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Technical Delivery Senior Manager – Data & AI

BP

Technical Delivery Senior Manager – Data & AI

BP

Malaysia - Kuala Lumpur; India - Pune

·

On-site

·

Full-time

·

3w ago

Entity:

Technology

Job Family Group:

IT&S Group

Job Description:

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, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, No Sql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development {+ 7 more}

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, 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.

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About BP

BP

BP

Public

BP is a British multinational oil and gas company engaged in the exploration, production, refining, and marketing of petroleum products. The company operates across all areas of the oil and gas industry including upstream exploration and production, downstream refining and marketing, and renewable energy investments.

10,001+

Employees

London

Headquarters

$78B

Valuation

Reviews

3.3

17 reviews

Work-life balance

2.0

Compensation

2.5

Culture

1.5

Career

2.0

Management

1.2

15%

Recommend to a friend

Pros

Competitive compensation packages offered

Stable employment for some periods

Regular performance reviews and raises

Cons

Mass layoffs and cost-cutting measures

Toxic management and harassment

Poor severance packages

Salary Ranges

0 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$62,301

total per year

Base

$24,920

Stock

$31,151

Bonus

$6,230

$43,611

$80,991

Interview experience

6 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer rate

50%

Experience

Positive 0%

Neutral 83%

Negative 17%

Interview process

1

Application Review

2

HireVue Screening

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience