Lead Specialist - Implementation Services
Marsh McLennan is hiring a Lead Specialist - Implementation Services in Gurugram, India. Level rates it ; you can apply on Level.
AI in this role
Lead data analytics and AI-enabled solution implementations using modern AI techniques, data pipelines, and visualization tools.
Company:
MercerDescription:
We are seeking a talented individual to join our Wealth Operations team at Marsh.
This role will be based in Gurugram. This is a hybrid role, that has a requirement of working at least three days a week in the office.
Lead Specialist - Implementation Services – Grade D1
What can you expect?
The purpose of this job is to deliver high-quality solutions that enable valued business outcomes and informed decisions by key stakeholders. It contributes to ensuring that the Delivery function meets the needs of the organization and clients / customers.
- Leading analytical workstreams across client engagements from requirements gathering through to delivery and stakeholder presentation
- Collaborating with clients, business stakeholders and technical specialists to translate business challenges into scalable data, analytics and AI-enabled solutions
- Designing and helping develop data pipelines, transformation processes and analytical models using SSDT, SQL, Python and cloud-based technologies
- Applying modern AI techniques, including GenAI, machine learning and AI-assisted development tools, to improve solution effectiveness and delivery efficiency
- Performing complex data quality assessments, reconciliations, anomaly detection and root-cause investigations to support reliable and defensible outcomes
- Developing impactful dashboards, visualizations and decision-support tools using Power BI and Tableau that enable clients to make informed decisions
- Contributing to solution architecture, technical design decisions and delivery approaches across analytics and AI initiatives
- Exposure to SSIS and SSDT and experience developing production-grade data-driven applications and AI-enabled solutions would be an advantage
- Coaching and mentoring junior team members through technical guidance, quality reviews and day-to-day collaboration
- Identifying opportunities to automate, standardize and improve delivery processes through reusable assets, accelerators and AI-enabled approaches
- Building trusted relationships with stakeholders and communicating technical concepts, insights and recommendations to both technical and non-technical audiences
- Perform Planning activities to determine the best approach and techniques for self on the project
- Understanding of Pension domain, Ability to articulate complex messages with clarity, to all audiences and flex style as required
- Perform stakeholder analysis and establish strong stakeholder relationships
- Prepare functional and technical specifications, including mapping for all registry and ancillary systems
- Support test team activities including triage and impact analysis
- Contribute to the development of new artefacts for re-use and to improve efficiency
- Provide learnings back to Team and to contribute to continuous improvement
- Perform Peer Review activities for other analyst’s project work
- Identify opportunities to uplift value from existing solutions
- Support Team Manager with strategy and project plan deliveries
We will count on you to
Innovation/Creativity
- Able to deal with ambiguity & challenge the status quo
- Pioneer new approaches
- Able to apply critical thinking
- Decisions Making
Communication
· Own communication on projects/client assigned: pro-actively inform project stakeholders about status of work, including development changes, scheduling, and quality goals.
What you need to have:
- 5+ years of relevant experience in data analytics, data engineering, AI or related technology disciplines
- Planning and Monitoring, Elicitation and Collaboration, Requirements Analysis and Design Definition, Solution Evaluation
- Responsible for delivering all projects, scoping, resourcing, prioritization and providing estimates to stakeholders.
- Working exposure on Visual Studio, SSDT, SSIS and ETL.
- Advanced Python and SQL skills, including data engineering, automation and analytical solution development
- Strong working experience in SQL programing
- Experienced on any wealth platforms, and must have exposure from perspective of data migration and ETL
- Strong experience designing and building data pipelines, transformation frameworks and scalable analytics solutions
- Practical experience leveraging GenAI, machine learning or AI-assisted development tools to improve business outcomes and delivery efficiency
- Strong problem-solving capability with the ability to structure ambiguous problems and develop pragmatic solutions
- Experience leading small workstreams and coordinating activities across multiple stakeholders
- Strong communication and presentation skills, with the ability to explain complex technical concepts to business audience
- Demonstrated ability to mentor and support junior team members
- A growth mindset, curiosity for emerging technologies and a passion for continuous learning
What makes you stand out?
- Adaptable communicator, facilitator, influencer and problem solver
- Good relationship skills, Proven ability to work on own initiative as well as in a team
- Ability to multi-task and prioritize time effectively
- Be highly analytical
- Able to work to tight deadlines and extended hours based on client requirement
- Have a successful track record interacting with business leaders
- Financial services industry experience preferred
- Provide and oversee financial information for the regional functions including firm wide initiatives
- Ability to lead and drive change within a transforming and matrixed organization
- Streamlines and standardizes financial activities and procedures to improve efficiency
Why join our team?
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Flexible work arrangements
- Discounted insurances
- Incentive Compensation Plan
- Leading training and development program
- Professional environment where your career path really matters and is supported in our global organization
- Great team environment with energetic and supportive colleagues
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.
Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
How we rate this
Lead Specialist - Implementation Services at Marsh McLennan rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where genai was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Pipelines, Analytics, Genai, Machine learning, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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