Job Profile Summary

The Technical Delivery Manager – Data & AI is accountable for the end‑to‑end delivery of sophisticated, enterprise‑scale Data programmes with steadfast focus on using AI. This role leads the transition of data and AI use cases from technical win through production, adoption, and value realisation.

The role requires strong data platform proficiency (including Databricks, ADH and distributed data systems), hands‑on coding literacy, and delivery leadership. This is a customer‑facing role, working with business collaborators, platform teams, partners, and delivery organisations to ensure successful outcomes at scale.

Key Responsibilities:

Delivery & Programme Leadership

Lead delivery of large, sophisticated Data and AI programmes or multiple concurrent projects from inception through outcome delivery.
Own demand planning, prioritisation, forecasting, and budgeting across the data delivery portfolio.
Define, lead and supervise delivery to agreed methodology, quality standards, and architectural principles.
Act as the primary partner concern point for delivery issues from a customer perspective and own effort estimation for delivery, bids, and engagement planning.
Ensure formal acceptance of work and successful transition to steady‑state operations.

Customer & Partner Management

Engage with Solutions Architects to understand prioritised customer demand and use‑case plans.
Serve as the accountable technical lead across customers, selling teams and internal collaborators and lead senior customer relationships, including business collaborators, to set and handle expectations
Resolve sophisticated delivery customer concerns with senior leaders.

Data & AI Use Case Execution

Lead onboarding, enablement, launch and healthy production consumption of Data & AI workloads.
Be the first point of contact for production and launch technical issues across multiple use cases.
Develop and implement a clear point‑of‑view on accelerating priority Data & AI use cases into production and coordinate with Professional Services and partners to build and deliver engagement proposals.

Platform, Product & Engineering Engagement

Navigate product and data engineering teams to support new product innovations, private previews, and upgrade needs.
Drive adoption of modern data platform and Lakehouse architectures and address organic optimisation needs including cloud cost control, tuning and performance optimisation.

Governance, Reporting & Value Management

Develop and run executive and operational governance across delivery programmes.
Provide internal and external critical metric reporting on:
Customer health and usage
Investment status
Key risks and dependencies
Product adoption
Use‑case progression
Translate technical delivery into measurable business outcomes and value.

Required Qualifications

Experience

Minimum 8-10 years’ experience in IT delivery management and 5 years’ experience delivering Data and/or AI solutions at enterprise scale.
Shown accountability for sophisticated Data & AI programmes in high‑scale, distributed environments.
Experience in customer‑facing roles such as delivery management, consulting, architecture, pre‑sales or customer success.
Proven experience leading multi‑disciplinary teams across onshore, nearshore and offshore locations and proven track record of over‑achievement against delivery, commercial or growth targets.

Technical Skills

Strong data platform proficiency, including:
Databricks (delivery and consumption context)
Azure Data Hub (ADH) or equivalent enterprise data platforms
Distributed data systems and architectures
SAP suite of products- BDC and SAC and Programming experience in Python, SQL and/or Scala.
Shown understanding of data engineering, AI/ML pipelines and cloud data platforms.
Ability to give to technical build discussions and architecture decisions with customers.

Delivery & Leadership Skills

Strong programme and project management capability, including:
Agile and hybrid delivery models
Commercial models (T&M, Fixed Price, Fixed Capacity)
Resource planning, forecasting, risk and dependency management
Experience delivering multi‑practice engagements (platform, security, testing, managed services).
Shown people leadership capability, including mentoring and developing delivery leaders.

Education:

Bachelor's degree in computer science, Engineering, Information Systems, or equivalent professional experience.
Master’s degree or equivalent experience desirable but not required.

What we offer:

It’s crucial to us that the differences we see in the world around us are reflected in our workplace. Who you are is what counts, not where you’re from or how you live your life. At bp, we support our people to learn and grow in a diverse and ambitious environment. We believe that our team is strengthened by diversity. We are committed to encouraging an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits include:

Generous salary package including an annual bonus program and individual performance-based incentives!
Additional EPF contributions totaling 15%.
Excellent work-life balance & flexible working arrangements!
Collaborative environment that celebrates achievements, diversity, and culture
Ongoing career development and progression opportunities in a global organization
16 weeks paid parental leave (4 weeks partner leave)

Travel Requirement

No travel is expected with this role

Relocation Assistance:

This role is not eligible for relocation

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Agility core practices, API and platform design, Arquitectura de solución, Cloud Platforms, Colaboración, Comunicación, Configuration management and release, Continuous deployment and release, Creating a high performing team, Diseño de bases de datos, Diseño de interfaz visual, Documentation and knowledge sharing, Emerging technology monitoring, Facilitación, Gestión de la parte interesada, Gestión de proyecto digital, Gestión de relación con proveedores, Gestión de riesgos, Mentoring, Metrics definition and instrumentation, Modelado de datos relacionales, NoSql data modelling, Resolución de problemas, Scripting {+ 7 more}

Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Technical Delivery Manager – Data & AI (Procurement)