Solution director data and ai Job at AND Digital (Manchester)

Sr. Director, Product Management for Data & AI, Security and HSI

The Sr. Director of Product Management will lead the strategy and execution of T...

Location

United States , Bellevue

Salary:

207700.00 - 280900.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

More than 10 years Product Management experience in an agile software product development environment preferably in a large consumer organization with millions of consumer applications and an advanced level understanding of superior customer experiences
5+ years of experience in AI, data science, and analytics
Expertise in LLMs and Generative AI field
Experience leading digital applications and successfully launching Data & AI products in the market at large scale
Background working with Engineering and a strong understanding of the role of engineering in product development
10+ years of experience in leading strategy, innovation, and data products
Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms
5+ years leading and developing teams of 5 or more Manager level direct reports with skip-level employees
Bachelor's Degree in Computer Science, Engineering, IT or equivalent
Demonstrated experience driving enterprise data, analytics, and insights solutions and other technologies

Job Responsibility

Develop the data products that empower digital customer experiences to be contextual and personal, revamping and redesigning journeys using the new AI experiences
Define the overall strategy for how to build and deliver the best experience to our existing users and grow the strategic areas in the T-Life Super App and T-Shop on web
Build a Data & AI and Security platform for all Magenta users including Postpaid, Prepaid, TFB Micro and HSI
reusing the platform for Metro users to build the same capabilities in the new MyMetro App
Enable all the core HSI (High Speed Internet) consumer experiences into one single platform available across Magenta and Metro brands
Oversee Security Products for ScamSheild, P360, device diagnostics, VPN, credit monitoring etc. in T-Life to ensure that we can fully fill our promise of “Peace of mind” in the T-Life app
Develop and maintain strategic partnerships with senior internal and/or external customers
Creates, plans, and owns a portfolio of high-quality products & services through a lifecycle of envisioning/investing/innovating
Champion and communicate information and AI product value and other key performance indicators to partners and team members
Develop change management and communication plans and execute connected with customer change initiatives

What we offer

medical, dental and vision insurance
a flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Principal Consulting AI / Data Engineer

As a Principal Consulting AI / Data Engineer, you will design, build, and optimi...

Location

Australia , Sydney

Salary:

Not provided

DyFlex Solutions

Expiration Date

Until further notice

Requirements

Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments
Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink
Experience with cloud platforms (AWS, Azure, or GCP) and Databricks
Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
Track record of engaging senior executives and influencing strategic decisions
Strong consulting and stakeholder management skills with client-facing experience
Background in MLOps, ML pipelines, or AI solution delivery highly regarded
Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Job Responsibility

Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
Translate highly technical solutions into clear business value propositions for non-technical audiences
Mentor and guide teams of engineers and consultants to deliver high-quality solutions
Champion best practices across data engineering, MLOps, and cloud delivery
Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

What we offer

Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
A flexible and supportive work environment including work from home
Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
Structured career advancement pathways with opportunities to lead large-scale client programs
Exposure to diverse industries and client environments, including executive-level engagement

Fulltime

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...

Location

United States

Salary:

240700.00 - 360900.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Graduate degree in Computer Science, Engineering, Statistics or a related field
10+ years extensive experience building and scaling a data science function in a high-growth environment
10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
Experience reporting and presenting to senior business stakeholders
Experience leading go-to-market initiatives and partnering with product development teams
Experience with putting data science solutions in production and maintaining them
Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Director, Global Solutions & Success Operations

We’re seeking an experienced strategy and operations leader to head Global Solut...

Location

United States , San Francisco

Salary:

238500.00 - 284875.00 USD / Year

Intercom

Expiration Date

Until further notice

Requirements

Bachelor’s degree required
8+ years of leadership experience in Sales, Success, Business Operations, or Consulting (ideally in high-growth SaaS or AI)
Deep expertise in Solutions and customer delivery (customer success, sales engineering, professional services, etc.), segmentation, territory design, and incentive compensation
Proven track record leading and developing global teams, and influencing at all organizational levels
Exceptional analytical skills with advanced Excel/Google Sheets proficiency
ability to design dashboards, reporting, and executive presentations that turn complex data into clear insights
Strong project management and change skills
highly organized with the ability to manage multiple priorities in a fast-paced environment
Strategic thinker with strong business acumen and a proactive, problem-solving mindset

Job Responsibility

Act as a trusted advisor to Solutions, Services, and Success leaders, identifying opportunities for improvement across multiple roles and motions, and aligning initiatives with global GTM goals
Lead, mentor, and develop a high-performing operations team
Drive company-level GTM initiatives from conception to execution including role design, solution delivery processes, global expansion, and adoption of internal AI tools
Own capacity planning and workload modeling across functions to ensure resourcing meets demand
Oversee analysis of performance data, maintaining dashboards and reporting frameworks that provide actionable insights on customer health and maturity, rep productivity, conversion rates, delivery progress, and more
Establish process governance, standardization, and playbooks across functions and customer engagement motions to ensure global consistency and scale
Partner with Sales Ops, Marketing, GTM Analytics, Business Systems, Data Engineering, and Finance to design and deliver end-to-end GTM processes
Leverage AI to build a scalable, next-gen RevOps function and contribute to Intercom’s overall vision of an AI-first customer engagement model

What we offer

Competitive salary and meaningful equity
Comprehensive medical, dental, and vision coverage
Regular compensation reviews
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
In-office bicycle storage
Fun events for Intercomrades, friends, and family

Fulltime

Director of Engineering, Data Path Development

We are seeking a seasoned Director of Engineering, Data Path Development to lead...

