AI & Data Lead Job at Dynamic Search Solutions (North West)

Lead Data Analyst – Marketing Data & AI

Role Overview: We are seeking an experienced Lead Data Analyst with deep experti...

Location

India , Delhi, Kolkata

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

6–8 years of experience in data analytics, marketing analytics, or data science, with a strong technical foundation
Proven experience working with Customer Data Platforms (CDP) and marketing data ecosystems
Hands-on expertise with Adobe Analytics, Google Analytics, and related CRM/data management platforms
Advanced proficiency in SQL and experience working with large-scale datasets and cloud environments
Strong programming skills in Python or R for statistical analysis, modeling, and data processing
Deep understanding of marketing attribution, ROI modeling, and customer journey analytics
Experience in data visualization, dashboarding, and storytelling through data
Strong foundation in statistical testing, A/B testing, and experiment design

Job Responsibility

Lead the design and implementation of data models and pipelines supporting marketing analytics and customer intelligence
Integrate and manage data from Customer Data Platforms (CDPs), CRM, and marketing automation tools to create a unified customer view
Leverage Agentic AI and Gen AI frameworks to automate analytical workflows and drive advanced insights
Analyze marketing performance across channels to measure ROI, customer engagement, retention, and lifetime value
Build scalable dashboards, reports, and visualizations for marketing and executive stakeholders using tools like Tableau, Power BI, or Looker
Develop and apply machine learning models for segmentation, churn prediction, personalization, and recommendation systems
Drive experimentation and A/B testing to evaluate marketing effectiveness and optimize performance
Ensure data quality, governance, and compliance across data systems, analytics platforms, and pipelines
Partner with Marketing, Product, Data Science, and Engineering teams to define KPIs, optimize customer journeys, and enhance customer loyalty initiatives
Translate analytical findings into strategic recommendations to improve marketing performance and business outcomes

Lead Technical Program Manager – AI and Data, People Team

As a leader within the People Program Team, you will have a unique opportunity t...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Minimum 10+ years of relevant work experience across technical program management
Experience leading teams to deliver large-scale transformations across AI and Data Governance
Demonstrated experience implementing an organisational AI vision, strategy and roadmap
Proven track record of driving a robust data governance framework and compliance across all our data policies, including access management and role-based access control
Background in AI development, machine learning, process automation, or systems engineering, with the ability to navigate technical details
An API-first mindset and extensive experience with automation tools
Excellent verbal, written, and influencing skills (including experience with facilitating meetings and engaging with an executive audience)
Managed delivery across multiple business and engineering teams with strong track record driving complex programs and managing interdependent teams

Job Responsibility

Develop the People Team AI-First vision, strategy and roadmap to implement solutions to solve complex business challenges and become a fully AI enabled People Team
Lead and develop a high-performing team to deliver large scaled programs and partner with Business, Engineering, and AI teams to translate business priorities into AI strategies and delivery plans
Develop our People data governance roadmap in a partnership with People Insights and Engineering to ensure our People Products are compliant against our Data policies
Drive our Customer Zero objectives by advocating for feature enhancements across our Atlassian Products as we fully embed our People processes into the Atlassian System of Work
Drive our People Team Customer Zero feedback loop and beta testing for our Atlassian Products to enhance our product offerings for our external customers. This includes influencing our engineering team to ensure the People Team delivery roadmap is prioritised

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Head of Data & AI

Orbis are partnering with a high-growth FinTech firm with over 500 employees glo...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong proven experience running data teams and managing data technology strategy for a high-growth Financial Services or FinTech firm
A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure)
Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data
Excellent communication skills with the ability to collaborate with and present to C-Suite

Job Responsibility

Define and own the end-to-end Data & AI strategy across multiple business units and platforms
Consolidating and modernising multi-cloud data stacks and setting target data architecture for current and newly merged businesses
Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite
Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes

Technical Lead – AI/ML & Data Platforms

We are seeking a Technical Lead with strong managerial capabilities to drive the...

Location

United States , Sunnyvale

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

Strong expertise in data pipelines, architecture, and analytics platforms (e.g., Snowflake, Tableau)
Experience reviewing and optimizing data transformations, aggregations, and business logic
Hands-on familiarity with LLMs and practical RAG implementations
Knowledge of AI/ML workflows, model lifecycle management, and experimentation frameworks
Proven experience in managing complex, multi-track projects
Skilled in project tracking and collaboration tools (Jira, Confluence, or equivalent)
Excellent communication and coordination skills with technical and non-technical stakeholders
Experience working with cross-functional, globally distributed teams

Job Responsibility

Coordinate multiple workstreams simultaneously, ensuring timely delivery and adherence to quality standards
Facilitate daily stand-ups and syncs across global time zones, maintaining visibility and accountability
Understand business domains and technical architecture to enable informed decisions and proactive risk management
Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate business goals into actionable plans
Track project progress using Agile or hybrid methodologies, escalate blockers, and resolve dependencies
Own task lifecycle — from planning through execution, delivery, and retrospectives
Perform technical reviews of data pipelines, ETL processes, and architecture, identifying quality or design gaps
Evaluate and optimize data aggregation logic while ensuring alignment with business semantics
Contribute to the design and development of RAG pipelines and workflows involving LLMs
Create and maintain Tableau dashboards and reports aligned with business KPIs for stakeholders

Fulltime

Product Manager, AI Data Pipelines & Developer Community

As a Product Manager for AI Data Pipelines & Developer Community, you will be in...

Location

United States , Campbell

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Proven experience in product management, particularly with a focus on data and AI-driven products
Strong understanding of technical data architectures, machine learning models, and AI applications in a business context
Demonstrated success in growing technical product adoption and developer communities
Experience working with large datasets, data pipelines, and data platforms
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical audiences
Proven ability to think strategically and execute methodically, translating complex problems into actionable solutions
A Bachelor’s degree in Computer Science, Data Science, Business, or a related field is preferred

Job Responsibility

Define and Drive Product Strategy: Develop and communicate a clear vision and roadmap for the AI data pipeline platform and associated developer tools, ensuring alignment with business goals and market needs
Build and Optimize AI Data Pipelines: Work closely with our product team and IT, end-users, data engineers and data scientists from our customers to build, optimize, and maintain scalable data pipelines that allow them to enrich, classify, curate data for AI agents for augmentation and inferencing
Translate User Needs into Product Requirements: Gather and prioritize user requirements, translating them into detailed product specifications and coordinating development efforts with engineering and data science teams
Champion Developer Experience: Understand the needs of the developer community, both internal and external, and develop tools, resources, and programs that enhance their experience building with our AI data platform. Investigate participation in partner developer communities and open-source communities
Grow and Engage the Developer Community: Lead efforts to foster a vibrant developer community, potentially through events, forums, technical content, and strategic outreach
Measure and Analyze Product Performance: Define and track key metrics to measure the success and impact of both the AI data platform and community engagement efforts, using data-driven insights to iterate and improve
Cross-Functional Collaboration: Partner effectively with cross-functional teams, including engineering, marketing, sales, and customer success, to ensure product vision alignment and drive successful execution
Stay Ahead of the Curve: Monitor industry trends, emerging technologies, and competitive offerings related to AI, data infrastructure, and developer ecosystems

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

AI & Data Lead

Dynamic Search Solutions

Location:
United Kingdom , North West

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 08, 2025

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Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 08, 2025

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