for sales/service, content generation, document intelligence).

· Partner with CEO/CTO/CRO and Data leaders to ensure enabling platforms: data quality, metadata, feature stores, vector DBs, model registries, observability, and cost governance.

Business Outcomes & Change

· Own value realization: quantify and report ROI, productivity gains, CX improvements, and risk reduction linked to AI and strategic initiatives.

· Champion change management and workforce enablement (training, adoption, new ways of working), in close partnership with HR/L&D.

· Establish a culture of experimentation and continuous improvement (A/B testing, pilots, phased scale).

Stakeholder & People Leadership

· Advise CTO/C-Suite on strategy and AI opportunities/risks; prepare executive materials and communicate progress with clarity.

· Build and lead a diverse Strategy & AI organization (strategy, product, data science/ML, analytics translators, program management).

· Manage a portfolio of internal and external partnerships (hyperscalers, ISVs, SIs, startups, academic institutions).

Required Qualifications

· 10+ years in strategy, corporate development, digital/AI transformation, or related roles, with 5+ years leading teams and enterprise programs.

· Demonstrated experience shipping AI/ML or analytics products that drove measurable business impact (revenue growth, cost reduction, risk mitigation, or CX improvement).

· Strong command of strategic analysis (market sizing, unit economics, portfolio strategy) and AI concepts (supervised/unsupervised learning, GenAI, RAG, evaluation, model risk).

· Proven ability to influence C-suite, align cross-functional stakeholders, and lead through ambiguity.

· Excellent communication skills; able to translate technical topics into business outcomes.

Preferred Qualifications

· Experience in financial services

· Prior ownership of an AI program with governance at scale (e.g., >10 use cases, model monitoring, policy/compliance alignment).

· Familiarity with major cloud ecosystems (Azure/AWS/GCP), data platforms (lakehouse), MLOps tooling, and modern product delivery (Agile, product ops).

· Advanced degree in Business, Computer Science, Data Science, Engineering, or related field (MBA or MS/PhD a plus).

· Exposure to regulatory environments affecting data/AI (e.g., privacy, model governance, sector-specific regs).

Leadership Competencies

· Strategic Agility: Anticipates shifts, frames choices, and allocates resources to the highest-value bets.

· Outcome Orientation: Sets clear OKRs, tracks ROI, and course-corrects quickly.

· Technical Depth + Translation: Credible with technical teams and business leaders; “bilingual” in AI and P&L.

· Inclusive Leadership: Builds diverse, psychologically safe teams; develops talent and succession.

· Change Leadership: Inspires adoption and operationalizes new ways of working at scale.

Success Metrics (First 12–18 Months)

· Clear 3-year strategy and investment thesis approved by CTO/C-Suite.

· AI portfolio defined and sequenced; ≥3 productionized AI products delivering quantified value.

· Responsible AI governance and model lifecycle controls operational and audited.

· Uplift in targeted KPIs (choose relevant to client): revenue growth %, margin improvement bps, cycle-time reduction, NPS/CSAT increase, compliance findings reduced, cost-to-serve decrease.

· Organization health: hiring critical roles, engagement scores, training completion/adoption metrics.

Compensation & Benefits

· Compensation: Competitive base salary + bonus

· Benefits: Medical, dental, vision, 401(k) with company match, paid time off, parental leave, wellness programs, and other executive benefits.

EEO & Workplace Practices

GRT is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Reasonable accommodations are available upon request.