Senior Project Manager - AI and Data Transformation

Commify; Nottingham; Sur place; GBP 85 000 - 110 000; Plein temps

Résumé du poste

Commify is seeking an ambitious delivery professional to own high-impact deliverables in data transformation and enterprise AI adoption. The role focuses on leading cultural and operational shifts to create a single source of truth across the business, with exposure to AI-enabled workflows and an evolving operating model.

Ideal candidates will have strong data architecture understanding, proven project leadership, and experience guiding cross-functional teams through change, governance, and

Qualifications

• Proven project management experience leading complex, end-to-end transformations in fast-paced B2B SaaS or tech.
• Hands-on data transformation and enterprise data project leadership with governance and architecture.
• Experience in change management and embedding new ways of working in cross-functional teams.

Responsabilités

• Lead data transformation and enterprise data architecture initiatives.
• Drive data quality, governance, and compliance across the business.
• Support AI adoption and automated workflows to improve processes.
• Engage senior stakeholders across Product, Engineering, Sales, Marketing, Finance, and Operations.
• Translate technical concepts into clear business narratives for executives.
• Establish clear project scope, milestones, KPIs, and risk management frameworks.

Connaissances

Project management

Data transformation

Change management

AI & automation

Stakeholder management

Communication

Formation

PRINCE2 or PMP certification

Description du poste

At Commify, we're not just a company - we're a globally connected team of innovators who love what we do. As a CPaaS leader with 25 years of groundbreaking experience, we're the force behind over 5 billion customer interactions each year, enabling businesses worldwide to connect via advanced channels like SMS, RCS, and complex mobile journeys. Our culture is our core strength. Operating across the UK, EMEA, the USA, and Australia, we've fostered a truly diverse and connected environment, earning a consistent 4 out of 5 culture score in our employee engagement surveys. You'll join a vibrant team where your diverse experience makes a daily global impact. We need talented people to grow a global company where everyone feels proud to belong, have a purpose and do their best to directly shape the digital future.

The Role

We are looking for an ambitious delivery professional to step in and take ownership of high-impact deliverables across some of our most critical strategic pillars: Data Transformation and Enterprise AI Adoption. This is not a traditional IT delivery role. While a strong technical understanding of data architecture is essential, your primary objective will be leading the cultural, operational, and behavioural shifts required to embed a true single source of truth across the business. Experience with or a keen interest in AI tools and automated workflows is highly desirable, as you will have the opportunity to support our shift towards an AI-empowered operating model.

Key Responsibilities

• Data Transformation & Architecture: Manage core projects aimed at establishing a unified, enterprise data architecture. Balance technical data infrastructure delivery (data hygiene, integration, governance) with the organisational change management required to foster data-led decision-making.
• Data Quality & Compliance: Partner closely with data architects and engineering teams to ensure data integrity, security, and accessibility across all business levels.
• AI Adoption & Process Change (Desirable Focus): Support key milestones within our enterprise AI adoption programme. Help identify operational bottlenecks and deploy tailored AI-enabled solutions and automated workflows to drive process optimisation.
• Stakeholder Engagement & Relationship Building: Lead projects involving senior stakeholders across Product, Engineering, Sales, Marketing, Finance, and Operations. Build credibility rapidly to align priorities and navigate resistance to change.
• Executive Communication: Translate complex technical concepts into clear business narratives for executive sponsors, Steering Committees, and broader teams.
• Governance & Delivery: Establish clear project scope, milestones, KPIs, and risk management frameworks using Agile, Waterfall, or hybrid methodologies best suited to rapid deployment.

Key Experience

• Proven Project Management Experience leading complex, end-to-end transformation projects, ideally within a fast-paced B2B SaaS or technology environment.
• Data Transformation Expertise hands-on experience managing enterprise data projects focusing both on technical architecture integration and driving long-term behavioural shifts towards data adoption.
• Change Management Expertise strong background in change management frameworks, with proven capability in embedding new ways of working within cross-functional teams.
• AI & Automation Experience (Desirable) a track record or strong interest in delivering AI adoption, machine learning implementation, or intelligent automation projects that achieve tangible business outcomes.

Certifications

• Recognised Project Management qualifications (e.g. PRINCE2, PMP, AgilePM, CSM) or Change Management accreditations are highly desirable.

Core Competencies

• Exceptional Stakeholder Management: Skilled at navigating complex matrix environments, managing expectations, and resolving friction diplomatically.
• Adaptability & Resilience: Comfortable managing ambiguity in an organisation undergoing significant evolution.
• Commercial Mindset: Ability to map technical outputs directly to business value, efficiency gains, and bottom-line impact.
• Communication: Outstanding written and verbal communication skills.

Assessment Criteria

• AI Literacy & Tool Fluency: Ability to navigate, evaluate, and adopt domain-specific AI tools (e.g. generative text/image tools, enterprise copilots, automated analytics) to streamline daily work.
• Workflows & Prompting: Skill in structuring clear inputs and contexts to extract accurate, high-value outputs from AI platforms, converting machine results into actionable business deliverables.
• Output Validation & Quality Control: Ability to critically evaluate AI-generated outputs for accuracy, hallucination, bias, relevance.