Location

United States

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven experience managing large, distributed engineering teams in storage & embedded systems development, or related field
Demonstrated ability to mentor, evaluate, and lead senior technical teams through complex development challenges and innovation cycles
Exceptional communication and stakeholder management skills, with the ability to collaborate across engineers, architects, and executive teams
Extensive technical experience in a variety of storage technologies such as NVMe, Zstandard, data virtualization, deduplication, compression, multithreading and defragmentation
Proficiency in Embedded C++ and Golang
Familiarity with AMD and Intel platforms
Bachelor’s degree in computer science or similar field
15 or more years of related work experience, including 10 years of people management experience

Job Responsibility

Provide technical oversight and guidance to ensure engineering excellence in areas such as data virtualization, deduplication, compression, and defragmentation
Validate and evaluate technical decisions made by the team to ensure correctness, longevity, and maintainability of solutions
Manage a diverse engineering organization, including multiple managers and a team of approximately 50 engineers
Foster an inclusive, collaborative, and high-performing team culture
Define and lead the architectural planning for next-generation storage platforms, ensuring alignment with emerging technologies and industry trends
Collaborate with senior technologists and stakeholders to maintain HPE’s competitive edge in the storage domain
Explore and implement AI-driven development practices, CI/CD pipelines, and automated code reviews to enhance team efficiency and product quality
Establish scalable processes for effective delivery and continuous learning within the team
Work closely with product management and other stakeholders to align technical objectives with business goals and customer needs
Advocate for customer-centric solutions while responding to evolving market demands

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Solutions Director - Analytics & AI

Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to ...

Location

United Kingdom

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations
Proven track record delivering data modernization: lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments
At least 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization
Demonstrated success engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations
Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning
Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality
Proficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding models
Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools
Proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field

Job Responsibility

Strategic Leadership & Opportunity Development: Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for lakehouse transformations
Lead the design and architecture of dual solution portfolios: Generative AI Solutions, Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions
Data Modernization: Enterprise lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS
Act as the trusted advisor positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization
Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios
Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (lakehouse patterns, data mesh, unified analytics)
Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and lakehouse design patterns
Customer Engagement & Solution Delivery: Serve as the primary technical executive orchestrating both generative AI discussions and data modernization programs for strategic accounts
Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions
Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning

Fulltime

Solutions Director, Analytics & AI

Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to ...

Location

United States

Salary:

202100.00 - 355410.00 USD / Year

Rackspace

Expiration Date

Until further notice

Requirements

Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations
Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments
At least 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization
Demonstrated success engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations
Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning
Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality
Proficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding models
Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools
Proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences
Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or related technical field

Job Responsibility

Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations
Lead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions
Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS
Act as the trusted advisor positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization
Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios
Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics)
Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns
Serve as the primary technical executive orchestrating both generative AI discussions and data modernization programs for strategic accounts
Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions
Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning

What we offer

Opportunity to lead dual portfolios at the intersection of generative AI innovation and data platform modernization
Direct engagement with C-level executives on transformational initiatives
Access to latest AWS technologies across AI and data services
Work with leading platforms: Databricks, Snowflake, AWS native services
Comprehensive professional development and certification support
Competitive compensation and benefits package

Fulltime

Microsoft Elevate Worldwide Data Solutions Go to Market Director

We are seeking a forward‑thinking, impact‑driven Microsoft Elevate Worldwide Dat...

Location

United States , Multiple Locations

Salary:

133000.00 - 222700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Information Technology, Engineering, Health Sciences, Supply Chain, Education, Business or related field AND 5+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience
OR Bachelor's Degree in Computer Science, Information Technology, Engineering, Health Sciences, Supply Chain, Education, Business or related field AND 7+ years customer-facing experience in operations, enterprise-level improvement program management, product management, transportation, hospitality, automotive, consumer goods, financial services, retail, management consulting, consultative selling, public sector, technology or industry-relevant equivalent management or technical work experience
OR equivalent experience.
5+ years proven people management and/or leadership experience.
5+ years of experience in a WW GTM or Corporate function for Azure Data Solutions or comparable competitors.
5+ years of experience in creating and driving programs/businesses in the field required.
A proven track record of successfully managing a $500M+ business

Job Responsibility

Champion the adoption of secure AI-powered productivity solutions, including Microsoft 365 Copilot and agent-based workflows, to help nonprofits scale their impact.
Lead the development of offers, programs, and investment strategies tailored to the unique needs of nonprofit organizations, with a focus on AI readiness and digital transformation.
Serve as the principal advocate for AI Workforce in the nonprofit ecosystem, aligning internal stakeholders, partners, and field teams to accelerate adoption and usage.
Drive partner-led growth by enabling a robust ecosystem of solution providers to deliver value through AI agents, Copilot Studio, and integrated Microsoft 365 experiences.
Own and manage key performance indicators that reflect the health, reach, and impact of the Modern Work business across the nonprofit sector.
Develop and lead the business strategy for Microsoft Data Solutions—including modern data platforms, analytics, data governance, and AI‑ready data foundations—across the K–12 and nonprofit sectors.
Track performance and long‑term sustainability of data modernization and AI‑readiness initiatives, ensuring adoption is durable, scalable, and aligned to the needs of mission‑driven organizations.
Hold end‑to‑end accountability for defining scorecard metrics and KPIs that reflect data maturity, platform adoption, solution impact, and organizational outcomes.
Partner across senior leadership using a One Microsoft approach to drive alignment, inform investments, and optimize strategic decision‑making.
Represent the business in Rhythm of Business, monthly, and quarterly reviews—providing insights, risks, and recommendations grounded in product truth, customer data maturity, and real operational challenges.

Fulltime

Solution director data and ai

AND Digital

Location:
United Kingdom , Manchester

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 13, 2026

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