Transformation Director (Data Science)

RX Brasil; Greater London; Hybride; GBP 120 000 - 190 000; Plein temps

Avantages offerts par ce poste

Generous holiday allowance

Private medical benefits

Wellbeing programs

Contributory pension scheme

Share option scheme

Résumé du poste

Elsevier seeks a Transformation Director (Data Science) to lead multi-workstream transformation, ensuring governance hygiene, timely delivery, and coherent portfolio management. The role shapes business cases, engages with senior stakeholders, and translates complex technical plans for executives.

You will partner with Finance to validate assumptions, monitor benefits, and drive investment in future initiatives, aligning with corporate strategy and data‑driven outcomes.

Qualifications

• A data science, ML or AI engineering background, gained through hands‑on practitioner experience or through leading or governing data science delivery, sufficient to understand the technical content of the change workstreams and to translate it accurately for senior, non-technical audiences.
• Substantial experience running portfolio, programme, or transformation governance in a complex, technical organisation, with a track record of improving delivery discipline.
• Demonstrated experience producing and presenting reporting to senior and executive audiences, with the credibility to hold the room.
• Strong grounding in programme management methods (e.g. MSP, PRINCE2, P3O, Agile/SAFe or equivalent), applied pragmatically rather than dogmatically.
• Experience building or contributing to business cases, including benefits and financial modelling.
• Sharp analytical and written communication skills; able to turn complexity into a clear message.
• Confident challenger who can influence without relying on formal authority.

Responsabilités

• Define, maintain, and continuously improve the standards for programme and project management across the transformation: planning, RAID, dependency management, change control, benefits tracking etc.
• Assess hygiene across workstreams, challenge gaps, and coach leads to close gaps early.
• Provide independent assurance on delivery confidence, flag slippage and emerging risk before it becomes an escalation.
• Apply technical understanding of data science, ML and AI engineering to challenge plans, estimates, and risk assessments.
• Run governance cadence end to end, producing concise, accurate packs, dashboards, and narratives for senior leadership.
• Establish a single source of truth for status, milestones, risks, and benefits, ensuring data quality.
• Maintain a coherent view of the change portfolio and align with wider Data Science OKRs and planning cycles.
• Support leads in building robust business cases, validate assumptions with Finance, track realised benefits.
• Shape the pipeline of future initiatives so new proposals fit the portfolio and strategy.

Connaissances

Data science background

Portfolio governance experience

Executive reporting

Programme management methods

Financial modelling

Analytical & written communication

Influence without authority

Presentation to senior audiences

Business case development

Description du poste

Transformation Director (Data Science)

Are you passionate about transforming data science strategy into meaningful business impact? Do you thrive on leading complex transformation, aligning senior stakeholders, and turning ambitious plans into measurable outcomes?

About the team

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

About the role

The Data Science function is delivering a significant, multi-workstream transformation. This role manages that portfolio and provides the governance backbone for that change: ensuring programme hygiene is fit for purpose, so delivery is timely and effective, keeping the change portfolio coherent, and giving senior leaders a clear, trusted view of progress, risk and value. The role also helps shape and sharpen new business cases so that the next wave of investment is well founded.

Key responsibilities

• Programme hygiene and delivery assurance: Define, maintain, and continuously improve the standards for programme and project management across the transformation: planning, RAID, dependency management, change control, benefits tracking etc. Assess hygiene across workstreams, challenge where it is not fit for purpose, and coach programme and project lead to close gaps early. Provide independent assurance on delivery confidence, flagging slippage and emerging risk before it becomes an escalation.
• Apply sufficient technical understanding of data science, ML and AI engineering (e.g. model development and deployment, model registries, LLM optimisation, production-grade code) to challenge plans, estimates, dependencies, and risk assessments, and to spot when reported progress does not reflect technical reality.
• Governance and reporting: Run the governance cadence end to end, including operating committee and steering committee forums: agendas, papers, decisions, actions, and follow-through. Own all reporting materials up to senior leadership level, producing concise, accurate and decision-oriented packs, dashboards, and narratives. Establish a single source of truth for status, milestones, risks, and benefits, and ensure data quality behind it.
• Portfolio coherence: Maintain a coherent view of the whole change portfolio, identifying overlaps, conflicts, dependencies and gaps between workstreams. Support prioritisation and sequencing decisions, balancing capacity, risk and strategic value. Align portfolio governance with wider Data Science OKRs and planning cycles.
• Business cases and investment: Support leads in building robust business cases: clear problem statements, options, costs, benefits and risks. Work with Finance to validate assumptions and track realised benefits against the original case. Help shape the pipeline of future initiatives so new proposals fit the portfolio and strategy.

Skills & experience

Essential

• A data science, ML or AI engineering background, gained through hands‑on practitioner experience or through leading or governing data science delivery, sufficient to understand the technical content of the change workstreams and to translate it accurately for senior, non-technical audiences.
• Substantial experience running portfolio, programme, or transformation governance in a complex, technical organisation, with a track record of improving delivery discipline.
• Demonstrated experience producing and presenting reporting to senior and executive audiences, with the credibility to hold the room.
• Strong grounding in programme management methods (e.g. MSP, PRINCE2, P3O, Agile/SAFe or equivalent), applied pragmatically rather than dogmatically.
• Experience building or contributing to business cases, including benefits and financial modelling.
• Sharp analytical and written communication skills; able to turn complexity into a clear message.
• Confident challenger who can influence without relying on formal authority.

Desirable

• Exposure to AI governance and regulatory context (e.g. EU AI Act).
• Professional accreditation (e.g. MSP, PfMP, P3O, PMP).
• Experience in publishing, information services or a comparable data-rich business.

Why join us?

At Elsevier, you will be part of a diverse global product team that sits at the frontline of delivering value to customers. You will play a key role in enabling secure access to our products, shaping how customers experience and adopt our identity platform. We are committed to your success and wellbeing, offering flexible working, family leave, long‑service recognition, and a supportive, collaborative environment where everyone has a part to play.

Work in a way that works for you

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers, and private medical benefits.
• Wellbeing programs.
• Life assurance.
• Access to a competitive contributory pension scheme.
• Save As You Earn share option scheme.
• Travel Season ticket loan.
• Electric Vehicle Scheme.
• Optional Dental Insurance.
• Maternity, paternity, and shared parental leave.
• Employee Assistance Programme.
• Access to emergency care for both the elderly and children.
• RECARES days, giving you time to support the charities and causes that matter to you.
• Access to employee resource groups with dedicated time to volunteer.
• Access to extensive learning and development resources.
• Access to employee discounts scheme via Perks at Work.

About the business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

We are committed to providing a fair and accessible hiring process.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.

Elsevier is part of RELX Group. Let’s shape progress together. Join us. elsevier.com/about/careers